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ACL 2025

4,141 papers

Benchmarking zero-shot biomedical relation triplet extraction across language model architectures

Frederik Gade, Ole Lund, Marie Lisandra Mendoza

PreClinIE: An Annotated Corpus for Information Extraction in Preclinical Studies

Simona Doneva, Hanna Hubarava, Pia Härvelid, Wolfgang Zürrer, Julia Bugajska

Transformer-Based Medical Statement Classification in Doctor-Patient Dialogues

Farnod Bahrololloomi, Johannes Luderschmidt, Biying Fu

AdaBioBERT: Adaptive Token Sequence Learning for Biomedical Named Entity Recognition

Sumit Kumar, Tanmay Basu

Fine-tuning LLMs to Extract Epilepsy Seizure Frequency Data from Health Records

Ben Holgate, Joe Davies, Shichao Fang, Joel Winston, James Teo

Enhancing Stress Detection on Social Media Through Multi-Modal Fusion of Text and Synthesized Visuals

Efstathia Soufleri, Sophia Ananiadou

MedSummRAG: Domain-Specific Retrieval for Medical Summarization

Guanting Luo, Yuki Arase

Effect of Multilingual and Domain-adapted Continual Pre-training on Few-shot Promptability

Ken Yano, Makoto Miwa

Understanding the Impact of Confidence in Retrieval Augmented Generation: A Case Study in the Medical Domain

Shintaro Ozaki, Yuta Kato, Siyuan Feng, Masayo Tomita, Kazuki Hayashi

Thapar Titan/s : Fine-Tuning Pretrained Language Models with Contextual Augmentation for Mistake Identification in Tutor–Student Dialogues

Harsh Dadwal, Sparsh Rastogi, Jatin Bedi

BD at BEA 2025 Shared Task: MPNet Ensembles for Pedagogical Mistake Identification and Localization in AI Tutor Responses

Shadman Rohan, Ishita Sur Apan, Muhtasim Ibteda Shochcho, Md Fahim, Mohammad Ashfaq Ur Rahman

DLSU at BEA 2025 Shared Task: Towards Establishing Baseline Models for Pedagogical Response Evaluation Tasks

Maria Monica Manlises, Mark Edward Gonzales, Lanz Lim

NeuralNexus at BEA 2025 Shared Task: Retrieval-Augmented Prompting for Mistake Identification in AI Tutors

Numaan Naeem, Sarfraz Ahmad, Momina Ahsan, Hasan Iqbal

NLIP at BEA 2025 Shared Task: Evaluation of Pedagogical Ability of AI Tutors

Trishita Saha, Shrenik Ganguli, Maunendra Sankar Desarkar

Archaeology at BEA 2025 Shared Task: Are Simple Baselines Good Enough?

Ana Roșu, Jany-Gabriel Ispas, Sergiu Nisioi

Two Outliers at BEA 2025 Shared Task: Tutor Identity Classification using DiReC, a Two-Stage Disentangled Contrastive Representation

Eduardus Tjitrahardja, Ikhlasul Akmal Hanif

TutorMind at BEA 2025 Shared Task: Leveraging Fine-Tuned LLMs and Data Augmentation for Mistake Identification

Fatima Dekmak, Christian Khairallah, Wissam Antoun

MSA at BEA 2025 Shared Task: Disagreement-Aware Instruction Tuning for Multi-Dimensional Evaluation of LLMs as Math Tutors

Baraa Hikal, Mohamed Basem, Islam Oshallah, Ali Hamdi

IALab UC at BEA 2025 Shared Task: LLM-Powered Expert Pedagogical Feature Extraction

Sofía Correa Busquets, Valentina Córdova Véliz, Jorge Baier

LexiLogic at BEA 2025 Shared Task: Fine-tuning Transformer Language Models for the Pedagogical Skill Evaluation of LLM-based tutors

Souvik Bhattacharyya, Billodal Roy, Niranjan M, Pranav Gupta

TBA at BEA 2025 Shared Task: Transfer-Learning from DARE-TIES Merged Models for the Pedagogical Ability Assessment of LLM-Powered Math Tutors

Sebastian Gombert, Fabian Zehner, Hendrik Drachsler

Henry at BEA 2025 Shared Task: Improving AI Tutor’s Guidance Evaluation Through Context-Aware Distillation

Henry Pit

K-NLPers at BEA 2025 Shared Task: Evaluating the Quality of AI Tutor Responses with GPT-4.1

Geon Park, Jiwoo Song, Gihyeon Choi, Juoh Sun, Harksoo Kim

RETUYT-INCO at BEA 2025 Shared Task: How Far Can Lightweight Models Go in AI-powered Tutor Evaluation?

