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ORCIDEMNLP 2024: Miami, FL, USA
- Yaser Al-Onaizan, Mohit Bansal, Yun-Nung Chen:
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, EMNLP 2024, Miami, FL, USA, November 12-16, 2024. Association for Computational Linguistics 2024, ISBN 979-8-89176-164-3 - Frontmatter.
- Juhwan Choi, Yeonghwa Kim, Seunguk Yu, Jungmin Yun, Youngbin Kim:
UniGen: Universal Domain Generalization for Sentiment Classification via Zero-shot Dataset Generation. 1-14 - Juhwan Choi, Jungmin Yun, Kyohoon Jin, Youngbin Kim:
Multi-News+: Cost-efficient Dataset Cleansing via LLM-based Data Annotation. 15-29 - Joonho Yang, Seunghyun Yoon, Byeongjeong Kim, Hwanhee Lee:
FIZZ: Factual Inconsistency Detection by Zoom-in Summary and Zoom-out Document. 30-45 - Rimon Melamed, Lucas H. McCabe, Tanay Wakhare, Yejin Kim, H. Howie Huang, Enric Boix-Adserà:
Prompts have evil twins. 46-74 - Vaishali Pal, Evangelos Kanoulas, Andrew Yates, Maarten de Rijke:
Table Question Answering for Low-resourced Indic Languages. 75-92 - Roopal Garg, Andrea Burns, Burcu Karagol Ayan, Yonatan Bitton, Ceslee Montgomery, Yasumasa Onoe, Andrew Bunner, Ranjay Krishna, Jason Baldridge, Radu Soricut:
ImageInWords: Unlocking Hyper-Detailed Image Descriptions. 93-127 - Yihuai Lan, Zhiqiang Hu, Lei Wang, Yang Wang, Deheng Ye, Peilin Zhao, Ee-Peng Lim, Hui Xiong, Hao Wang:
LLM-Based Agent Society Investigation: Collaboration and Confrontation in Avalon Gameplay. 128-145 - Xiangyu Zhang, Hexin Liu, Kaishuai Xu, Qiquan Zhang, Daijiao Liu, Beena Ahmed, Julien Epps:
When LLMs Meets Acoustic Landmarks: An Efficient Approach to Integrate Speech into Large Language Models for Depression Detection. 146-158 - Xiangyu Zhang, Daijiao Liu, Hexin Liu, Qiquan Zhang, Hanyu Meng, Leibny Paola García-Perera, EngSiong Chng, Lina Yao:
Speaking in Wavelet Domain: A Simple and Efficient Approach to Speed up Speech Diffusion Model. 159-171 - Sanne Hoeken, Sina Zarrieß, Özge Alaçam:
Hateful Word in Context Classification. 172-186 - Özge Alaçam, Sanne Hoeken, Sina Zarrieß:
Eyes Don't Lie: Subjective Hate Annotation and Detection with Gaze. 187-205 - Eli Schwartz, Leshem Choshen, Joseph Shtok, Sivan Doveh, Leonid Karlinsky, Assaf Arbelle:
NumeroLogic: Number Encoding for Enhanced LLMs' Numerical Reasoning. 206-212 - Shaz Furniturewala, Surgan Jandial, Abhinav Java, Pragyan Banerjee, Simra Shahid, Sumit Bhatia, Kokil Jaidka:
"Thinking" Fair and Slow: On the Efficacy of Structured Prompts for Debiasing Language Models. 213-227 - Wendi Zhou, Tianyi Li, Pavlos Vougiouklis, Mark Steedman, Jeff Z. Pan:
A Usage-centric Take on Intent Understanding in E-Commerce. 228-236 - Oded Ovadia, Menachem Brief, Moshik Mishaeli, Oren Elisha:
Fine-Tuning or Retrieval? Comparing Knowledge Injection in LLMs. 237-250 - Amir Taubenfeld, Yaniv Dover, Roi Reichart, Ariel Goldstein:
Systematic Biases in LLM Simulations of Debates. 251-267 - Katherine Atwell, Danielle Bragg, Malihe Alikhani:
Studying and Mitigating Biases in Sign Language Understanding Models. 268-283 - Xinmeng Huang, Shuo Li, Mengxin Yu, Matteo Sesia, Hamed Hassani, Insup Lee, Osbert Bastani, Edgar Dobriban:
Uncertainty in Language Models: Assessment through Rank-Calibration. 284-312 - Junjie Ye, Yilong Wu, Songyang Gao, Caishuang Huang, Sixian Li, Guanyu Li, Xiaoran Fan, Qi Zhang, Tao Gui, Xuanjing Huang:
RoTBench: A Multi-Level Benchmark for Evaluating the Robustness of Large Language Models in Tool Learning. 313-333 - Fangkai Jiao, Chengwei Qin, Zhengyuan Liu, Nancy Chen, Shafiq Joty:
Learning Planning-based Reasoning by Trajectories Collection and Process Reward Synthesizing. 334-350 - Santiago Cuervo, Ricard Marxer:
Scaling Properties of Speech Language Models. 351-361 - Rajkumar Pujari, Chengfei Wu, Dan Goldwasser:
"We Demand Justice!": Towards Social Context Grounding of Political Texts. 362-372 - Rabindra Nath Nandi, Suman Kalyan Maity, Brian Uzzi, Sourav Medya:
An Experimental Analysis on Evaluating Patent Citations. 373-387 - Dawei Zhu, Pinzhen Chen, Miaoran Zhang, Barry Haddow, Xiaoyu Shen, Dietrich Klakow:
Fine-Tuning Large Language Models to Translate: Will a Touch of Noisy Data in Misaligned Languages Suffice? 388-409 - Le Yan, Zhen Qin, Honglei Zhuang, Rolf Jagerman, Xuanhui Wang, Michael Bendersky, Harrie Oosterhuis:
Consolidating Ranking and Relevance Predictions of Large Language Models through Post-Processing. 410-423 - Tong Zhang, Chen Huang, Yang Deng, Hongru Liang, Jia Liu, Zujie Wen, Wenqiang Lei, Tat-Seng Chua:
Strength Lies in Differences! Improving Strategy Planning for Non-collaborative Dialogues via Diversified User Simulation. 424-444 - Saiful Islam Salim, Rubin Yuchan Yang, Alexander Cooper, Suryashree Ray, Saumya Debray, Sazzadur Rahaman:
Impeding LLM-assisted Cheating in Introductory Programming Assignments via Adversarial Perturbation. 445-463 - Yuan Ge, Yilun Liu, Chi Hu, Weibin Meng, Shimin Tao, Xiaofeng Zhao, Mahong Xia, Zhang Li, Boxing Chen, Hao Yang, Bei Li, Tong Xiao, JingBo Zhu:
Clustering and Ranking: Diversity-preserved Instruction Selection through Expert-aligned Quality Estimation. 464-478 - Abhilasha Sancheti, Haozhe An, Rachel Rudinger:
On the Influence of Gender and Race in Romantic Relationship Prediction from Large Language Models. 479-494 - Maureen de Seyssel, Antony D'Avirro, Adina Williams, Emmanuel Dupoux:
EmphAssess : a Prosodic Benchmark on Assessing Emphasis Transfer in Speech-to-Speech Models. 495-507 - Xiaoxiao Ma, Yuchen Zhang, Kaize Ding, Jian Yang, Jia Wu, Hao Fan:
On Fake News Detection with LLM Enhanced Semantics Mining. 508-521 - Branislav Pecher, Ivan Srba, Mária Bieliková:
On Sensitivity of Learning with Limited Labelled Data to the Effects of Randomness: Impact of Interactions and Systematic Choices. 522-556 - Zekun Li, Baolin Peng, Pengcheng He, Xifeng Yan:
Evaluating the Instruction-Following Robustness of Large Language Models to Prompt Injection. 557-568 - Valentin Barrière, Sebastian Cifuentes:
A Study of Nationality Bias in Names and Perplexity using Off-the-Shelf Affect-related Tweet Classifiers. 569-579 - Yong Lin, Hangyu Lin, Wei Xiong, Shizhe Diao, Jianmeng Liu, Jipeng Zhang, Rui Pan, Haoxiang Wang, Wenbin Hu, Hanning Zhang, Hanze Dong, Renjie Pi, Han Zhao, Nan Jiang, Heng Ji, Yuan Yao, Tong Zhang:
Mitigating the Alignment Tax of RLHF. 580-606 - Meng Li, Haoran Jin, Ruixuan Huang, Zhihao Xu, Defu Lian, Zijia Lin, Di Zhang, Xiting Wang:
Evaluating Readability and Faithfulness of Concept-based Explanations. 607-625 - Zhengyuan Liu, Stella Xin Yin, Geyu Lin, Nancy Chen:
Personality-aware Student Simulation for Conversational Intelligent Tutoring Systems. 626-642 - Dayuan Fu, Biqing Qi, Yihuai Gao, Che Jiang, Guanting Dong, Bowen Zhou:
MSI-Agent: Incorporating Multi-Scale Insight into Embodied Agents for Superior Planning and Decision-Making. 643-659 - Min-Hsuan Yeh, Ruyuan Wan, Ting-Hao Huang:
CoCoLoFa: A Dataset of News Comments with Common Logical Fallacies Written by LLM-Assisted Crowds. 660-677 - Craig W. Schmidt, Varshini Reddy, Haoran Zhang, Alec Alameddine, Omri Uzan, Yuval Pinter, Chris Tanner:
Tokenization Is More Than Compression. 678-702 - Ninareh Mehrabi, Palash Goyal, Christophe Dupuy, Qian Hu, Shalini Ghosh, Richard S. Zemel, Kai-Wei Chang, Aram Galstyan, Rahul Gupta:
FLIRT: Feedback Loop In-context Red Teaming. 703-718 - Lingjun Zhao, Khanh Nguyen, Hal Daumé III:
Successfully Guiding Humans with Imperfect Instructions by Highlighting Potential Errors and Suggesting Corrections. 719-736 - Haoyuan Wu, Haisheng Zheng, Zhuolun He, Bei Yu:
Parameter-Efficient Sparsity Crafting from Dense to Mixture-of-Experts for Instruction Tuning on General Tasks. 737-749 - Shihao Cai, Keqin Bao, Hangyu Guo, Jizhi Zhang, Jun Song, Bo Zheng:
GeoGPT4V: Towards Geometric Multi-modal Large Language Models with Geometric Image Generation. 750-766 - Thong Nguyen, Shubham Chatterjee, Sean MacAvaney, Iain Mackie, Jeff Dalton, Andrew Yates:
DyVo: Dynamic Vocabularies for Learned Sparse Retrieval with Entities. 767-783 - Zihan Wang, Deli Chen, Damai Dai, Runxin Xu, Zhuoshu Li, Yu Wu:
Let the Expert Stick to His Last: Expert-Specialized Fine-Tuning for Sparse Architectural Large Language Models. 784-801 - Dawei Zhu, Liang Wang, Nan Yang, Yifan Song, Wenhao Wu, Furu Wei, Sujian Li:
LongEmbed: Extending Embedding Models for Long Context Retrieval. 802-816 - Xiangyang Liu, Junliang He, Xipeng Qiu:
Making Large Language Models Better Reasoners with Orchestrated Streaming Experiences. 817-838 - Xianlong Luo, Meng Yang, Yihao Wang:
Overcome Noise and Bias: Segmentation-Aided Multi-Granularity Denoising and Debiasing for Enhanced Quarduples Extraction in Dialogue. 839-856 - Dongjun Lim, Yun-Gyung Cheong:
Integrating Plutchik's Theory with Mixture of Experts for Enhancing Emotion Classification. 857-867 - Chao Liang, Wei Xiang, Bang Wang:
