📰 BEA 2026: all accepted papers

92 papers · the most cited first · ← BEA 2026

1. A Survey of Automated Presentation Coaching: Systems, Methods, and Open Challenges ↗Wen Liang, Li Siyan, Zackary Rackauckas et al.1 citation
2. Evaluating Adaptive Personalization of Educational Readings with Simulated Learners ↗Ryan T. Woo, Anmol Rao, Aryan Keluskar et al.1 citation
3. Evaluating LLM Workflows for Generating Clinical Communication Assessment Items: A Comparative Study with Subject-Matter Experts ↗Christopher Runyon, Peter Baldwin, Ian Micir et al.1 citation
4. A Bigger Catch: Fine-Grained Curriculum Standards Alignment on the MathFish Benchmark ↗Xinman Liu, Mayank Sharma, Xinyu Shi
5. AIDA at BEA 2026 Shared Task 1: A Two-Stage Framework for L1-Aware Vocabulary Difficulty Prediction with Representation Diversity and Residual Calibration ↗Seok Hyeon Cho, JunHyeok Choi, Sangeun Ji et al.
6. AMATI at BEA 2026 Shared Task 2: Automatic Short Answer Grading with Inductive Logic Programming and a Large Language Model ↗Alistair Willis, Aisling Third
7. ASLAN at BEA 2026 Shared Task 2: Voting Across Scoring Paradigms ↗Marie Bexte, Yuning Ding, Josef Ruppenhofer et al.
8. Assessing the Quality and Consistency of Automated Knowledge Component Generation using Instructor-generated Questions and LLMs ↗Jordan Esiason, Priyanka Khare, Wookhee Min et al.
9. Assessment of L2 speech global dimensions using large audio language models ↗Elsayed Issa, Mahmoud Ali
10. BoostedCats at BEA 2026 Shared Task 1: What Makes a Word Hard to Learn? Modeling L1 Influence on English Vocabulary Difficulty ↗Jonas Mayer Martins, Zhuojing Huang, Aaricia Herygers et al.
11. Challenges in Machine Translation of Interactive Multimodal Exercises ↗Lucie Polakova, Miroslav Hrabal, Věra Kloudová et al.
12. Children's English Reading Story Generation via Supervised Fine-Tuning of Compact LLMs with Controllable Difficulty and SafetyQian Shen, Fanghua Cao, Min Yao et al.our summary
13. Classification of Student Struggle in Mathematics ↗Hannah Levin, Madhura Padwal, Nchimunya Mwiinga
14. Comparative Evaluation of AI-Generated vs. Expert-written Answer Explanations for a Medical Education Self-Assessment ↗Yiyun Zhou, Francis O'Donnell, Victoria Yaneva
15. Confirming Correct, Missing the Rest: LLM Tutoring Agents Struggle Where Feedback Matters Most ↗Tahreem Yasir, Wenbo Li, Sam Gilson et al.
16. Criterial Features in German: Towards Interpretable NLP in Readability Assessment ↗Denise Loefflad, Sofia Kathmann, Heiko Holz et al.
17. Data Asgardians at BEA 2026 Shared Task 1: A Hybrid Transformer–Feature Ensemble for L1-Aware English Vocabulary Difficulty Prediction ↗Adrian Pineda, Sabur Butt, Héctor Ceballos Cancino
18. Data-lean fine-tuning of models for evaluating teacher performance in a GenAI-led elicitation simulation ↗Beata Beigman Klebanov, Andrew Hoang, Jamie Mikeska et al.
19. Domain-Adaptive Pre-training for Automated Short Answer Grading in Conceptual Physics: Reliability, Question-Level Analysis, and Error Reduction ↗Shirin Lade, Alistair Willis, Jonathan Nylk et al.
20. Edit-level Majority Voting Mitigates Over-Correction in LLM-based Grammatical Error Correction ↗Takumi Goto, Yusuke Sakai, Taro Watanabe
21. EduMUSE: A Multimodal Educational Dataset with Automatically Extracted Instructional Context ↗Andreea Dutulescu, Stefan Ruseti, Mihai Dascalu et al.
22. EduNLP at BEA 2026 Shared Task 1: Multi-Model Ensemble with Feature-Augmented Transformers for Vocabulary Difficulty Prediction ↗Avinash Kumar Sharma
23. Effects of Varying LLM Access on Essay Writing Behavior ↗Julia Christenson, Karin de Langis, Shirley Anugrah Hayati et al.