Santiago Góngora, Ignacio Sastre, Santiago Robaina, Ignacio Remersaro, Luis Chiruzzo

SmolLab_SEU at BEA 2025 Shared Task: A Transformer-Based Framework for Multi-Track Pedagogical Evaluation of AI-Powered Tutors

Md. Abdur Rahman, Md Al Amin, Sabik Aftahee, Muhammad Junayed, Md Ashiqur Rahman

Averroes at BEA 2025 Shared Task: Verifying Mistake Identification in Tutor, Student Dialogue

Mazen Yasser, Mariam Saeed, Hossam Elkordi, Ayman Khalafallah

Emergent Wisdom at BEA 2025 Shared Task: From Lexical Understanding to Reflective Reasoning for Pedagogical Ability Assessment

Raunak Jain, Srinivasan Rengarajan

Phaedrus at BEA 2025 Shared Task: Assessment of Mathematical Tutoring Dialogues through Tutor Identity Classification and Actionability Evaluation

Rajneesh Tiwari, Pranshu Rastogi

BLCU-ICALL at BEA 2025 Shared Task: Multi-Strategy Evaluation of AI Tutors

Jiyuan An, Xiang Fu, Bo Liu, Xuquan Zong, Cunliang Kong

SYSUpporter Team at BEA 2025 Shared Task: Class Compensation and Assignment Optimization for LLM-generated Tutor Identification

Longfeng Chen, Zeyu Huang, Zheng Xiao, Yawen Zeng, Jin Xu

BJTU at BEA 2025 Shared Task: Task-Aware Prompt Tuning and Data Augmentation for Evaluating AI Math Tutors

Yuming Fan, Chuangchuang Tan, Wenyu Song

CU at BEA 2025 Shared Task: A BERT-Based Cross-Attention Approach for Evaluating Pedagogical Responses in Dialogue

Zhihao Lyu

bea-jh at BEA 2025 Shared Task: Evaluating AI-powered Tutors through Pedagogically-Informed Reasoning

Jihyeon Roh, Jinhyun Bang

Wonderland_EDU@HKU at BEA 2025 Shared Task: Fine-tuning Large Language Models to Evaluate the Pedagogical Ability of AI-powered Tutors

Deliang Wang, Chao Yang, Gaowei Chen

Jinan Smart Education at BEA 2025 Shared Task: Dual Encoder Architecture for Tutor Identification via Semantic Understanding of Pedagogical Conversations

Lei Chen

Findings of the BEA 2025 Shared Task on Pedagogical Ability Assessment of AI-powered Tutors

Ekaterina Kochmar, Kaushal Maurya, Kseniia Petukhova, Kv Aditya Srivatsa, Anaïs Tack

LLM-Assisted, Iterative Curriculum Writing: A Human-Centered AI Approach in Finnish Higher Education

Leo Huovinen, Mika Hämäläinen

Can LLMs Reliably Simulate Real Students’ Abilities in Mathematics and Reading Comprehension?

Kv Aditya Srivatsa, Kaushal Maurya, Ekaterina Kochmar

A Framework for Proficiency-Aligned Grammar Practice in LLM-Based Dialogue Systems

Luisa Ribeiro-Flucht, Xiaobin Chen, Detmar Meurers

End-to-End Automated Item Generation and Scoring for Adaptive English Writing Assessment with Large Language Models

Kamel Nebhi, Amrita Panesar, Hans Bantilan

Paragraph-level Error Correction and Explanation Generation: Case Study for Estonian

Martin Vainikko, Taavi Kamarik, Karina Kert, Krista Liin, Silvia Maine

Can GPTZero’s AI Vocabulary Distinguish Between LLM-Generated and Student-Written Essays?

Veronica Schmalz, Anaïs Tack

UPSC2M: Benchmarking Adaptive Learning from Two Million MCQ Attempts

Kevin Shi, Karttikeya Mangalam

STAIR-AIG: Optimizing the Automated Item Generation Process through Human-AI Collaboration for Critical Thinking Assessment

Euigyum Kim, Seewoo Li, Salah Khalil, Hyo Jeong Shin

EduCSW: Building a Mandarin-English Code-Switched Generation Pipeline for Computer Science Learning

Ruishi Chen, Yiling Zhao

Decoding Actionability: A Computational Analysis of Teacher Observation Feedback

Mayank Sharma, Jason Zhang

Automated Scoring of Communication Skills in Physician-Patient Interaction: Balancing Performance and Scalability

Saed Rezayi, Le An Ha, Yiyun Zhou, Andrew Houriet, Angelo D’Addario

Temporalizing Confidence: Evaluation of Chain-of-Thought Reasoning with Signal Temporal Logic

