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ORCIDCLEF 2024: Grenoble, France - Working Notes
- Guglielmo Faggioli, Nicola Ferro, Petra Galuscáková, Alba García Seco de Herrera:
Working Notes of the Conference and Labs of the Evaluation Forum (CLEF 2024), Grenoble, France, 9-12 September, 2024. CEUR Workshop Proceedings 3740, CEUR-WS.org 2024
BioASQ: Large-scale Biomedical Semantic Indexing and Question Answering
- Anastasios Nentidis, Georgios Katsimpras, Anastasia Krithara, Georgios Paliouras:
Overview of BioASQ Tasks 12b and Synergy12 in CLEF2024. 1-7 - Salvador Lima-López, Eulàlia Farré-Maduell, Jan Rodríguez-Miret, Miguel Rodríguez-Ortega, Livia Lilli, Jacopo Lenkowicz, Giovanna Ceroni, Jonathan Kossof, Anoop Shah, Anastasios Nentidis, Anastasia Krithara, Georgios Katsimpras, Georgios Paliouras, Martin Krallinger:
Overview of MultiCardioNER task at BioASQ 2024 on Medical Specialty and Language Adaptation of Clinical NER Systems for Spanish, English and Italian. 8-27 - Vera Davydova, Natalia V. Loukachevitch, Elena Tutubalina:
Overview of BioNNE Task on Biomedical Nested Named Entity Recognition at BioASQ 2024. 28-34 - Anna Aksenova, Aleksis Datseris, Sylvia Vassileva, Svetla Boytcheva:
Transformer-Based Disease and Drug Named Entity Recognition in Multilingual Clinical Texts: MultiCardioNER challenge. 35-46 - Tiago Almeida, Richard A. A. Jonker, João António Reis, João Rafael Almeida, Sérgio Matos:
BIT.UA at BioASQ 12: From Retrieval to Answer Generation. 47-67 - Christopher Anaya, Maria Fernandes, Francisco M. Couto:
LLM Fine-Tuning With Biomedical Open-Source Data. 68-77 - Samy Ateia, Udo Kruschwitz:
Can Open-Source LLMs Compete with Commercial Models? Exploring the Few-Shot Performance of Current GPT Models in Biomedical Tasks. 78-98 - Bing-Chen Chih, Jen-Chieh Han, Richard Tzong-Han Tsai:
NCU-IISR: Enhancing Biomedical Question Answering with GPT-4 and Retrieval Augmented Generation in BioASQ 12b Phase B. 99-105 - Manuela Daniela Danu, George Marica, Constantin Suciu, Lucian Mihai Itu, Oladimeji Farri:
Multilingual Clinical NER for Diseases and Medications Recognition in Cardiology Texts using BERT Embeddings. 106-116 - Yichen Gao, Licheng Zong, Yu Li:
Enhancing Biomedical Question Answering with Parameter-Efficient Fine-Tuning and Hierarchical Retrieval Augmented Generation. 117-129 - Rodrigo Gonçalves, André Lamúrias:
Team NOVA LINCS @ BIOASQ12 MultiCardioNER Track: Entity Recognition with Additional Entity Types. 130-137 - Bor-Woei Huang:
Generative Large Language Models Augmented Hybrid Retrieval System for Biomedical Question Answering. 138-149 - Richard A. A. Jonker, Tiago Almeida, Sérgio Matos:
BIT.UA at MultiCardioNER: Adapting a Multi-head CRF for Cardiology. 150-158 - Chaeeun Lee, T. Ian Simpson, Joram M. Posma, Antoine D. Lain:
Comparative Analyses of Multilingual Drug Entity Recognition Systems for Clinical Case Reports In Cardiology. 159-167 - Maël Lesavourey, Gilles Hubert:
Enhancing Biomedical Document Ranking with Domain Knowledge Incorporation in a Multi-Stage Retrieval Approach. 168-175 - Jan Heinrich Merker, Alexander Bondarenko, Matthias Hagen, Adrian Viehweger:
MiBi at BioASQ 2024: Retrieval-Augmented Generation for Answering Biomedical Questions. 176-187 - Dimitra N. Panou, Alexandros C. Dimopoulos, Martin Reczko:
Farming Open LLMs for Biomedical Question Answering. 188-196 - Hasin Rehana, Benu Bansal, Nur Bengisu Çam, Jie Zheng, Yongqun He, Arzucan Özgür, Junguk Hur:
Nested Named Entity Recognition using Multilayer BERT-based Model. 197-206 - Antonio Romano, Giuseppe Riccio, Marco Postiglione, Vincenzo Moscato:
Identifying Cardiological Disorders in Spanish via Data Augmentation and Fine-Tuned Language Models. 207-222 - Patrick Styll, Leonardo Campillos Llanos, Wojciech Kusa, Allan Hanbury:
Cross-Linguistic Disease and Drug Detection in Cardiology Clinical Texts: Methods and Outcomes. 223-244 - Wenxin Zhou:
Biomedical Nested NER with Large Language Model and UMLS Heuristics. 245-252 - Wenxin Zhou, Thuy Hang Ngo:
Using Pretrained Large Language Model with Prompt Engineering to Answer Biomedical Questions. 253-268 - Oguz Serbetçi, Xing David Wang, Ulf Leser:
HU-WBI at BioASQ12B Phase A: Exploring Rank Fusion of Dense Retrievers and Re-rankers. 269-275
CheckThat!: Predicting Check-Worthiness, Subjectivity, Persuasion, Roles and Authorities
- Maram Hasanain, Reem Suwaileh, Sanne Weering, Chengkai Li, Tommaso Caselli, Wajdi Zaghouani, Alberto Barrón-Cedeño, Preslav Nakov, Firoj Alam:
Overview of the CLEF-2024 CheckThat! Lab Task 1 on Check-Worthiness Estimation of Multigenre Content. 276-286 - Julia Maria Struß, Federico Ruggeri, Alberto Barrón-Cedeño, Firoj Alam, Dimitar Dimitrov, Andrea Galassi, Georgi Pachov, Ivan Koychev, Preslav Nakov, Melanie Siegel, Michael Wiegand, Maram Hasanain, Reem Suwaileh, Wajdi Zaghouani:
Overview of the CLEF-2024 CheckThat! Lab Task 2 on Subjectivity in News Articles. 287-298 - Jakub Piskorski, Nicolas Stefanovitch, Firoj Alam, Ricardo Campos, Dimitar Dimitrov, Alípio Jorge, Senja Pollak, Nikolay Ribin, Zoran Fijavz, Maram Hasanain, Purificação Silvano, Elisa Sartori, Nuno Guimarães, Ana Zwitter Vitez, Ana Filipa Pacheco, Ivan Koychev, Nana Yu, Preslav Nakov, Giovanni Da San Martino:
Overview of the CLEF-2024 CheckThat! Lab Task 3 on Persuasion Techniques. 299-310 - Fatima Haouari, Tamer Elsayed, Reem Suwaileh:
Overview of the CLEF-2024 CheckThat! Lab Task 5 on Rumor Verification using Evidence from Authorities. 311-320 - Piotr Przybyla, Ben Wu, Alexander V. Shvets, Yida Mu, Kim Cheng Sheang, Xingyi Song, Horacio Saggion:
Overview of the CLEF-2024 CheckThat! Lab Task 6 on Robustness of Credibility Assessment with Adversarial Examples (InCrediblAE). 321-338 - Peter Røysland Aarnes, Vinay Setty, Petra Galuscáková:
IAI Group at CheckThat! 2024: Transformer models and data augmentation for checkworthy claim detection. 339-350 - Sayanta Adhikari, Himanshu Sharma, Rupa Kumari, Shrey Satapara, Maunendra Desarkar:
DEFAULT at CheckThat! 2024: Retrieval Augmented Classification using Differentiable Top-K Operator for Rumor Verification based on Evidence from Authorities. 351-360 - Md. Rafiul Biswas, Abrar Tasneem Abir, Wajdi Zaghouani:
Nullpointer at CheckThat! 2024: Identifying Subjectivity from Multilingual Text Sequence. 361-368 - Mehmet Eren Bulut, Kaan Efe Keles, Mucahid Kutlu:
TurQUaz at CheckThat! 2024: A Hybrid Approach of Fine-Tuning and In-Context Learning for Check-Worthiness Estimation. 369-377 - Morgane Casanova, Julien Chanson, Benjamin Icard, Géraud Faye, Guillaume Gadek, Guillaume Gravier, Paul Égré:
HYBRINFOX at CheckThat! 2024 - Task 2: Enriching BERT Models with the Expert System VAGO for Subjectivity Detection. 378-386 - Md. Sajid Alam Chowdhury, Anik Mahmud Shanto, Mostak Mahmud Chowdhury, Hasan Murad, Udoy Das:
Fired_from_NLP at CheckThat! 2024: Estimating the Check-Worthiness of Tweets Using a Fine-tuned Transformer-based Approach. 387-395 - Basak Demirok, Selin Mergen, Bugra Oz, Mucahid Kutlu:
TurQUaz at CheckThat! 2024: Creating Adversarial Examples using Genetic Algorithm. 396-404 - Mirela Dryankova, Dimitar Dimitrov, Ivan Koychev, Preslav Nakov:
Mirela at CheckThat! 2024: Check-worthiness of Tweets with Multilingual Embeddings and Adversarial Training. 405-410 - Géraud Faye, Morgane Casanova, Benjamin Icard, Julien Chanson, Guillaume Gadek, Guillaume Gravier, Paul Egré:
HYBRINFOX at CheckThat! 2024 - Task 1: Enhancing Language Models with Structured Information for Check-Worthiness Estimation. 411-418 - Ewelina Gajewska:
Eevvgg at CheckThat! 2024: Evaluative Terms, Pronouns and Modal Verbs as Markers of Subjectivity in Text. 419-425 - Paolo Gajo, Luca Giordano, Alberto Barrón-Cedeño:
UniBO at CheckThat! 2024: Multi-lingual and Multi-label Persuasion Technique Detection in News with Data Augmentation and Sequence-Token Classifiers. 426-434 - Pawel Golik, Arkadiusz Modzelewski, Aleksander Jochym:
DSHacker at CheckThat! 2024: LLMs and BERT for Check-Worthy Claims Detection with Propaganda Co-occurrence Analysis. 435-445 - Shayne Gruman, Leila Kosseim:
CLaC-2 at CheckThat! 2024: A Zero-Shot Model for Check-Worthiness and Subjectivity Classification. 446-452 - David Guzman Piedrahita, Arnisa Fazla, Lucas Krauter:
TextTrojaners at CheckThat! 2024: Robustness of Credibility Assessment with Adversarial Examples through BeamAttack. 453-472 - Haokun He, Yafeng Song, Dylan Massey:
Palöri at CheckThat! 2024 Shared Task 6: GloTa - Combining GloVe Embeddings with RoBERTa for Adversarial Attack. 473-482 - Sanjai Balajee Kannan Giridharan, Sanjjit Sounderrajan, B. Bharathi, Nilu R. Salim:
SSN-NLP at CheckThat! 2024: Assessing the Check-Worthiness of Tweets and Debate Excerpts Using Traditional Machine Learning and Transformer Models. 483-488 - Luis Kolb, Allan Hanbury:
AuthEv-LKolb at CheckThat! 2024: A Two-Stage Approach To Evidence-Based Social Media Claim Verification. 489-505 - Wlodzimierz Lewoniewski, Piotr Stolarski, Milena Strózyna, Elzbieta Lewanska, Aleksandra Wojewoda, Ewelina Ksiezniak, Marcin Sawinski:
OpenFact at CheckThat! 2024: Combining Multiple Attack Methods for Effective Adversarial Text Generation. 506-519 - Yufeng Li, Rrubaa Panchendrarajan, Arkaitz Zubiaga:
FactFinders at CheckThat! 2024: Refining Check-worthy Statement Detection with LLMs through Data Pruning. 520-537 - Sai Geetha M, Prarthna M, Chiranjeev Prasannaa V. V, Saritha M:
Trio Titans at Check That_ 2024 : Check Worthiness Estimation. 538-545 - Sara Nabhani, Md Abdur Razzaq Riyadh:
Mela at CheckThat! 2024: Transferring Persuasion Detection from English to Arabic - A Multilingual BERT Approach. 546-551 - Ashraful Islam Paran, Md. Sajjad Hossain, Symom Hossain Shohan, Jawad Hossain, Shawly Ahsan, Mohammed Moshiul Hoque:
SemanticCuetSync at CheckThat! 2024: Finding Subjectivity in News Articles using Llama. 552-559 - Andrea Pasin, Nicola Ferro:
SEUPD@CLEF: Team Axolotl on Rumor Verification using Evidence from Authorities. 560-569 - Pooja Premnath, Pranav Vaithiya Subramani, Nilu R. Salim, Bharathi B:
SSN-NLP at CheckThat! 2024: From Feature-based Algorithms to Transformers: A Study on Detecting Subjectivity. 570-579 - Charlie Roadhouse, Matthew Shardlow, Ashley Williams:
MMU NLP at CheckThat! 2024: Homoglyphs are Adversarial Attacks. 580-589 - Antonio Rodríguez, Elisabet Golobardes, Jaume Suau:
Tonirodriguez at CheckThat!2024: Is it Possible to Use Zero-Shot Cross-Lingual Methods for Subjectivity Detection in Low-Resources Languages? 590-597 - Karla Salas-Jimenez, Iván Díaz, Helena Gómez-Adorno, Gemma Bel-Enguix, Gerardo Sierra:
JK_PCIC_UNAM at CheckThat! 2024: Analysis of Subjectivity in News Sentences Using Transformers-Based Models. 598-604 - Soumyadeep Sar, Dwaipayan Roy:
Indigo at CheckThat! 2024: Using Setfit: A Resource Efficient Technique for Subjectivity Detection in News Article. 605-612 - Marcin Sawinski, Krzysztof Wecel, Ewelina Ksiezniak:
OpenFact at CheckThat! 2024: Cross-Lingual Transfer Learning for Check-Worthiness Detection. 613-631 - Symom Hossain Shohan, Md. Sajjad Hossain, Ashraful Islam Paran, Jawad Hossain, Shawly Ahsan, Mohammed Moshiul Hoque:
SemanticCuetSync at CheckThat! 2024: Pre-trained Transformer-based Approach to Detect Check-Worthy Tweet. 632-640 - Tanisha Sriram, Yadushree Venkatesh, Sowmya Anand, Bharathi B:
DataBees at CheckThat! 2024: Check-Worthiness Estimation. 641-650 - Sergiu Stoia, Jaime Collado-Montañez, Cristian Ibáñez-Bautista, Arturo Montejo-Ráez, María Teresa Martín-Valdivia, Manuel Carlos Díaz-Galiano:
SINAI at CheckThat! 2024: Transformer-based Approaches for Check-Worthiness Classification. 651-657 - José Valle-Aguilera, Alberto José Gutiérrez-Megías, Salud María Jiménez-Zafra, Luis Alfonso Ureña López, Eugenio Martínez-Cámara:
SINAI at CheckThat! 2024: Stealthy Character-Level Adversarial Attacks Using Homoglyphs and Iterative Search. 658-665 - Inna Vogel, Pauline Möhle:
Fraunhofer SIT at CheckThat! 2024: Adapter Fusion for Check-Worthiness Detection. 666-671 - Sanne Weering, Tommaso Caselli:
FC_RUG at CheckThat! 2024: Few-shot Learning Using GEITje for Check-Worthiness Detection in Dutch. 672-679 - Syeda Duae Zehra, Kushal Chandani, Muhammad Khubaib, Ahmed Ali Aun Muhammed, Faisal Alvi, Abdul Samad:
Checker Hacker at CheckThat! 2024: Detecting Check-Worthy Claims and Analyzing Subjectivity with Transformers. 680-686
ELOQUENT: Evaluating Generative Language Models
- Jussi Karlgren, Aarne Talman:
ELOQUENT 2024 - Topical Quiz Task. 687-690 - Luise Dürlich, Evangelia Gogoulou, Liane Guillou, Joakim Nivre, Shorouq Zahra:
Overview of the CLEF-2024 Eloquent Lab: Task 2 on HalluciGen. 691-702 - Magnus Sahlgren, Jussi Karlgren, Luise Dürlich, Evangelia Gogoulou, Aarne Talman, Shorouq Zahra:
ELOQUENT 2024 - Robustness Task. 703-707 - Vasumathi Neralla, Sander Bijl de Vroe:
Evaluating Poro-34B-Chat and Mistral-7B-Instruct-v0.1: LLM System Description for ELOQUENT at CLEF 2024. 708-711 - Marco Siino, Ilenia Tinnirello:
GPT Hallucination Detection Through Prompt Engineering. 712-721 - Annika Simonsen:
Experimental Report on Robustness Task - ELOQUENT Lab @ CLEF 2024. 722-726 - Anh Thu Bui, Saskia Felizitas Brech, Natalie Hußfeldt, Tobias Jennert, Melanie Ullrich, Timo Breuer, Narjes Nikzad-Khasmakhi, Philipp Schaer:
The Two Sides of the Coin: Hallucination Generation and Detection with LLMs as Evaluators for LLMs. 727-758
eRisk 2024: Early Risk Prediction on the Internet
- Javier Parapar, Patricia Martín-Rodilla, David E. Losada, Fabio Crestani:
Overview of eRisk 2024: Early Risk Prediction on the Internet (Extended Overview). 759-781 - Beng Heng Ang, Sujatha Das Gollapalli, See-Kiong Ng:
NUS-IDS@eRisk2024: Ranking Sentences for Depression Symptoms using Early Maladaptive Schemas and Ensembles. 782-793 - Anna Barachanou, Filareti Tsalakanidou, Symeon Papadopoulos:
REBECCA at eRisk 2024: Search for Symptoms of Depression Using Sentence Embeddings and Prompt-Based Filtering. 794-802 - Andreu Casamayor, Vicent Ahuir, Antonio Molina, Lluís-Felip Hurtado:
ELiRF-VRAIN at eRisk 2024: Using LongFormers for Early Detection of Signs of Anorexia. 803-812 - Hermenegildo Fabregat, Daniel Deniz, Andrés Duque, Lourdes Araujo, Juan Martínez-Romo:
NLP-UNED at eRisk 2024: Approximate Nearest Neighbors with Encoding Refinement for Early Detecting Signs of Anorexia. 813-824 - David Guecha, Aaryan Potdar, Anthony Miyaguchi:
DS@GT eRisk 2024: Sentence Transformers for Social Media Risk Assessment. 825-833 - Raluca-Maria Hanciu:
MindwaveML at eRisk 2024: Identifying Depression Symptoms in Reddit Users. 834-840 - Diego Maupomé, Yves Ferstler, Sébastien Mosser, Marie-Jean Meurs:
Automatically Finding Evidence and Predicting Answers in Mental Health Self-Report Questionnaires. 841-850 - Alba María Mármol-Romero, Adrián Moreno-Muñoz, Pablo Álvarez-Ojeda, Karla María Valencia-Segura, Eugenio Martínez-Cámara, Manuel García Vega, Arturo Montejo-Ráez:
SINAI at eRisk@ CLEF 2024: Approaching the Search for Symptoms of Depression and Early Detection of Anorexia Signs using Natural Language Processing. 851-861 - Ronghao Pan, José Antonio García-Díaz, Tomás Bernal-Beltrán, Rafael Valencia-García:
UMUTeam at eRisk@CLEF 2024: Fine-Tuning Transformer Models with Sentiment Features for Early Detection and Severity Measurement of Eating Disorders. 862-870 - Alejandro Pardo Bascuñana, Isabel Segura-Bedmar:
APB-UC3M at eRisk 2024: Natural Language Processing and Deep Learning for the Early Detection of Mental Disorders. 871-880 - Sachin Prasanna, Abhayjit Singh Gulati, Subhojit Karmakar, M. Yoga Hiranmayi, Anand Kumar Madasamy:
Measuring the severity of the signs of Eating Disorders using Machine Learning Techniques. 881-887 - Oskar Riewe-Perla, Agata Filipowska:
Combining Recommender Systems and Language Models in Early Detection of Signs of Anorexia. 888-893 - Prateek Sarangi, Sumit Kumar, Shraddha Agarwal, Tanmay Basu:
A Natural Language Processing Based Framework for Early Detection of Anorexia via Sequential Text Processing. 894-901 - Horacio Thompson, Marcelo Errecalde:
A Time-Aware Approach to Early Detection of Anorexia: UNSL at eRisk 2024. 902-907
EXIST: sEXism Identification in Social neTworks
- Laura Plaza, Jorge Carrillo de Albornoz, Víctor Ruiz, Alba Maeso, Berta Chulvi, Paolo Rosso, Enrique Amigó, Julio Gonzalo, Roser Morante, Damiano Spina:
Overview of EXIST 2024 - Learning with Disagreement for Sexism Identification and Characterization in Tweets and Memes (Extended Overview). 908-941 - Giacomo Aru, Nicola Emmolo, Simone Marzeddu, Andrea Piras, Jacopo Raffi, Lucia C. Passaro:
RoBEXedda: Sexism Detection in Tweets. 942-957 - AmirMohammad Azadi, Baktash Ansari, Sina Zamani, Sauleh Eetemadi:
Bilingual Sexism Classification: Fine-Tuned XLM-RoBERTa and GPT-3.5 Few-Shot Learning. 958-965 - Deeparghya Dutta Barua, Md Sakib Ul Rahman Sourove, Fabiha Haider, Fariha Tanjim Shifat, Md Farhan Ishmam, Md Fahim, Farhad Alam Bhuiyan:
Penta ML at EXIST 2024: Tagging Sexism in Online Multimodal Content With Attention-enhanced Modal Context. 966-977 - Álvaro Carrillo-Casado, Javier Román Pásaro, Jacinto Mata Vázquez, Victoria Pachón Álvarez:
I2C-UHU at EXIST 2024: Transformer-Based Detection of Sexism and Source Intention in Memes Using a Learning with Disagreement Approach. 978-992 - Shiying Fan, Raphael Antonius Frick, Martin Steinebach:
FraunhoferSIT@EXIST2024: Leveraging Stacking Ensemble Learning for Sexism Detection. 993-1002 - Yi-Zeng Fang, Lung-Hao Lee, Juinn-Dar Huang:
NYCU-NLP at EXIST 2024: Leveraging Transformers with Diverse Annotations for Sexism Identification in Social Networks. 1003-1011 - Arnau García i Cucó, Miquel Obrador Reina:
LightGBM for Sexism Identification in Memes. 1012-1017 - Gersome Shimi, Jerin Mahibha C, Durairaj Thenmozhi:
Automatic Classification of Gender Stereotypes in Social Media Post. 1018-1025 - Manuel Guerrero-García, Manuel Cerrejón-Naranjo, Jacinto Mata Vázquez, Victoria Pachón-Álvarez:
I2C-UHU at EXIST2024: Learning from Divergence and Perspectivism for Sexism Identification and Source Intent Classification. 1026-1042 - Martha Paola Jimenez-Martinez, Joan Manuel Raygoza-Romero, Carlos Eduardo Sánchez-Torres, Irvin Hussein López-Nava, Manuel Montes-y-Gómez:
Enhancing Sexism Detection in Tweets with Annotator-Integrated Ensemble Methods and Multimodal Embeddings for Memes. 1043-1057 - Ron Keinan:
Sexism Identification in Social Networks using TF-IDF Embeddings, PreProccessing, Feature Selection, Word/Char N-Grams and Various Machine Learning Models In Spanish and English. 1058-1069 - Sahrish Khan, Gabriele Pergola, Arshad Jhumka:
Multilingual Sexism Identification via Fusion of Large Language Models. 1070-1079 - Jing Ma, Rong Li:
RoJiNG-CL at EXIST 2024: Leveraging Large Language Models for Multimodal Sexism Detection in Memes. 1080-1090 - Fariha Maqbool, Elisabetta Fersini:
A Contrastive Learning Based Approach to Detect Sexism in Memes. 1091-1097 - Nimra Maqbool:
Sexism Identification in Social Networks: Advances in Automated Detection - A Report on the Exist Task at CLEF. 1098-1106 - Elizabeth Martinez, Juan Cuadrado, Juan Carlos Martínez Santos, Edwin Puertas:
VerbaNex AI at CLEF EXIST 2024: Detection of Online Sexism using Transformer Models and Profiling Techniques. 1107-1113 - Aitana Menárguez-Box, Diego Torres-Bertomeu:
DiTana-PV at sEXism Identification in Social neTworks (EXIST) tasks 4 and 6: The Effect of Translation in Sexism Identification. 1114-1121 - Aylin Naebzadeh, Melika Nobakhtian, Sauleh Eetemadi:
NICA at EXIST CLEF Tasks 2024. 1122-1134 - Ronghao Pan, José Antonio García-Díaz, Tomás Bernal-Beltrán, Rafael Valencia-García:
UMUTeam at EXIST 2024: Multi-modal Identification and Categorization of Sexism by Feature Integration. 1135-1147 - Umera Wajeed Pasha:
Multilingual Sexism Detection in Memes, A CLIP-Enhanced Machine Learning Approach. 1148-1156 - Alexandru Petrescu, Ciprian-Octavian Truica, Elena Simona Apostol:
Language-based Mixture of Transformers for EXIST2024. 1157-1164 - Le Minh Quan, Dang Van Thin:
Sexism Identification in Social Networks with Generation-based Language Models. 1165-1176 - Giulia Rizzi, David Gimeno-Gómez, Elisabetta Fersini, Carlos D. Martínez-Hinarejos:
PINK at EXIST2024: A Cross-Lingual and Multi-Modal Transformer Approach for Sexism Detection in Memes. 1177-1186 - Víctor Ruiz, Jorge Carrillo-de-Albornoz, Laura Plaza:
Concatenated Transformer Models Based On Levels Of Agreements For Sexism Detection. 1187-1197 - Aditya Shah, Aditya Gokhale:
Team Aditya at EXIST 2024 - Detecting Sexism in Multilingual Tweets using Contrastive Learning Approach. 1198-1202 - Abhay Shanbhag, Suramya Jadhav, Atharva Date, Sumedh Joshi, Sheetal Sonawane:
The Wisdom of Weighing: Stacking Ensembles for a More Balanced Sexism Detector. 1203-1213 - Fariha Tanjim Shifat, Fabiha Haider, Md Sakib Ul Rahman Sourove, Deeparghya Dutta Barua, Md Farhan Ishmam, Md Fahim, Farhad Alam Bhuiyan:
Penta-nlp at EXIST 2024 Task 1-3: Sexism Identification, Source Intention, Sexism Categorization In Tweets. 1214-1227 - Marco Siino, Ilenia Tinnirello:
Prompt Engineering for Identifying Sexism using GPT Mistral 7B. 1228-1236 - Tony Smith, H. Ruda Nie, Johanne R. Trippas, Damiano Spina:
RMIT-IR at EXIST Lab at CLEF 2024. 1237-1252 - Murari Sreekumar, Shreyas Karthik, Durairaj Thenmozhi, Shriram Gopalakrishnan, Krithika Swaminathan:
Sexism Identification in Tweets Using Machine Learning Approaches. 1253-1259 - Judith Tavarez-Rodríguez, Fernando Sánchez-Vega, Alejandro Rosales-Pérez, Adrián Pastor López-Monroy:
Better Together: LLM and Neural Classification Transformers to Detect Sexism. 1260-1273 - Maha Usmani, Rania Siddiqui, Samin Rizwan, Faryal Khan, Faisal Alvi, Abdul Samad:
Sexism Identification in Tweets using BERT and XLM - Roberta. 1274-1279 - Advaitha Vetagiri, Prateek Mogha, Partha Pakray:
Cracking Down on Digital Misogyny with MULTILATE a MULTImodaL hATE Detection System. 1280-1296 - Kapioma Villarreal Haro, Fernando Sánchez-Vega, Alejandro Rosales-Pérez, Adrián Pastor López-Monroy:
Stacked Reflective Reasoning in Large Neural Language Models. 1297-1311
iDPP: Intelligent Disease Progression Prediction
- Giovanni Birolo, Pietro Bosoni, Guglielmo Faggioli, Helena Aidos, Roberto Bergamaschi, Paola Cavalla, Adriano Chiò, Arianna Dagliati, Mamede de Carvalho, Giorgio Maria Di Nunzio, Piero Fariselli, Jose Manuel García Dominguez, Marta Gromicho, Alessandro Guazzo, Enrico Longato, Sara C. Madeira, Umberto Manera, Stefano Marchesin, Laura Menotti, Gianmaria Silvello, Eleonora Tavazzi, Erica Tavazzi, Isotta Trescato, Martina Vettoretti, Barbara Di Camillo, Nicola Ferro:
Overview of iDPP@CLEF 2024: The Intelligent Disease Progression Prediction Challenge. 1312-1331 - Guido Barducci, Flavio Sartori, Giovanni Birolo, Tiziana Sanavia, Piero Fariselli:
ALSFRS-R Score Prediction for Amyotrophic Lateral Sclerosis. 1332-1340 - Pietro Bosoni, Mahin Vazifehdan, Daniele Pala, Eleonora Tavazzi, Roberto Bergamaschi, Riccardo Bellazzi, Arianna Dagliati:
Predicting Multiple Sclerosis Relapses Using Patient Exposure Trajectories. 1341-1352 - Elena Marinello, Alessandro Guazzo, Enrico Longato, Erica Tavazzi, Isotta Trescato, Martina Vettoretti, Barbara Di Camillo:
Using Wearable and Environmental Data to Improve the Prediction of Amyotrophic Lateral Sclerosis and Multiple Sclerosis Progression: an Explorative Study. 1353-1365 - Andreia S. Martins, Daniela M. Amaral, Eduardo N. Castanho, Diogo F. Soares, Ruben Branco, Sara C. Madeira, Helena Aidos:
Predicting the Functional Rating Scale and Self-Assessment Status of ALS Patients with Sensor Data. 1366-1379 - Ritesh Mehta, Aleksandar Pramov, Shashank Verma:
Machine Learning for ALSFRS-R Score Prediction: Making Sense of the Sensor Data. 1380-1391 - Chibuzor Chukwuemeka Okere, Edwin Thuma, Gontlafetse Mosweunyane:
UBCS at IDPP: Predicting Patient Self-Assessment Score from Sensor Data using Machine Learning Algorithms. 1392-1400 - Jorge Miguel Silva, José Luís Oliveira:
BIT.UA at iDPP: Predictive Analytics on ALS Disease Progression Using Sensor Data with Machine Learning. 1401-1411
ImageCLEF: Multimodal Challenge in CLEF
- Alexandra-Georgiana Andrei, Ahmedkhan Radzhabov, Dzmitry Karpenka, Yuri Prokopchuk, Vassili Kovalev, Bogdan Ionescu, Henning Müller:
Overview of the 2024 ImageCLEFmedical GANs Task - Investigating Generative Models' Impact on Biomedical Synthetic Images. 1412-1428 - Steven Hicks, Andrea M. Storås, Pål Halvorsen, Michael Riegler, Vajira Thambawita:
Overview of ImageCLEFmedical 2024 - Medical Visual Question Answering for Gastrointestinal Tract. 1429-1436 - Johannes Rückert, Asma Ben Abacha, Alba Garcia Seco de Herrera, Louise Bloch, Raphael Brüngel, Ahmad Idrissi-Yaghir, Henning Schäfer, Benjamin Bracke, Hendrik Damm, Tabea Margareta Grace Pakull, Cynthia Sabrina Schmidt, Henning Müller, Christoph M. Friedrich:
Overview of ImageCLEFmedical 2024 - Caption Prediction and Concept Detection. 1437-1455 - Wen-wai Yim, Asma Ben Abacha, Yujuan Fu, Zhaoyi Sun, Meliha Yetisgen, Fei Xia:
Overview of the MEDIQA-MAGIC Task at ImageCLEF 2024: Multimodal And Generative TelemedICine in Dermatology. 1456-1462 - Arvind Agrawal, Sukomal Pal:
IRLab@IIT_BHU at MEDIQA-MAGIC 2024: Medical Question Answering using Classification model. 1463-1473 - Bhavana Anand, Themozhi J, Shreyas Sai R, Charumathi P, Mirnalinee Tt:
SSN-MLRG at Text to Picto 2024 : A BERT-Based Approach for Mapping French Sentences to Pictogram Terms. 1474-1479 - Alexandra-Georgiana Andrei, Mihai Gabriel Constantin, Mihai Dogariu, Bogdan Ionescu:
AI Multimedia Lab at ImageCLEFmedical GANs 2024: Deep Learning Approaches for Analyzing Synthetic Medical Images. 1480-1489 - Masaki Aono, Tetsuya Asakawa, Kazuki Shimizu, Kei Nomura:
Medical Image Captioning using CUI-based Classification and Feature Similarity. 1490-1499 - Tetsuya Asakawa, Kazuki Shimizu, Kei Nomura, Masaki Aono:
KDE-med-lab at ImageCLEF 2024: Identify data and detect generative models using CNN by lung segmentation based on U-net. 1500-1507 - Prabavathy Balasundaram, Karthikeyan Swaminathan, Oviasree Sampath, Pradeep Km:
Concept Detection and Caption Prediction of Radiology Images Using Convolutional Neural Networks. 1508-1516 - Shitong Cao, Xiaobing Zhou:
Evaluation of the Privacy of Images Generated by ImageCLEFmedical GANs 2024 Based on Similarity Methods. 1517-1524 - Diedre Carmo, Letícia Rittner, Roberto de Alencar Lotufo:
VisualT5: Multitasking Caption and Concept Prediction with Pre-trained ViT, T5 and Customized Spatial Attention in Radiological Images. 1525-1532 - Mikhail Chaichuk, Elena Tutubalina:
MMCP Team at ImageCLEFmed MEDVQA-GI 2024 Task: Diffusion Models for Text-to-Image Generation of Colonoscopy Images. 1533-1544 - Patrycja Cieplicka, Julia Klos, Maciej Morawski:
VisionQAries at MEDIQA-MAGIC 2024: Small Vision Language Models for Dermatological Diagnosis. 1545-1551 - Ramyaa Dhinagaran, Sheerin Sitara Noor Mohamed, Kavitha Srinivasan:
SSNMLRGKSR at ImageCLEFmedical Caption 2024: Medical Concept Detection using DenseNet-121 with MultiLabelBinarizer. 1552-1559 - Ojonugwa Oluwafemi Ejiga Peter, Md Mahmudur Rahman, Fahmi Khalifa:
Advancing AI-Powered Medical Image Synthesis: Insights from MedVQA-GI Challenge Using CLIP, Fine-Tuned Stable Diffusion, and Dream-Booth + LoRA. 1560-1578 - Abbhinav Elliah, Ananth Narayanan P, Bhuvan S, Palaniappan Mirunalini:
Text-To-Picto using Lexical Simplification. 1579-1584 - Md. Ismail Siddiqi Emon, Mahmudul Hoque, Md. Rakibul Hasan, Fahmi Khalifa, Md Mahmudur Rahman:
Fingerprint Identification of Generative Models Using a MultiFormer Ensemble Approach. 1585-1598 - Hsian-Hong Fu, Hsien-Cheng Huang:
YuanAI at MEDIQA-MAGIC 2024: Improving Medical VQA Performance through Parameter-Efficient Fine-Tuning. 1599-1607 - Shota Fukuyama, Tetsuya Asakawa, Kazuki Shimizu, Kei Nomura, Masaki Aono:
KDE Lab at ImageCLEFmedical GANs 2024. 1608-1612 - Amilcare Gentili:
Detecting Training Data and Generative Model Fingerprints in Synthetic CT Scans Using Machine Learning. 1613-1618 - Mahmudul Hoque, Md. Rakibul Hasan, Md. Ismail Siddiqi Emon, Fahmi Khalifa, Md Mahmudur Rahman:
Medical Image Interpretation with Large Multimodal Models. 1619-1639 - Koki Inoue, Tetsuya Asakawa, Kazuki Shimizu, Kei Nomura, Masaki Aono:
Identifying Training Data "Fingerprints" Using Border Enhancing Image Processing Methods and Their Ensemble. 1640-1644 - Heiko Kauschke, Kirill Bogomasov, Stefan Conrad:
Predicting Captions and Detecting Concepts for Medical Images: Contributions of the DBS-HHU Team to ImageCLEFmedical Caption 2024. 1645-1655 - Avaneesh Koushik, Jithu Morrison S, Palaniappan Mirunalini, Jothir Aditya R. K:
A Transformer Based Approach for Text-to-Picto Generation. 1656-1661 - Diana Miranda, Aparna Rane, Bipin Naik:
Analyzing Generated Images using Machine Learning. 1662-1667 - Axel Moncloa-Muro, Graciela Ramírez Alonso, Fernando Martínez-Reyes:
Automatic Medical Concept Detection on Images: Dividing the Task into Smaller Ones. 1668-1680 - Nhi Ngoc-Yen Nguyen, Huy Le Tu, Phuong Dieu Nguyen, Tan Nhat Do, Triet Minh Thai, Thien B. Nguyen-Tat:
DS@BioMed at ImageCLEFmedical Caption 2024: Enhanced Attention Mechanisms in Medical Caption Generation through Concept Detection Integration. 1681-1694 - Quan Van Nguyen, Huy Quang Pham, Dan Quang Tran, Thang Kien-Bao Nguyen, Nhat-Hao Nguyen-Dang, Thien B. Nguyen-Tat:
UIT-DarkCow team at ImageCLEFmedical Caption 2024: Diagnostic Captioning for Radiology Images Efficiency with Transformer Models. 1695-1710 - Thien V. Phan, Trinh K. Nguyen, Quang A. D. D. Hoang, Quan T. Phan, Thien B. Nguyen-Tat:
UIT-2Q2T at ImageCLEFmedical 2024 Caption: Multimodal medical image captioning using Bootstrapping Language-Image Pre-training. 1711-1719 - Sriram Ram, Shashaank Vinoth, Rahul Natesh Gopalakrishnan, Aastick Amirteswar Balakumar, Lekshmi Kalinathan, Thomas Abraham Joseph Velankanni:
Leveraging Diverse CNN Architectures for Medical Image Captioning: DenseNet-121, MobileNetV2, and ResNet-50 in ImageCLEF 2024. 1720-1728 - Marina Samprovalaki, Anna Chatzipapadopoulou, Georgios Moschovis, Foivos Charalampakos, Panagiotis Kaliosis, John Pavlopoulos, Ion Androutsopoulos:
AUEB NLP Group at ImageCLEFmedical Caption 2024. 1729-1745 - Huihui Tang, Hancheng Wang, Jining Chen:
Classification of Real and Generated Images Based on Feature Similarity. 1746-1754 - Aman Upganlawar, Aarti Lad, Arnav Desai:
GAN-Amis: Evaluating Clustering of GAN-Generated Medical Images Using Custom and Pre-trained CNN Architectures to Identify GAN Fingerprints. 1755-1762 - Bang Yang, Yue Yu, Yuexian Zou, Tong Zhang:
PCLmed: Champion Solution for ImageCLEFmedical 2024 Caption Prediction Challenge via Medical Vision-Language Foundation Models. 1763-1774
JOKER Lab: Automatic Humour Analysis
- Liana Ermakova, Anne-Gwenn Bosser, Tristan Miller, Adam Jatowt:
Overview of the CLEF 2024 JOKER Task 1: Humour-aware Information Retrieval. 1775-1785 - Victor Manuel Palma-Preciado, Grigori Sidorov, Liana Ermakova, Anne-Gwenn Bosser, Tristan Miller, Adam Jatowt:
Overview of the CLEF 2024 JOKER Task 2: Humour Classification According to Genre and Technique. 1786-1799 - Liana Ermakova, Anne-Gwenn Bosser, Tristan Miller, Adam Jatowt:
Overview of the CLEF 2024 JOKER Task 3: Translate puns from English to French. 1800-1810 - Harouna Baguian, Huynh Nina Ashley:
JOKER Track @ CLEF 2024: the Jokesters' approaches for retrieving, classifying, and translating wordplay. 1811-1817 - Antonia Bartulovic, Dóra Paula Váradi:
University of Split and University of Malta (Team AB&DPV) at the CLEF 2024 JOKER Track: From 'LOL' to 'MDR' Using Artificial Intelligence Models to Retrieve and Translate Puns. 1818-1825 - Ryan Rony Dsilva, Nidhi Bhardwaj:
PunDerstand @ CLEF JOKER 2024: Who's Laughing Now? Humor Classification by Genre & Technique. 1826-1833 - Regina Elagina, Petra Vucic:
Working Notes of CLEF 2024: Effective Humor Analysis and Translation. 1834-1840 - Pierre Epron, Gaël Guibon, Miguel Couceiro:
ORPAILLEUR & SyNaLP at CLEF 2024 Task 2: Good Old Cross Validation for Large Language Models Yields the Best Humorous Detection. 1841-1856 - Arina Gepalova, Adrian-Gabriel Chifu, Sébastien Fournier:
CLEF 2024 Joker Task 1: Exploring Pun Detection Using The T5 Transformer Model. 1857-1861 - Jana Viktória Kováciková, Marek Suppa:
Thinking, Fast and Slow: From the Speed of FastText to the Depth of Retrieval Augmented Large Language Models For Humour Classification. 1862-1867 - Rowan Mann, Tomislav Mikulandric:
CLEF 2024 JOKER Tasks 1-3: Humour identification and classification. 1868-1875 - Sarvesh Narayanan, Jayasimman J, Shiva Ganesh V:
CLEF 2024 JOKER Task 2 : Using RoBERTa and Bert-uncased for Humour Classification According to Genre and Technique. 1876-1879 - Victor Manuel Palma Preciado, Carolina Palma-Preciado, Grigori Sidorov:
NLPalma Joker 2024: Yet, no Humor with Humorousness - Task 2 Humour Classification According to Genre and Technique. 1880-1888 - Olga Popova:
Comparative Evaluation of Humour Translation from English to Spanish: A Study with BLOOM and Googletrans. 1889-1894 - Dhannya S. M, Lakshmi Priya S, Shreedevi Seluka Balaji, Sai Nikitha N. S. R, Shwetha S, Surabhi Kamath, Srinidhi Lakshmi Narayanan:
Vayam Solve Kurmaha @ CLEF 2024: Task 2: Humor Classification according to Genre and Technique using BERT Embeddings and Transformers. 1895-1901 - M. Saipranav, Jaswanth Sridharan, Gautham Narayan G, Angel Deborah S, Rajalakshmi Sivanaiah, Mirnalinee T. T, Samyuktaa Sivakumar:
CLEF 2024 JOKER Task 2: Using BERT and Random Forest Classifier for Humor Classification According to Genre and Technique. 1902-1908 - Emma Schuurman, Mick Cazemier, Luc Buijs, Jaap Kamps:
University of Amsterdam at the CLEF 2024 Joker Track. 1909-1922 - Rakshith Subramanian, Vaishnavi S, B. Bharathi:
Team Humour Insights at JOKER 2024 Task 2: Humour Classification According To Genre And Technique. 1923-1932 - Shih-Hung Wu, Yu-Feng Huang, Tsz-Yeung Lau:
Humour Classification by Fine-tuning LLMs: CYUT at CLEF 2024 JOKER Lab Subtask Humour Classification According to Genre and Technique. 1933-1947
LifeCLEF: species identification and prediction
- Stefan Kahl, Tom Denton, Holger Klinck, Vijay Ramesh, Viral Joshi, Meghana Srivathsa, Akshay Anand, Chiti Arvind, Harikrishnan Cp, Suyash Sawant, Robin Vv, Hervé Glotin, Hervé Goëau, Willem-Pier Vellinga, Robert Planqué, Alexis Joly:
Overview of BirdCLEF 2024: Acoustic identification of under-studied bird species in the Western Ghats. 1948-1957 - Lukás Picek, Milan Sulc, Jirí Matas:
Overview of FungiCLEF 2024: Revisiting Fungi Species Recognition Beyond 0-1 Cost. 1958-1965 - Lukás Picek, Christophe Botella, Maximilien Servajean, César Leblanc, Rémi Palard, Théo Larcher, Benjamin Deneu, Diego Marcos, Joaquim Estopinan, Pierre Bonnet, Alexis Joly:
Overview of GeoLifeCLEF 2024: Species Composition Prediction with High Spatial Resolution at Continental Scale using Remote Sensing. 1966-1977 - Hervé Goëau, Vincent Espitalier, Pierre Bonnet, Alexis Joly:
Overview of PlantCLEF 2024: Multi-species Plant Identification in Vegetation Plot Images. 1978-1988 - Lukás Picek, Marek Hrúz, Andrew M. Durso:
Overview of SnakeCLEF 2024: Revisiting Snake Species Identification in Medically Important Scenarios. 1989-2000 - Yi-Chia Chen, Tai Peng, Wei-Hua Li, Chu-Song Chen:
Combining Present-Only and Present-Absent Data with Pseudo-Label Generation for Species Distribution Modeling. 2001-2008 - Zehua Cheng, Wei Dai, Jiahao Sun:
Multi-modal Feature Fusion Networks for GeoLifeCLEF 2024. 2009-2015 - Christopher Chiu, Maximilian Heil, Teresa Kim, Anthony Miyaguchi:
Fine-Grained Classification for Poisonous Fungi Identification with Transfer Learning. 2016-2026 - Sophia Chulif, Hamza Ahmed Ishrat, Yang Loong Chang, Sue Han Lee:
Patch-wise Inference using Pre-trained Vision Transformers: NEUON Submission to PlantCLEF 2024. 2027-2043 - Konstantin Dmitriev:
Methods for Training Convolutional Neural Networks to Identify Bird Species in Complex Soundscape Recordings. 2044-2052 - Jack N. Etheredge:
Generalizable Training Techniques for Fine-Grained Long-Tailed Image Recognition: Transferring Methods Optimized for FungiCLEF 2024 to SnakeCLEF 2024. 2053-2065 - Jack N. Etheredge:
OpenWGAN-GP for Fine-Grained Open-Set Fungi Classification. 2066-2082 - Stephen Foy, Simon McLoughlin:
Utilising DINOv2 for Domain Adaptation in Vegetation Plot Analysis. 2083-2092 - Murilo Gustineli, Anthony Miyaguchi, Ian Stalter:
Multi-Label Plant Species Classification with Self-Supervised Vision Transformers. 2093-2102 - Lihang Hong:
Domain Adaption for Birdcall Recognition: Progressive Knowledge Distillation with Semi-Supervised and Self-Supervised Soundscape Labeling. 2103-2109 - Mario Lasseck:
Improving Bird Recognition using Pseudo-Labeled Recordings from the Target Location. 2110-2118 - Haixu Liu, Penghao Jiang, Zerui Tao, Muyan Wan, Qiuzhuang Sun:
Tighnari: Multi-modal Plant Species Prediction Based on Hierarchical Cross-Attention Using Graph-Based and Vision Backbone-Extracted Features. 2119-2143 - Anthony Miyaguchi, Patcharapong Aphiwetsa, Mark McDuffie:
Tile Compression and Embeddings for Multi-Label Classification in GeoLifeCLEF 2024. 2144-2157 - Anthony Miyaguchi, Adrian Cheung, Murilo Gustineli, Ashley Kim:
Transfer Learning with Pseudo Multi-Label Birdcall Classification for DS@GT BirdCLEF 2024. 2158-2169 - Anthony Miyaguchi, Murilo Gustineli, Austin Fischer, Ryan Lundqvist:
Transfer Learning with Self-Supervised Vision Transformers for Snake Identification. 2170-2177 - Aaditya Porwal:
Bird-Species Audio Identification, Ensembling of EfficientNet-B0 and Pre-trained EfficientNet-B1 model. 2178-2187 - Darren Rawlings, Tim Chopard:
Exploring Biodiversity: A Multi-Model Approach to Multi-Label Plant Species Prediction. 2188-2200 - Arunodhayan Sampath Kumar, Tobias Schlosser, Danny Kowerko:
TUC Media Computing at BirdCLEF 2024: Improving Birdsong Classification Through Single Learning Models. 2201-2208 - Matej Sieber, Tomas Zelezný:
Do Not Lose to Losses for SnakeCLEF2024. 2209-2214 - Aman R. Syayfetdinov:
Multimodal networks for Species Distribution Modeling. 2215-2222 - Bao-Feng Tan, Yang-Yang Li, Peng Wang, Lin Zhao, Xiu-Shen Wei:
Say No to the Poisonous Fungi: An Effective Strategy for Reducing 0-1 Cost in FungiCLEF2024. 2223-2233 - Peng Wang, Yangyang Li, Bao-Feng Tan, Yi-Chao Zhou, Yong Li, Xiu-Shen Wei:
Multibranch Co-training to Mine Venomous Feature Representation: A Solution to SnakeCLEF2024. 2234-2243 - Emiel Witting, Hugo de Heer, Jeffrey Lim, Cahit Tolga Kopar, Kristóf Sándor:
Addressing the Challenges of Domain Shift in Bird Call Classification for BirdCLEF 2024. 2244-2259 - Stefan Wolf, Philipp Thelen, Jürgen Beyerer:
Poison-Aware Open-Set Fungi Classification: Reducing the Risk of Poisonous Confusion. 2260-2266
LongEval: Longitudinal Evaluation of Model Performance
- Rabab Alkhalifa, Hsuvas Borkakoty, Romain Deveaud, Alaa El-Ebshihy, Luis Espinosa Anke, Tobias Fink, Petra Galuscáková, Gabriela González Sáez, Lorraine Goeuriot, David Iommi, Maria Liakata, Harish Tayyar Madabushi, Pablo Medina-Alias, Philippe Mulhem, Florina Piroi, Martin Popel, Arkaitz Zubiaga:
Extended Overview of the CLEF 2024 LongEval Lab on Longitudinal Evaluation of Model Performance. 2267-2289 - Kimia Abedini, Arwa Fahoud, Akan Akysh, Nicola Ferro:
SEUPD@CLEF: Team Kalu on improving Search Engine Performance with Query Expansion and Re-Ranking Approach. 2290-2303 - Daria Alexander, Maik Fröbe, Gijs Hendriksen, Ferdinand Schlatt, Matthias Hagen, Djoerd Hiemstra, Martin Potthast, Arjen P. de Vries:
Team OpenWebSearch at CLEF 2024: LongEval. 2304-2313 - Alberto Basaglia, Andrea Stocco, Milica Popovic, Nicola Ferro:
SEUPD@CLEF: Team DAM on Reranking Using Sentence Embedders. 2314-2335 - Lorenzo Cazzador, Francesco Luigi De Faveri, Filippo Franceschini, Lorenzo Pamio, Samuel Piron, Nicola Ferro:
SEUPD@CLEF: Team MOUSE on Enhancing Search Engines Effectiveness with Large Language Models. 2336-2355 - Filippo Galli, Manuel Rigobello, Michela Schibuola, Riccardo Zuech, Nicola Ferro:
SEUPD@CLEF: Team IRIS on Temporal Evolution of Query Expansion and Rank Fusion Techniques Applied to Cross-Encoder Re-Rankers. 2356-2383 - Marlene Gründel, Malte Weber, Johannes Franke, Jan Heinrich Merker:
Team Galápagos Tortoise at LongEval 2024: Neural Re-Ranking and Rank Fusion for Temporal Stability. 2384-2395 - Jüri Keller, Timo Breuer, Philipp Schaer:
Leveraging Prior Relevance Signals in Web Search. 2396-2406 - Soyoung Yoon, Jongyoon Kim, Seung-won Hwang:
Analyzing the Effectiveness of Listwise Reranking with Positional Invariance on Temporal Generalizability. 2407-2423
PAN: Lab on Stylometry and Digital Text Forensics
- Eva Zangerle, Maximilian Mayerl, Martin Potthast, Benno Stein:
Overview of the Multi-Author Writing Style Analysis Task at PAN 2024. 2424-2431 - Daryna Dementieva, Daniil Moskovskiy, Nikolay Babakov, Abinew Ali Ayele, Naquee Rizwan, Florian Schneider, Xintong Wang, Seid Muhie Yimam, Dmitry Ustalov, Elisei Stakovskii, Alisa Smirnova, Ashraf Elnagar, Animesh Mukherjee, Alexander Panchenko:
Overview of the Multilingual Text Detoxification Task at PAN 2024. 2432-2461 - Damir Korencic, Berta Chulvi, Xavier Bonet Casals, Mariona Taulé, Paolo Rosso, Francisco Rangel:
Overview of the Oppositional Thinking Analysis PAN Task at CLEF 2024. 2462-2485 - Janek Bevendorff, Matti Wiegmann, Jussi Karlgren, Luise Dürlich, Evangelia Gogoulou, Aarne Talman, Efstathios Stamatatos, Martin Potthast, Benno Stein:
Overview of the "Voight-Kampff" Generative AI Authorship Verification Task at PAN and ELOQUENT 2024. 2486-2506 - Harika Abburi, Nirmala Pudota, Balaji Veeramani, Edward Bowen, Sanmitra Bhattacharya:
Team Deloitte at PAN: A Novel Approach for Generative AI Text Detection. 2507-2510 - Aish Albladi, Cheryl Seals:
Detection of Conspiracy vs. Critical Narratives and Their Elements using NLP. 2511-2520 - Prabavathy Balasundaram, Karthikeyan Swaminathan, Oviasree Sampath, Pradeep Km:
Oppositional Thinking Analysis: Conspiracy Theories vs Critical Thinking Narratives. 2521-2526 - Galina Boeva, German Gritsai, Andrey Grabovoy:
Team ap-team at PAN: LLM Adapters for Various Datasets. 2527-2535 - Haojie Cao, Zhongyuan Han, Jingyan Ye, Biao Liu, Yong Han:
Enhancing Human-Machine Authorship Discrimination in Generative AI Verification Task with BERT and Augmented Data. 2536-2540 - Jitong Chen, Leilei Kong:
Integrating Dual BERT Models and Causal Language Models for Enhanced Detection of Machine-Generated Texts. 2541-2546 - Zhaotian Chen, Yong Han, Yusheng Yi:
Team Chen at PAN: Integrating R-Drop and Pre-trained Language Model for Multi-author Writing Style Analysis. 2547-2553 - Sergio Damián, Brian Herrera, David Vázquez, Hiram Calvo, Edgardo Manuel Felipe Riverón, Cornelio Yáñez-Márquez:
DSVS at PAN 2024: Ensemble Approach of Transformer-based Language Models for Analyzing Conspiracy Theories Against Critical Thinking Narratives. 2554-2565 - Iñaki del Campo Sánchez-Hermosilla, Ángel Panizo-LLedot, David Camacho:
A Study on NLP Model Ensembles and Data Augmentation Techniques for Separating Critical Thinking from Conspiracy Theories in English Texts. 2566-2571 - Daniel Yacob Espinosa, Grigori Sidorov, Eusebio Ricárdez Vázquez:
Automatic Identification of Conspiracy Theories Using BERT. 2572-2575 - Susmita Gangopadhyay, M. Taimoor Khan, Hajira Jabeen:
Linguistic_Hygenist at PAN 2024 TextDetox: HybridDetox - A Combination of Supervised and Unsupervised Methods for Effective Multilingual Text Detoxification. 2576-2584 - Linjiu Guo, Wenyin Yang, Li Ma, Jinli Ruan:
BLGAV：Generative AI Author Verification Model Based on BERT and BiLSTM. 2585-2592 - Mingcan Guo, Zhongyuan Han, Haoyang Chen, Jiangao Peng:
A Machine-Generated Text Detection Model Based on Text Multi-Feature Fusion. 2593-2602 - Juan Gómez-Romero, Santiago González-Silot, Andrés Montoro-Montarroso, Miguel Molina-Solana, Eugenio Martínez Cámara:
Detection of conspiracy-related messages in Telegram with anonymized named entities. 2603-2612 - Qingbiao Hu, Zhongyuan Han, Jiangao Peng, Mingcan Guo, Chang Liu:
An Oppositional Thinking Analysis Method Using BERT-based Model with BiGRU. 2613-2618 - Baijian Huang, Changle Zhong, Kai Yan, Yong Han:
Author Authentication of Generative AI Based on Bert by Regularization Method. 2619-2626 - Jiahong Huang, Zhongyuan Han, Ruihao Zhu, Mingcan Guo, Kaiyin Sun:
Conspiracy Theory Text Classification Based on CT-BERT and BETO Models. 2627-2631 - Jijie Huang, Yang Chen, Man Luo, Yonglan Li:
Generative AI Authorship Verification Of Tri-Sentence Analysis Base On The Bert Model. 2632-2637 - Kaicheng Huang, Haoliang Qi, Kai Yan:
Generative AI Authorship Verification Based on Contrastive Learning and Domain Adaptation. 2638-2644 - Weihang Huang, Jack Grieve:
Authorial Language Models For AI Authorship Verification. 2645-2652 - Yingzhou Huang, Leilei Kong:
Team Text Understanding and Analysis at PAN: Utilizing BERT Series Pre-training Model for Multi-Author Writing Style Analysis. 2653-2657 - Zhijian Huang, Leilei Kong:
DeBERTa-v3 with R-Drop regularization for Multi-Author Writing Style Analysis. 2658-2664 - Álvaro Huertas-García, Carlos Martí-González, Javier Muñoz, Enrique De Miguel Ambite:
Small Language Models and Large Language Models in Oppositional thinking analysis: Capabilities, Biases and Challenges. 2665-2675 - Mohammad Karami Sheykhlan, Saleh Kheiri Abdoljabbar, Mona Nouri Mahmoudabad:
Team karami-sh at PAN: Transformer-based Ensemble Learning for Multi-Author Writing Style Analysis. 2676-2681 - Mohammad Karami Sheykhlan, Saleh Kheiri Abdoljabbar, Mona Nouri Mahmoudabad:
Team karami-kheiri at PAN: Enhancing Machine-Generated Text Detection with Ensemble Learning Based on Transformer Models. 2682-2687 - Areeb Adnan Khan, Mohit Rai, Khuzaima Ali Khan, Syed Jahania Shah, Faisal Alvi, Abdul Samad:
Team Gladiators at PAN: Improving Author Identification: A Comparative Analysis of Pre-Trained Transformers for Multi-Author Classification. 2688-2694 - Ewelina Ksiezniak, Krzysztof Wecel, Marcin Sawinski:
Team OpenFact at PAN 2024: Fine-Tuning BERT Models with Stylometric Enhancements. 2695-2703 - Haotian Lei, Xiangyu Liu, Guo Niu, Yan Zhou, Yuexia Zhou:
Generative AI Authorship Verification based on ChatGLM. 2704-2709 - Xiaofeng Liang, Fanzhi Zeng, Yan Zhou, Xiangyu Liu, Yuexia Zhou:
Fine-Tuned Reasoning for Writing Style Analysis. 2710-2715 - Tzu-Mi Lin, Yu-Hsin Wu, Lung-Hao Lee:
NYCU-NLP at PAN 2024: Integrating Transformers with Similarity Adjustments for Multi-Author Writing Style Analysis. 2716-2721 - Zhaojian Lin, Fanzhi Zeng, Yan Zhou, Xiangyu Liu, Yuexia Zhou:
Voight-Kampff Generative AI Authorship Verification Based on T5. 2722-2727 - Zijie Lin, Zhongyuan Han, Leilei Kong, Miaoling Chen, Shuyi Zhang, Jiangao Peng, Kaiyin Sun:
A Verifying Generative Text Authorship Model With Regularized Dropout. 2728-2734 - Biao Liu, Zhongyuan Han, Haojie Cao:
Team nlpln at PAN 2024: An Approach to Classifying Conspiratorial and Critical Public Health Narratives With Zero-shot and Sequence Labeling. 2735-2743 - Chang Liu, Zhongyuan Han, Haoyang Chen, Qingbiao Hu:
Team Liuc0757 at PAN: A Writing Style Embedding Method Based on Contrastive Learning for Multi-Author Writing Style Analysis. 2744-2749 - Xurong Liu, Hui Chen, Jiajun Lv:
Team foshan-university-of-guangdong at PAN: Adaptive Entropy-Based Stability-Plasticity for Multi-Author Writing Style Analysis. 2750-2754 - Xurong Liu, Leilei Kong:
AI Text Detection Method Based on Perplexity Features with Strided Sliding Window. 2755-2760 - Ludwig Lorenz, Funda Zeynep Aygüler, Ferdinand Schlatt, Nailia Mirzakhmedova:
BaselineAvengers at PAN 2024: Often-Forgotten Baselines for LLM-Generated Text Detection. 2761-2768 - Zhongyu Luo, Man Luo, Aiguo Wang:
Multilingual Text Detoxification Using Google Cloud Translation and Post-Processing. 2769-2774 - Jiajun Lv, Yong Han, Leilei Kong:
Meta-Contrastive Learning for Generative AI Authorship Verification. 2775-2780 - Jiajun Lv, Yusheng Yi, Haoliang Qi:
Team fosu-stu at PAN: Supervised Fine-Tuning of Large Language Models for Multi Author Writing Style Analysis. 2781-2786 - Sidharth Mahesh, Sonith Divakaran, Kavya Girish, Hosahalli Lakshmaiah Shashirekha:
Binary Battle: Leveraging Machine Learning and Transfer Learning Models to Distinguish between Conspiracy Theories and Critical Thinking. 2787-2796 - Shrirang Mhalgi, Srikar Kashyap Pulipaka, Sandra Kübler:
IUCL at PAN 2024: Using Data Augmentation for Conspiracy Theory Detection. 2797-2806 - Pablo Miralles, Alejandro Martín, David Camacho:
Team aida at PAN: Ensembling Normalized Log Probabilities. 2807-2813 - Maryam Najafi, Ehsan Tavan, Simon Colreavy:
Marsan at PAN 2024 TextDetox: ToxiCleanse RL, Paving the Way for Toxicity-Free Online Discourse. 2814-2823 - Benjamin Ostrower, Jacob Wessell, Abhinav Bindal:
AI Authorship Verification: An Ensembled Approach. 2824-2828 - Jiangao Peng, Zhongyuan Han, Huan Zhang, Jingyan Ye, Chang Liu, Biao Liu, Mingcan Guo, Haoyang Chen, Zijie Lin, Yujiao Tang:
A Multilingual Text Detoxification Method Based on Few-shot Learning and CO-STAR Framework. 2829-2837 - Panagiotis Petropoulos, Vasilis Petropoulos:
RoBERTa and Bi-LSTM for Human vs AI Generated Text Detection. 2838-2842 - Sergey Pletenev:
SomethingAwful at PAN 2024 TextDetox: Uncensored Llama 3 Helps to Censor Better. 2843-2851 - Vitaly Protasov:
PAN 2024 Multilingual TextDetox: Exploring Cross-lingual Transfer Using Large Language Models. 2852-2857 - Rui Qin, Haoliang Qi, Yusheng Yi:
A Model Fusion Approach for Generative AI Authorship Verification. 2858-2865 - Elisei Rykov, Konstantin Zaytsev, Ivan Anisimov, Alexandr Voronin:
SmurfCat at PAN 2024 TextDetox: Alignment of Multilingual Transformers for Text Detoxification. 2866-2871 - Ariana Sahitaj, Premtim Sahitaj, Salar Mohtaj, Sebastian Möller, Vera Schmitt:
Towards a Computational Framework for Distinguishing Critical and Conspiratorial Texts by Elaborating on the Context and Argumentation with LLMs. 2872-2880 - Riya Sanjesh, Alamelu Mangai:
Team riyahsanjesh at PAN: Multi-feature with CNN and Bi-LSTM Neural Network Approach to Style Change Detection. 2881-2885 - Guihong Sun, Wenyin Yang, Li Ma:
BCAV: A Generative AI Author Verification Model Based on the Integration of Bert and CNN. 2886-2891 - Nikita Sushko:
PAN 2024 Multilingual TextDetox: Exploring Different Regimes For Synthetic Data Training For Multilingual Text Detoxification. 2892-2900 - Ehsan Tavan, Maryam Najafi:
MarSan at PAN: BinocularsLLM, Fusing Binoculars' Insight with the Proficiency of Large Language Models for Machine-Generated Text Detection. 2901-2912 - Angelo Maximilian Tulbure, Mariona Coll Ardanuy:
Conspiracy vs Critical Thinking Using an Ensemble of Transformers with Data Augmentation Techniques. 2913-2922 - Andric Valdez-Valenzuela, Helena Gómez-Adorno:
Team iimasnlp at PAN: Leveraging Graph Neural Networks and Large Language Models for Generative AI Authorship Verification. 2923-2929 - María Estrella Vallecillo Rodríguez, María Teresa Martín-Valdivia, Arturo Montejo-Ráez:
SINAI at PAN 2024 Oppositional Thinking Analysis: Exploring the Fine-Tuning Performance of Large Language Models. 2930-2940 - María Estrella Vallecillo Rodríguez, Arturo Montejo-Ráez, María Teresa Martín-Valdivia:
SINAI at PAN 2024 TextDetox: Application of Chain of Thought with Self-Consistency Strategy in Large Language Models for Multilingual Text Detoxification. 2941-2950 - Bingpei Wu, Yong Han, Kai Yan, Haoliang Qi:
Team baker at PAN: Enhancing Writing Style Change Detection with Virtual Softmax. 2951-2955 - Guojun Wu, Qinghao Guan:
Team lm-detector at PAN: Can NLI be an Appropriate Approach to Machine-Generated Text Detection. 2956-2962 - Qida Wu, Leilei Kong, Zhanhong Ye:
Team bingezzzleep at PAN: A Writing Style Change Analysis Model Based on RoBERTa Encoding and Contrastive Learning for Multi-Author Writing Style Analysis. 2963-2968 - Zepeng Wu, Wenyin Yang, Li Ma, Zikai Zhao:
BertT: A Hybrid Neural Network Model for Generative AI Authorship Verification. 2969-2975 - Annepaka Yadagiri, Dimpal Kalita, Abhishek Ranjan, Ashish Kumar Bostan, Parthib Toppo, Partha Pakray:
Team cnlp-nits-pp at PAN: Leveraging BERT for Accurate Authorship Verification: A Novel Approach to Textual Attribution. 2976-2987 - Zhanhong Ye, Yutong Zhong, Chen Huang, Leilei Kong:
Continual Transfer Learning with Progress Prompt for Multi-Author Writing Style Analysis. 2988-2994 - Zhanhong Ye, Yutong Zhong, Zhen Huang, Leilei Kong:
Token Prediction as Implicit Classification for Generative AI Authorship Verification. 2995-3001 - Zhengqiao Zeng, Zhongyuan Han, Jingyan Ye, Yaozu Tan, Haojie Cao, Zengyao Li, Runjin Huang:
A Conspiracy Theory Text Detection Method based on RoBERTa and XLM-RoBERTa Models. 3002-3006 - Ye Zhu, Leilei Kong:
AI Authorship Verification Based On Deberta Model. 3007-3011 - Leon Zrnic:
Conspiracy Theory Detection using Transformers with Multi-task and Multilingual Approaches. 3012-3020 - Erik Rehulka, Marek Suppa:
RAG Meets Detox: Enhancing Text Detoxification Using Open Large Language Models with Retrieval Augmented Generation. 3021-3031
qCLEF: Quantum Computing at CLEF
- Andrea Pasin, Maurizio Ferrari Dacrema, Paolo Cremonesi, Nicola Ferro:
QuantumCLEF 2024: Overview of the Quantum Computing Challenge for Information Retrieval and Recommender Systems at CLEF. 3032-3053 - Tiago Almeida, Sérgio Matos:
Towards a Hyperparameter-Free QUBO Formulation for Feature Selection in IR. 3054-3063 - William Alvarez-Giron, Jorge Tellezz-Torres, Javier Tovar-Cortes, Helena Gómez-Adorno:
Team qIIMAS on Task 2 - Clustering. 3064-3074 - Maik Fröbe, Daria Alexander, Gijs Hendriksen, Ferdinand Schlatt, Matthias Hagen, Martin Potthast:
Team OpenWebSearch at CLEF 2024: QuantumCLEF. 3075-3081 - Gersome Shimi, Jerin Mahibha C, Durairaj Thenmozhi:
Quantum Feature Selection. 3082-3086 - Aylin Naebzadeh, Sauleh Eetemadi:
NICA at Quantum Computing CLEF Tasks 2024. 3087-3095 - Jiayang Niu, Jie Li, Ke Deng, Yongli Ren:
CRUISE on Quantum Computing for Feature Selection in Recommender Systems. 3096-3104 - Esteban Payares, Edwin Puertas, Juan Carlos Martínez Santos:
Team QTB on Feature Selection Via Quantum Annealing and Hybrid Models. 3105-3114
SimpleText Lab: Improving Access to Scientific Texts for Everyone
- Eric SanJuan, Stéphane Huet, Jaap Kamps, Liana Ermakova:
Overview of the CLEF 2024 SimpleText Task 1: Retrieve Passages to Include in a Simplified Summary. 3115-3128 - Giorgio Maria Di Nunzio, Federica Vezzani, Vanessa Bonato, Hosein Azarbonyad, Jaap Kamps, Liana Ermakova:
Overview of the CLEF 2024 SimpleText Task 2: Identify and Explain Difficult Concepts. 3129-3146 - Liana Ermakova, Valentin Laimé, Helen McCombie, Jaap Kamps:
Overview of the CLEF 2024 SimpleText Task 3: Simplify Scientific Text. 3147-3162 - Jennifer D'Souza, Salomon Kabongo, Hamed Babaei Giglou, Yue Zhang:
Overview of the CLEF 2024 SimpleText Task 4: SOTA? Tracking the State-of-the-Art in Scholarly Publications. 3163-3173 - Syed Muhammad Ali, Hammad Sajid, Owais Aijaz, Owais Waheed, Faisal Alvi, Abdul Samad:
Team Sharingans at SimpleText: Fine-tuned LLM based approach to Scientific Text Simplification. 3174-3181 - Jan Bakker, Göksenin Yüksel, Jaap Kamps:
University of Amsterdam at the CLEF 2024 SimpleText Track. 3182-3194 - Antonia Bartulovic, Dóra Paula Váradi:
University of Split and University of Malta (Team AB&DPV) at the CLEF 2024 SimpleText Track: Scientific Text Made Simpler Through the Use of Artificial Intelligence. 3195-3205 - Artemis Çapari, Hosein Azarbonyad, Zubair Afzal, Georgios Tsatsaronis:
Enhancing Scientific Document Simplification through Adaptive Retrieval and Generative Models. 3206-3229 - Giorgio Maria Di Nunzio, Elena Gallina, Federica Vezzani:
UNIPD@SimpleText2024: A Semi-Manual Approach on Prompting ChatGPT for Extracting Terms and Write Terminological Definitions. 3230-3237 - Regina Elagina, Petra Vucic:
AI Contributions to Simplifying Scientific Discourse in SimpleText 2024. 3238-3245 - Salomon Kabongo, Jennifer D'Souza, Sören Auer:
Exploring the Latest LLMs for Leaderboard Extraction. 3246-3260 - Nicholas Largey, Reihaneh Maarefdoust, Shea Durgin, Behrooz Mansouri:
AIIR Lab Systems for CLEF 2024 SimpleText: Large Language Models for Text Simplification. 3261-3273 - Rowan Mann, Tomislav Mikulandric:
CLEF 2024 SimpleText Tasks 1-3: Use of Llama-2 for Text Simplification. 3274-3283 - Andrianos Michail, Pascal Severin Andermatt, Tobias Fankhauser:
UZH Pandas at SimpleText2024: Multi-Prompt Minimum Bayes Risk with Diverse Prompts. 3284-3287 - Jenny Ortiz-Zambrano, César Espin-Riofrio, Arturo Montejo-Ráez:
SINAI Participation in SimpleText Task 2 at CLEF 2024: Zero-shot Prompting on GPT-4-Turbo for Lexical Complexity Prediction. 3288-3299 - Moritz Staudinger, Alaa El-Ebshihy, Annisa Maulida Ningtyas, Florina Piroi, Allan Hanbury:
AMATU@Simpletext2024: Are LLMs Any Good for Scientific Leaderboard Extraction? 3300-3316 - Benjamin Vendeville, Liana Ermakova, Pierre De Loor:
UBO NLP Report on the SimpleText track at CLEF 2024. 3317-3340
Touché: Argumentation Systems
- Johannes Kiesel, Çagri Çöltekin, Maximilian Heinrich, Maik Fröbe, Milad Alshomary, Bertrand De Longueville, Tomaz Erjavec, Nicolas Handke, Matyás Kopp, Nikola Ljubesic, Katja Meden, Nailia Mirzakhmedova, Vaidas Morkevicius, Theresa Reitis-Münstermann, Mario Scharfbillig, Nicolas Stefanovitch, Henning Wachsmuth, Martin Potthast, Benno Stein:
Overview of Touché 2024: Argumentation Systems. 3341-3366 - Maud Andruszak, Alaa Alhamzeh, Elöd Egyed-Zsigmond, Anton Carlsson, Johan Leydet, Yasser Otiefy:
Team INSA Passau at Touché: Multi-lingual Parliamentary Speech Classification. 3367-3378 - Aisha Nur Aydin, Shaden Shaar, Claire Cardie:
Edward Said at Touché: Human Value Detection Using Transformers and Upsampling. 3379-3383 - Christian Gerber:
gerber at Touché: Ideology and Power Identification in Parliamentary Debates 2024. 3384-3392 - Janani Hariharakrishnan, Jithu Morrison S, Palaniappan Mirunalini:
Pixel Phantoms at Touché: Ideology and Power Identification in Parliamentary Debates using Linear SVC. 3393-3400 - Tamás Janusko, Aaron Kämpf, Denis Keiling, Jessica Knick, David Schäfer, Maik Thiele:
HTW-DIL at Touché: Multimodal Dense Information Retrieval for Arguments. 3401-3406 - Praveen K, Darshan R. K, Chinta Tejdeep Reddy, Anand Kumar M:
SCaLAR NITK at Touché: Comparative Analysis of Machine Learning Models for Human Value Identification. 3407-3413 - Adnan Khurshid, Dipankar Das, Rajdeep Khaskel, Suchanda Datta:
JU_NLP_DID at Touché: An Attempt to Identify Aspects of Power from Parliamentary Debates. 3414-3418 - Sotirios Legkas, Christina Christodoulou, Matthaios Zidianakis, Dimitrios Koutrintzes, Maria Dagioglou, Georgios Petasis:
Hierocles of Alexandria at Touché: Multi-task & Multi-head Custom Architecture with Transformer-based Models for Human Value Detection. 3419-3432 - Ranjan Mishra, Meike Morren:
Eric Fromm at Touché: Prompts vs FineTuning for Human Value Detection. 3433-3446 - Benjamin Ostrower, Patcharapong Aphiwetsa:
DS@GT at Touché: Image Search and Ranking via CLIP and Image Generation. 3447-3450 - Oscar Palmqvist, Johan Jiremalm, Pablo Picazo-Sanchez:
Policy Parsing Panthers at Touché: Ideology and Power Identification in Parliamentary Debates. 3451-3477 - Deepak Chandar S, Diya Seshan, Avaneesh Koushik, Palaniappan Mirunalini:
Trojan Horses at Touché: Logistic Regression for Classification of Political Debates. 3478-3482 - Lakshmi Priya S, Dhannya S. M, S. Shwetha, Surabhi Kamath, Shreedevi Seluka Balaji, Sai Nikitha N. S. R, Srinidhi Lakshmi Narayanan:
Vayam Solve Kurmaha at Touché: Power Identification in Parliamentary Speeches Using TF-IDF Vectorizer and SVM Classifier. 3483-3488 - Simhadri Sevitha, Mauli Mehulkumar Patel, Sowmya Kamath S.:
HALE Lab NITK at Touché 2024: A Hybrid Approach for Identifying Political Ideology and Power in Multilingual Parliamentary Speeches. 3489-3495 - Keerthick V, Kaushik Ananth Kumar S, Kathir Kaman A, Palaniappan Mirunalini, Sripriya N:
Ssnites at Touché: Ideology and Power Identification in Parliamentary Debates using BERT Mode. 3496-3502 - Víctor Yeste, Mariona Coll Ardanuy, Paolo Rosso:
Philo of Alexandria at Touché: A Cascade Model Approach to Human Value Detection. 3503-3508 - Hamza Yunis:
Arthur Schopenhauer at Touché 2024: Multi-Lingual Text Classification Using Ensembles of Large Language Models. 3509-3517
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