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Publication search results
found 534 matches
- 2024
- Stefano Bannò, Hari Krishna Vydana, Kate M. Knill, Mark J. F. Gales:
Can GPT-4 do L2 analytic assessment? BEA 2024: 149-164 - Santiago Berruti, Arturo Collazo, Diego Sellanes, Aiala Rosá, Luis Chiruzzo:
Automatic Crossword Clues Extraction for Language Learning. BEA 2024: 381-390 - Marie Bexte, Andrea Horbach, Lena Schützler, Oliver Christ, Torsten Zesch:
Scoring with Confidence? - Exploring High-confidence Scoring for Saving Manual Grading Effort. BEA 2024: 119-124 - Allison Bradford, Kenneth Steimel, Brian Riordan, Marcia C. Linn:
Building Robust Content Scoring Models for Student Explanations of Social Justice Science Issues. BEA 2024: 450-458 - Okan Bulut, Guher Gorgun, Bin Tan:
Item Difficulty and Response Time Prediction with Large Language Models: An Empirical Analysis of USMLE Items. BEA 2024: 522-527 - Dan Carpenter, Wookhee Min, Seung Y. Lee, Gamze Ozogul, Xiaoying Zheng, James C. Lester:
Assessing Student Explanations with Large Language Models Using Fine-Tuning and Few-Shot Learning. BEA 2024: 403-413 - Imran Chamieh, Torsten Zesch, Klaus Giebermann:
LLMs in Short Answer Scoring: Limitations and Promise of Zero-Shot and Few-Shot Approaches. BEA 2024: 309-315 - Petru Cristea, Sergiu Nisioi:
Archaeology at MLSP 2024: Machine Translation for Lexical Complexity Prediction and Lexical Simplification. BEA 2024: 610-617 - Scott A. Crossley, Perpetual Baffour, Mihai Dascalu, Stefan Ruseti:
A World CLASSE Student Summary Corpus. BEA 2024: 99-107 - Yuning Ding, Julian Lohmann, Nils-Jonathan Schaller, Thorben Jansen, Andrea Horbach:
Transfer Learning of Argument Mining in Student Essays. BEA 2024: 439-449 - Kosuke Doi, Katsuhito Sudoh, Satoshi Nakamura:
Automated Essay Scoring Using Grammatical Variety and Errors with Multi-Task Learning and Item Response Theory. BEA 2024: 316-329 - George Dueñas, Sergio Jimenez, Geral Mateus Ferro:
UPN-ICC at BEA 2024 Shared Task: Leveraging LLMs for Multiple-Choice Questions Difficulty Prediction. BEA 2024: 542-550 - Matthew Durward, Christopher Thomson:
Evaluating Vocabulary Usage in LLMs. BEA 2024: 266-282 - Benjamin Dutilleul, Mathis Debaillon, Sandeep Mathias:
ISEP_Presidency_University at MLSP 2024 Shared Task: Using GPT-3.5 to Generate Substitutes for Lexical Simplification. BEA 2024: 605-609 - Taisei Enomoto, Hwichan Kim, Tosho Hirasawa, Yoshinari Nagai, Ayako Sato, Kyotaro Nakajima, Mamoru Komachi:
TMU-HIT at MLSP 2024: How Well Can GPT-4 Tackle Multilingual Lexical Simplification? BEA 2024: 590-598 - Mariano Felice, Zeynep Duran Karaoz:
The British Council submission to the BEA 2024 shared task. BEA 2024: 503-511 - Rishikesh Fulari, Jonathan Rusert:
Utilizing Machine Learning to Predict Question Difficulty and Response Time for Enhanced Test Construction. BEA 2024: 528-533 - Dominik Glandorf, Detmar Meurers:
Towards Fine-Grained Pedagogical Control over English Grammar Complexity in Educational Text Generation. BEA 2024: 299-308 - Sebastian Gombert, Lukas Menzel, Daniele Di Mitri, Hendrik Drachsler:
Predicting Item Difficulty and Item Response Time with Scalar-mixed Transformer Encoder Models and Rational Network Regression Heads. BEA 2024: 483-492 - Dhiman Goswami, Kai North, Marcos Zampieri:
GMU at MLSP 2024: Multilingual Lexical Simplification with Transformer Models. BEA 2024: 627-634 - Ahatsham Hayat, Bilal Khan, Mohammad Hasan:
Improving Transfer Learning for Early Forecasting of Academic Performance by Contextualizing Language Models. BEA 2024: 137-148 - Michael Ilagan, Beata Beigman Klebanov, Jamie N. Mikeska:
Automated Evaluation of Teacher Encouragement of Student-to-Student Interactions in a Simulated Classroom Discussion. BEA 2024: 182-198 - Beata Beigman Klebanov, Michael Suhan, Tenaha O'Reilly, Zuowei Wang:
From Miscue to Evidence of Difficulty: Analysis of Automatically Detected Miscues in Oral Reading for Feedback Potential. BEA 2024: 459-469 - Masamune Kobayashi, Masato Mita, Mamoru Komachi:
Large Language Models Are State-of-the-Art Evaluator for Grammatical Error Correction. BEA 2024: 68-77 - Charles Koutcheme, Nicola Dainese, Arto Hellas:
Using Program Repair as a Proxy for Language Models' Feedback Ability in Programming Education. BEA 2024: 165-181 - Nischal Ashok Kumar, Andrew S. Lan:
Improving Socratic Question Generation using Data Augmentation and Preference Optimization. BEA 2024: 108-118 - Alexander Kwako, Christopher Michael Ormerod:
Can Language Models Guess Your Identity? Analyzing Demographic Biases in AI Essay Scoring. BEA 2024: 78-86 - Tianwen Li, Zhexiong Liu, Lindsay Clare Matsumura, Elaine Wang, Diane J. Litman, Richard Correnti:
Using Large Language Models to Assess Young Students' Writing Revisions. BEA 2024: 365-380 - Ho Hung Lim, John Lee:
Improving Readability Assessment with Ordinal Log-Loss. BEA 2024: 343-350 - Masato Mita, Keisuke Sakaguchi, Masato Hagiwara, Tomoya Mizumoto, Jun Suzuki, Kentaro Inui:
Towards Automated Document Revision: Grammatical Error Correction, Fluency Edits, and Beyond. BEA 2024: 251-265
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