In-context Contrastive Learning for Event Causality Identification. 868-881 - Anna Wegmann, Tijs A. van den Broek, Dong Nguyen:
What's Mine becomes Yours: Defining, Annotating and Detecting Context-Dependent Paraphrases in News Interview Dialogs. 882-912 - Kanishka Misra, Kyle Mahowald:
Language Models Learn Rare Phenomena from Less Rare Phenomena: The Case of the Missing AANNs. 913-929 - Zhen Tan, Dawei Li, Song Wang, Alimohammad Beigi, Bohan Jiang, Amrita Bhattacharjee, Mansooreh Karami, Jundong Li, Lu Cheng, Huan Liu:
Large Language Models for Data Annotation and Synthesis: A Survey. 930-957 - Hongyuan Lu, Haoran Yang, Haoyang Huang, Dongdong Zhang, Wai Lam, Furu Wei:
Chain-of-Dictionary Prompting Elicits Translation in Large Language Models. 958-976 - Yifan Yang, Kai Zhen, Ershad Banijamali, Athanasios Mouchtaris, Zheng Zhang:
AdaZeta: Adaptive Zeroth-Order Tensor-Train Adaption for Memory-Efficient Large Language Models Fine-Tuning. 977-995 - Haoyu Wang, Tianci Liu, Ruirui Li, Monica Xiao Cheng, Tuo Zhao, Jing Gao:
RoseLoRA: Row and Column-wise Sparse Low-rank Adaptation of Pre-trained Language Model for Knowledge Editing and Fine-tuning. 996-1008 - Haoyu Wang, Ruirui Li, Haoming Jiang, Jinjin Tian, Zhengyang Wang, Chen Luo, Xianfeng Tang, Monica Xiao Cheng, Tuo Zhao, Jing Gao:
BlendFilter: Advancing Retrieval-Augmented Large Language Models via Query Generation Blending and Knowledge Filtering. 1009-1025 - Jocelyn Shen, Joel Mire, Hae Park, Cynthia Breazeal, Maarten Sap:
HEART-felt Narratives: Tracing Empathy and Narrative Style in Personal Stories with LLMs. 1026-1046 - Junru Lu, Jiazheng Li, Siyu An, Meng Zhao, Yulan He, Di Yin, Xing Sun:
Eliminating Biased Length Reliance of Direct Preference Optimization via Down-Sampled KL Divergence. 1047-1067 - Tianyi Hu, Maria Maistro, Daniel Hershcovich:
Bridging Cultures in the Kitchen: A Framework and Benchmark for Cross-Cultural Recipe Retrieval. 1068-1080 - Peng Xia, Kangyu Zhu, Haoran Li, Hongtu Zhu, Yun Li, Gang Li, Linjun Zhang, Huaxiu Yao:
RULE: Reliable Multimodal RAG for Factuality in Medical Vision Language Models. 1081-1093 - Yuan Li, Bingqiao Luo, Qian Wang, Nuo Chen, Xu Liu, Bingsheng He:
CryptoTrade: A Reflective LLM-based Agent to Guide Zero-shot Cryptocurrency Trading. 1094-1106 - Qingxiu Dong, Lei Li, Damai Dai, Ce Zheng, Jingyuan Ma, Rui Li, Heming Xia, Jingjing Xu, Zhiyong Wu, Baobao Chang, Xu Sun, Zhifang Sui:
A Survey on In-context Learning. 1107-1128 - Hangdi Xing, Changxu Cheng, Feiyu Gao, Zirui Shao, Zhi Yu, Jiajun Bu, Qi Zheng, Cong Yao:
DocHieNet: A Large and Diverse Dataset for Document Hierarchy Parsing. 1129-1142 - Ziyang Luo, Xin Li, Hongzhan Lin, Jing Ma, Lidong Bing:
AMR-Evol: Adaptive Modular Response Evolution Elicits Better Knowledge Distillation for Large Language Models in Code Generation. 1143-1166 - Shangyu Xing, Fei Zhao, Zhen Wu, Tuo An, Weihao Chen, Chunhui Li, Jianbing Zhang, Xinyu Dai:
EFUF: Efficient Fine-Grained Unlearning Framework for Mitigating Hallucinations in Multimodal Large Language Models. 1167-1181 - Sungbin Shin, Wonpyo Park, Jaeho Lee, Namhoon Lee:
Rethinking Pruning Large Language Models: Benefits and Pitfalls of Reconstruction Error Minimization. 1182-1191 - Roman Koshkin, Katsuhito Sudoh, Satoshi Nakamura:
LLMs Are Zero-Shot Context-Aware Simultaneous Translators. 1192-1207 - Yiqiao Jin, Qinlin Zhao, Yiyang Wang, Hao Chen, Kaijie Zhu, Yijia Xiao, Jindong Wang:
AgentReview: Exploring Peer Review Dynamics with LLM Agents. 1208-1226 - Kelong Mao, Chenlong Deng, Haonan Chen, Fengran Mo, Zheng Liu, Tetsuya Sakai, Zhicheng Dou:
ChatRetriever: Adapting Large Language Models for Generalized and Robust Conversational Dense Retrieval. 1227-1240 - Han Zhou, Xingchen Wan, Yinhong Liu, Nigel Collier, Ivan Vulic, Anna Korhonen:
Fairer Preferences Elicit Improved Human-Aligned Large Language Model Judgments. 1241-1252 - Chenlong Deng, Kelong Mao, Zhicheng Dou:
Learning Interpretable Legal Case Retrieval via Knowledge-Guided Case Reformulation. 1253-1265 - Peng Wang, Xiaobin Wang, Chao Lou, Shengyu Mao, Pengjun Xie, Yong Jiang:
Effective Demonstration Annotation for In-Context Learning via Language Model-Based Determinantal Point Process. 1266-1280 - Yuhui Zhang, Brandon McKinzie, Zhe Gan, Vaishaal Shankar, Alexander Toshev:
Pre-trained Language Models Do Not Help Auto-regressive Text-to-Image Generation. 1281-1287 - Ashima Suvarna, Xiao Liu, Tanmay Parekh, Kai-Wei Chang, Nanyun Peng:
QUDSELECT: Selective Decoding for Questions Under Discussion Parsing. 1288-1299 - Peng Chen, Xiao-Yu Guo, Yuan-Fang Li, Xiaowang Zhang, Zhiyong Feng:
Mitigating Language Bias of LMMs in Social Intelligence Understanding with Virtual Counterfactual Calibration. 1300-1310 - Zihang Liu, Yuanzhe Hu, Tianyu Pang, Yefan Zhou, Pu Ren, Yaoqing Yang:
Model Balancing Helps Low-data Training and Fine-tuning. 1311-1331 - Zhaofeng Wu, Ananth Balashankar, Yoon Kim, Jacob Eisenstein, Ahmad Beirami:
Reuse Your Rewards: Reward Model Transfer for Zero-Shot Cross-Lingual Alignment. 1332-1353 - Kun Luo, Minghao Qin, Zheng Liu, Shitao Xiao, Jun Zhao, Kang Liu:
Large Language Models as Foundations for Next-Gen Dense Retrieval: A Comprehensive Empirical Assessment. 1354-1365 - Zhongwu Chen, Long Bai, Zixuan Li, Zhen Huang, Xiaolong Jin, Yong Dou:
A New Pipeline for Knowledge Graph Reasoning Enhanced by Large Language Models Without Fine-Tuning. 1366-1381 - Zhiyuan Chen, Shiqi Shen, Guangyao Shen, Gong Zhi, Xu Chen, Yankai Lin:
Towards Tool Use Alignment of Large Language Models. 1382-1400 - Ranchi Zhao, Zhen Leng Thai, Yifan Zhang, Shengding Hu, Jie Zhou, Yunqi Ba, Jie Cai, Zhiyuan Liu, Maosong Sun:
DecorateLM: Data Engineering through Corpus Rating, Tagging, and Editing with Language Models. 1401-1418 - Yung-Sung Chuang, Linlu Qiu, Cheng-Yu Hsieh, Ranjay Krishna, Yoon Kim, James R. Glass:
Lookback Lens: Detecting and Mitigating Contextual Hallucinations in Large Language Models Using Only Attention Maps. 1419-1436 - Yiju Guo, Ganqu Cui, Lifan Yuan, Ning Ding, Zexu Sun, Bowen Sun, Huimin Chen, Ruobing Xie, Jie Zhou, Yankai Lin, Zhiyuan Liu, Maosong Sun:
Controllable Preference Optimization: Toward Controllable Multi-Objective Alignment. 1437-1454 - Yongsen Zheng, Ruilin Xu, Guohua Wang, Liang Lin, Kwok-Yan Lam:
Mitigating Matthew Effect: Multi-Hypergraph Boosted Multi-Interest Self-Supervised Learning for Conversational Recommendation. 1455-1466 - Haoran Li, Qiang Gao, Hongmei Wu, Li Huang:
Advancing Event Causality Identification via Heuristic Semantic Dependency Inquiry Network. 1467-1478 - Wenjian Ding, Yao Zhang, Jun Wang, Adam Jatowt, Zhenglu Yang:
Exploring Union and Intersection of Visual Regions for Generating Questions, Answers, and Distractors. 1479-1489 - Xiangyu Zhao, Yuehan Zhang, Wenlong Zhang, Xiao-Ming Wu:
UniFashion: A Unified Vision-Language Model for Multimodal Fashion Retrieval and Generation. 1490-1507 - Hayden S. Helm, Brandon Duderstadt, Youngser Park, Carey E. Priebe:
Tracking the perspectives of interacting language models. 1508-1519 - Zhengxuan Zhang, Yin Wu, Yuyu Luo, Nan Tang:
MAR: Matching-Augmented Reasoning for Enhancing Visual-based Entity Question Answering. 1520-1530 - Zhe Yang, Yichang Zhang, Tianyu Liu, Jian Yang, Junyang Lin, Chang Zhou, Zhifang Sui:
Can Large Language Models Always Solve Easy Problems if They Can Solve Harder Ones? 1531-1555 - Weimin Xiong, Yifan Song, Xiutian Zhao, Wenhao Wu, Xun Wang, Ke Wang, Cheng Li, Wei Peng, Sujian Li:
Watch Every Step! LLM Agent Learning via Iterative Step-level Process Refinement. 1556-1572 - Joseph Marvin Imperial, Gail Forey, Harish Tayyar Madabushi:
Standardize: Aligning Language Models with Expert-Defined Standards for Content Generation. 1573-1594 - Zhihao Zhang, Sophia Yat Mei Lee, Junshuang Wu, Dong Zhang, Shoushan Li, Erik Cambria, Guodong Zhou:
Cross-domain NER with Generated Task-Oriented Knowledge: An Empirical Study from Information Density Perspective. 1595-1609 - Zhen Tan, Chengshuai Zhao, Raha Moraffah, Yifan Li, Song Wang, Jundong Li, Tianlong Chen, Huan Liu:
Glue pizza and eat rocks - Exploiting Vulnerabilities in Retrieval-Augmented Generative Models. 1610-1626 - Yuxuan Wang, Xiaoyuan Liu:
Predicate Debiasing in Vision-Language Models Integration for Scene Graph Generation Enhancement. 1627-1639 - Xiaoze Liu, Ting Sun, Tianyang Xu, Feijie Wu, Cunxiang Wang, Xiaoqian Wang, Jing Gao:
SHIELD: Evaluation and Defense Strategies for Copyright Compliance in LLM Text Generation. 1640-1670 - Jiayuan Rao, Haoning Wu, Chang Liu, Yanfeng Wang, Weidi Xie:
MatchTime: Towards Automatic Soccer Game Commentary Generation. 1671-1685 - Zheng Zhan, Yushu Wu, Zhenglun Kong, Changdi Yang, Yifan Gong, Xuan Shen, Xue Lin, Pu Zhao, Yanzhi Wang:
Rethinking Token Reduction for State Space Models. 1686-1697 - Chang Zong, Yuchen Yan, Weiming Lu, Jian Shao, Yongfeng Huang, Heng Chang, Yueting Zhuang:
Triad: A Framework Leveraging a Multi-Role LLM-based Agent to Solve Knowledge Base Question Answering. 1698-1710 - Yuyan Zhou, Liang Song, Bingning Wang, Weipeng Chen:
MetaGPT: Merging Large Language Models Using Model Exclusive Task Arithmetic. 1711-1724 - Haoyu Wang, Fengze Liu, Jiayao Zhang, Dan Roth, Kyle Richardson:
Event Causality Identification with Synthetic Control. 1725-1737 - Chang Ma, Haiteng Zhao, Lin Zheng, Jiayi Xin, Qintong Li, Lijun Wu, Zhihong Deng, Yang Lu, Qi Liu, Sheng Wang, Lingpeng Kong:
Retrieved Sequence Augmentation for Protein Representation Learning. 1738-1767 - Fan Yuan, Chi Qin, Xiaogang Xu, Piji Li:
HELPD: Mitigating Hallucination of LVLMs by Hierarchical Feedback Learning with Vision-enhanced Penalty Decoding. 1768-1785 - Chengzu Li, Caiqi Zhang, Han Zhou, Nigel Collier, Anna Korhonen, Ivan Vulic:
TopViewRS: Vision-Language Models as Top-View Spatial Reasoners. 1786-1807 - Yibo Wang, Xiangjue Dong, James Caverlee, Philip S. Yu:
DA³: A Distribution-Aware Adversarial Attack against Language Models. 1808-1825 - Xingxuan Li, Yutong Li, Lin Qiu, Shafiq Joty, Lidong Bing:
Evaluating Psychological Safety of Large Language Models. 1826-1843 - Zhuowei Chen, Lianxi Wang, Yuben Wu, Xinfeng Liao, Yujia Tian, Junyang Zhong:
An Effective Deployment of Diffusion LM for Data Augmentation in Low-Resource Sentiment Classification. 1844-1856 - Dongze Hao, Qunbo Wang, Longteng Guo, Jie Jiang, Jing Liu:
Self-Bootstrapped Visual-Language Model for Knowledge Selection and Question Answering. 1857-1868 - Libo Zhao, Jing Li, Ziqian Zeng:
PsFuture: A Pseudo-Future-based Zero-Shot Adaptive Policy for Simultaneous Machine Translation. 1869-1881 - Liang Zhang, Anwen Hu, Haiyang Xu, Ming Yan, Yichen Xu, Qin Jin, Ji Zhang, Fei Huang:
TinyChart: Efficient Chart Understanding with Program-of-Thoughts Learning and Visual Token Merging. 1882-1898 - Caiqi Zhang, Zhijiang Guo, Andreas Vlachos:
Do We Need Language-Specific Fact-Checking Models? The Case of Chinese. 1899-1914 - Zhiyuan Li, Dongnan Liu, Chaoyi Zhang, Heng Wang, Tengfei Xue, Weidong Cai:
Enhancing Advanced Visual Reasoning Ability of Large Language Models. 1915-1929 - Zecheng Tang, Keyan Zhou, Juntao Li, Yuyang Ding, Pinzheng Wang, Yan Bowen, Renjie Hua, Min Zhang:
CMD: a framework for Context-aware Model self-Detoxification. 1930-1949 - Xiaomeng Hu, Yiming Zhang, Ru Peng, Haozhe Zhang, Chenwei Wu, Gang Chen, Junbo Zhao:
Embedding and Gradient Say Wrong: A White-Box Method for Hallucination Detection. 1950-1959 - Yu Zhang, Ziyue Jiang, Ruiqi Li, Changhao Pan, Jinzheng He, Rongjie Huang, Chuxin Wang, Zhou Zhao:
TCSinger: Zero-Shot Singing Voice Synthesis with Style Transfer and Multi-Level Style Control. 1960-1975 - Junlin Li, Bo Peng, Yu-Yin Hsu, Chu-Ren Huang:
Be Helpful but Don't Talk too Much - Enhancing Helpfulness in Conversations through Relevance in Multi-Turn Emotional Support. 1976-1988