24. Estimating LLM Grading Ability and Response Difficulty in Automatic Short Answer Grading via Item Response Theory ↗Longwei Cong, Sonja Hahn, Sebastian Gombert et al.
25. Evaluating LLM-Generated Formative Feedback for Undergraduate Mathematics Through the Lens of Feedback Theory ↗Aron Gohr, Marie-Amelie Lawn, Kevin Gao et al.
26. Failure at BEA 2026 Shared Task 1: One Pipeline, Three L1s: A Unified Language-Agnostic System for Vocabulary Difficulty Prediction ↗Abid Al Hossain, Kamruzzaman Khan Alve
27. Findings of the BEA 2026 Shared Task on Vocabulary Difficulty Prediction for English Learners ↗Mariano Felice, Lucy Skidmore
28. Fine-Grained Content Zone Prediction in German Argumentative Essays Using LLMs ↗Xiaoyu Bai, Manfred Stede
29. FinnGEC: Benchmarking Grammatical Error Correction for Finnish ↗Anh-Duc Vu, Mikhail Zolotilin, Jue Hou et al.
30. From Dialogue to Learner Modeling: Identifying Candidate Signals of Productive Use in LLM-Based Grammar Practice ↗Luisa Ribeiro-Flucht, Lanhua Huang, Xiaobin Chen
31. From Metrics to Meaning: Rule-Grounded LLM Explanations for Data Literacy in the Case of Youth Football ↗Tomasz Piłka, Tomasz Kuczyński, Mateusz Czajka
32. From Questions to Assessment Tuples: A Multi-Agent Framework with Bloom-Specialized Agents and Automated Verification ↗Gee-Lyle Wong, Runcong Zhao, Yulan He et al.
33. Generative-Evaluative Agreement: A Necessary Validity Criterion for LLM-Enabled Adaptive Assessment ↗Grandee Lee, Yue Wang, Che Yee Lye et al.
34. Glite at BEA 2026 Shared Task 1: Holistic Difficulty Models Dominate, Feature Engineering Closes the Gap in L1-Aware Vocabulary Difficulty Prediction ↗Vassili Philippov, Dmitrii Andreev, Pavel Katunin et al.
35. HFT at BEA 2026 Shared Task 2: Blunt-Edge Models for Hybrid Grading ↗Ulrike Pado
36. IWM-DKM at BEA 2026 Shared Task 2: Supplementing Supervised Fine-Tuning for Rubric-Based Short Answer Scoring ↗Kate Belcher, Marius De Kuthy Meurers, Kordula De Kuthy et al.
37. Incentives Of EdTech: A Systematic Review Of EduNLP Research ↗Gabrielle Gaudeau, Aoife O'Driscoll, Jasper Degraeuwe et al.
38. Inferring Student Engagement via Real-Time Thermal–Visual Voice Activity Detection ↗Bradley Goodman
39. Instruction-Following LLMs for Grammatical Error Correction: Analyzing Neutral-Anchored Instructional Sensitivity Across Editing Modes ↗Tolgahan Türker, Gülşen Eryiğit
40. Intent vs. Surface: Recovering Acoustic Realization from Modern ASR for Pronunciation Training ↗Seongjin Park
41. Interpretable Difficulty-Aware Knowledge Tracing in Tutor-Student Dialogues ↗Shuyan Huang, Alexander Scarlatos, Jaewook Lee et al.
42. Investigating Context-aware CTC for Pronunciation Assessment: Mitigating Peaky Behavior and Context Independency Assumption ↗Jiun-Ting Li, Tien-Hong Lo, Bi-Cheng Yan et al.
43. Jinnie's Lab at BEA 2026 Shared Task 1: Precalibration of Vocabulary Item Difficulty with Multilingual Transformers and Multi-Task Learning ↗Zhe Li, Pauline Aguinalde, Jinnie Shin
44. KEYSCORE –- Keystroke-enhanced Automated Essay Scoring ↗Nils-Jonathan Schaller, Daniel Mora Melanchthon, Thorben Jansen et al.