Zhenjiang Mao, Artem Bisliouk, Rohith Nama, Ivan Ruchkin

Comparing Behavioral Patterns of LLM and Human Tutors: A Population-level Analysis with the CIMA Dataset

Aayush Kucheria, Nitin Sawhney, Arto Hellas

Intent Matters: Enhancing AI Tutoring with Fine-Grained Pedagogical Intent Annotation

Kseniia Petukhova, Ekaterina Kochmar

Span Labeling with Large Language Models: Shell vs. Meat

Phoebe Mulcaire, Nitin Madnani

EyeLLM: Using Lookback Fixations to Enhance Human-LLM Alignment for Text Completion

Astha Singh, Mark Torrance, Evgeny Chukharev

Enhancing Security and Strengthening Defenses in Automated Short-Answer Grading Systems

Sahar Yarmohammadtoosky, Yiyun Zhou, Victoria Yaneva, Peter Baldwin, Saed Rezayi

GermDetect: Verb Placement Error Detection Datasets for Learners of Germanic Languages

Noah-Manuel Michael, Andrea Horbach

Beyond Linear Digital Reading: An LLM-Powered Concept Mapping Approach for Reducing Cognitive Load

Junzhi Han, Jinho D. Choi

Improving AI assistants embedded in short e-learning courses with limited textual content

Jacek Marciniak, Marek Kubis, Michał Gulczyński, Adam Szpilkowski, Adam Wieczarek

Assessing Critical Thinking Components in Romanian Secondary School Textbooks: A Data Mining Approach to the ROTEX Corpus

Madalina Chitez, Liviu Dinu, Marius Micluta-Campeanu, Ana-Maria Bucur, Roxana Rogobete

Exploring LLMs for Predicting Tutor Strategy and Student Outcomes in Dialogues

Fareya Ikram, Alexander Scarlatos, Andrew Lan

Improving In-context Learning Example Retrieval for Classroom Discussion Assessment with Re-ranking and Label Ratio Regulation

Nhat Tran, Diane Litman, Benjamin Pierce, Richard Correnti, Lindsay Clare Matsumura

A Bayesian Approach to Inferring Prerequisite Structures and Topic Difficulty in Language Learning

Anh-Duc Vu, Jue Hou, Anisia Katinskaia, Ching-Fan Sheu, Roman Yangarber

Exploring task formulation strategies to evaluate the coherence of classroom discussions with GPT-4o

Yuya Asano, Beata Beigman Klebanov, Jamie Mikeska

Exploring LLM-Based Assessment of Italian Middle School Writing: A Pilot Study

Adriana Mirabella, Dominique Brunato

Name of Thrones: How Do LLMs Rank Student Names in Status Hierarchies Based on Race and Gender?

Annabella Sakunkoo, Jonathan Sakunkoo

Using NLI to Identify Potential Collocation Transfer in L2 English

Haiyin Yang, Zoey Liu, Stefanie Wulff

Lessons Learned in Assessing Student Reflections with LLMs

Mohamed Elaraby, Diane Litman

Down the Cascades of Omethi: Hierarchical Automatic Scoring in Large-Scale Assessments

Fabian Zehner, Hyo Jeong Shin, Emily Kerzabi, Andrea Horbach, Sebastian Gombert

Advancing Question Generation with Joint Narrative and Difficulty Control

Bernardo Leite, Henrique Lopes Cardoso

Exploiting the English Vocabulary Profile for L2 word-level vocabulary assessment with LLMs

Stefano Bannò, Kate M. Knill, Mark J. F. Gales

Are Large Language Models for Education Reliable Across Languages?

Vansh Gupta, Sankalan Pal Chowdhury, Vilém Zouhar, Donya Rooein, Mrinmaya Sachan

Estimation of Text Difficulty in the Context of Language Learning

Anisia Katinskaia, Anh-Duc Vu, Jue Hou, Ulla Vanhatalo, Yiheng Wu

Analyzing Interview Questions via Bloom’s Taxonomy to Enhance the Design Thinking Process

Fatemeh Kazemi Vanhari, Christopher Anand, Charles Welch

Direct Repair Optimization: Training Small Language Models For Educational Program Repair Improves Feedback

Charles Koutcheme, Nicola Dainese, Arto Hellas

Enhancing Arabic Automated Essay Scoring with Synthetic Data and Error Injection

Chatrine Qwaider, Bashar Alhafni, Kirill Chirkunov, Nizar Habash, Ted Briscoe

Explaining Holistic Essay Scores in Comparative Judgment Assessments by Predicting Scores on Rubrics

Michiel De Vrindt, Renske Bouwer, Wim Van Den Noortgate, Marije Lesterhuis, Anaïs Tack

LLMs in alliance with Edit-based models: advancing In-Context Learning for Grammatical Error Correction by Specific Example Selection

Alexey Sorokin, Regina Nasyrova

From End-Users to Co-Designers: Lessons from Teachers

Martina Galletti, Valeria Cesaroni

Unsupervised Sentence Readability Estimation Based on Parallel Corpora for Text Simplification

Rina Miyata, Toru Urakawa, Hideaki Tamori, Tomoyuki Kajiwara

Advances in Auto-Grading with Large Language Models: A Cross-Disciplinary Survey

Tania Amanda Nkoyo Frederick Eneye, Chukwuebuka Fortunate Ijezue, Ahmad Imam Amjad, Maaz Amjad, Sabur Butt

Costs and Benefits of AI-Enabled Topic Modeling in P-20 Research: The Case of School Improvement Plans

Syeda Sabrina Akter, Seth Hunter, David Woo, Antonios Anastasopoulos

LangEye: Toward ‘Anytime’ Learner-Driven Vocabulary Learning From Real-World Objects

Mariana Shimabukuro, Deval Panchal, Christopher Collins

Investigating Methods for Mapping Learning Objectives to Bloom’s Revised Taxonomy in Course Descriptions for Higher Education

Zahra Kolagar, Frank Zalkow, Alessandra Zarcone

Automatic Generation of Inference Making Questions for Reading Comprehension Assessments

Wanjing (Anya) Ma, Michael Flor, Zuowei Wang

Automated L2 Proficiency Scoring: Weak Supervision, Large Language Models, and Statistical Guarantees

Aitor Arronte Alvarez, Naiyi Xie Fincham

Transformer-Based Real-Word Spelling Error Feedback with Configurable Confusion Sets

Torsten Zesch, Dominic Gardner, Marie Bexte

Educators’ Perceptions of Large Language Models as Tutors: Comparing Human and AI Tutors in a Blind Text-only Setting

Sankalan Pal Chowdhury, Terry Jingchen Zhang, Donya Rooein, Dirk Hovy, Tanja Käser

Don’t Score too Early! Evaluating Argument Mining Models on Incomplete Essays

Nils-Jonathan Schaller, Yuning Ding, Thorben Jansen, Andrea Horbach

Towards Automatic Formal Feedback on Scientific Documents

Louise Bloch, Johannes Rückert, Christoph Friedrich

The Need for Truly Graded Lexical Complexity Prediction

David Alfter

You Shall Know a Word’s Difficulty by the Family It Keeps: Word Family Features in Personalised Word Difficulty Classifiers for L2 Spanish

Jasper Degraeuwe

LookAlike: Consistent Distractor Generation in Math MCQs

Nisarg Parikh, Alexander Scarlatos, Nigel Fernandez, Simon Woodhead, Andrew Lan

Challenges for AI in Multimodal STEM Assessments: a Human-AI Comparison

Aymeric de Chillaz, Anna Sotnikova, Patrick Jermann, Antoine Bosselut

Do LLMs Give Psychometrically Plausible Responses in Educational Assessments?

Andreas Säuberli, Diego Frassinelli, Barbara Plank

LEVOS: Leveraging Vocabulary Overlap with Sanskrit to Generate Technical Lexicons in Indian Languages

Karthika N J, Krishnakant Bhatt, Ganesh Ramakrishnan, Preethi Jyothi

LLMs Protégés: Tutoring LLMs with Knowledge Gaps Improves Student Learning Outcome

Andrei Kucharavy, Cyril Vallez, Dimitri Percia David

Automated Scoring of a German Written Elicited Imitation Test

Mihail Chifligarov, Jammila Laâguidi, Max Schellenberg, Alexander Dill, Anna Timukova

Increasing the Generalizability of Similarity-Based Essay Scoring Through Cross-Prompt Training

Marie Bexte, Yuning Ding, Andrea Horbach

LLM-based post-editing as reference-free GEC evaluation

Robert Östling, Murathan Kurfali, Andrew Caines

Multilingual Grammatical Error Annotation: Combining Language-Agnostic Framework with Language-Specific Flexibility

Mengyang Qiu, Tran Minh Nguyen, Zihao Huang, Zelong Li, Yang Gu

Towards a Real-time Swedish Speech Analyzer for Language Learning Games: A Hybrid AI Approach to Language Assessment

Tianyi Geng, David Alfter

Automatic concept extraction for learning domain modeling: A weakly supervised approach using contextualized word embeddings

Kordula De Kuthy, Leander Girrbach, Detmar Meurers