45. Kelvi: A Morphological Parser to Support Tamil Literacy ↗Shankhalika Srikanth, Sabrina Yu, Sophia Chan et al.
46. LLM-Powered but Rule-Grounded: Pedagogically Relevant Grammatical Error Characterization for Learner Model Construction ↗Soroosh Akef, Amália Mendes, Patrick Rebuschat et al.
47. Letting Tutor Personas Speak Up for LLMs: Learning Steering Vectors from Dialogue via Preference Optimization ↗Jaewook Lee, Alexander Scarlatos, Simon Woodhead et al.
48. Measuring Optimal Challenge: Trajectory-Based Difficulty Alignment in Open-Ended Language Tutoring ↗Ziqi Shu, Shuman Wang, Michael Hardy
49. Multi-component student writing profiles for expert-aligned automated evaluation of English learner essays. ↗Russell Moore, Andrew Caines, Paula Buttery
50. Multi-step Large Language Model for Fine-Grained Feedback in Stepwise Linear Equation Solutions ↗Imran Chamieh, Torsten Zesch, Klaus Giebermann
51. NLP-Explorers at BEA 2026 Shared Task 1: DeBERTa–CatBoost Weighted Ensemble Approach for L1-Specific Vocabulary Difficulty Prediction ↗Tayyab Latif, Asifa Bibi, Sabur Butt et al.
52. Noise Steering for Controlled Text Generation: Improving Diversity and Reading-Level Fidelity in Arabic Educational Story Generation ↗Haziq Khalid, Salsabeel Shapsough, Imran Zualkernan
53. Opportunities and Challenges of LLMs in Education: An NLP Perspective ↗Sowmya Vajjala, Bashar Alhafni, Stefano Banno et al.
54. PERSA: Reinforcement Learning for Professor-Style Personalized Feedback with LLMs ↗Ravi Kumar, Utkarsh Grover, Xiaomin Lin et al.
55. PeerMathDial: A Middle School Dialogue Dataset for Student Collaborative Math Problem Solving ↗Murong Yue, Desmond Mcglone, Emily Slutz et al.
56. Policy-Sensitive Fairness Evaluation in Automated Scoring of Clinical Communication ↗Saed Rezayi, Le An Ha, Victoria Yaneva et al.
57. Predicting Item Difficulty and Generating Reading Comprehension Items via an Annotated Repository ↗Radhika Kapoor, Mayank Sharma, Sang Truong et al.
58. Quality-Conditioned Agreement in Automated Short Answer Scoring: Mid-Range Degradation and the Impact of Task-Specific Adaptation ↗Abigail Gurin Schleifer, Moriah Ariely, Beata Beigman Klebanov et al.
59. RABIT: Rationale-Based Distillation Towards Interpretable Automatic Speaking Assessment via a Small Language Model ↗Bi-Cheng Yan, Hong-Yun Lin, Fu-An Chao et al.
60. RETUYT-INCO at BEA 2026 Shared Task 1: Feature-Enriched mDeBERTa for Word Difficulty Prediction ↗Santiago Robaina, Aiala Rosá, Luis Chiruzzo
61. RETUYT-INCO at BEA 2026 Shared Task 2: Meta-prompting in Rubric-based Scoring for German ↗Ignacio Sastre, Ignacio Remersaro, Facundo Díaz et al.
62. Report on the BEA 2026 Shared Task on Rubric-based Short Answer Scoring for German ↗Sebastian Gombert, Zhifan Sun, Fabian Zehner et al.
63. Retrieval-Augmented Tutoring for Algorithm Tracing and Problem-Solving in AI Education ↗Mragisha Jain, Tirth Bhatt, Griffin Pitts et al.
64. Rubrics as Semantic Subspaces: A Unified Approach to Rubric-based Constructed Response Scoring across Short Answers and Essays ↗Sebastian Gombert, Sonja Hahn, Nico Andersen et al.
65. SAAKTH at BEA 2026 Shared Task 1: L1-Aware English Vocabulary Difficulty Prediction with Hybrid Transformer and Psycholinguistic Features ↗Karthik Mattu, Adit Dhall, Arshad Naguru et al.
66. SATLab at BEA 2026 Shared Task 1: Predicting the Difficulty of English Words for Three L1 Learners Using Primarily Psycholinguistic Features ↗Yves Bestgen
67. SDPA at BEA 2026 Shared Task 2: Efficient LLM Fine-Tuning for Rubric-based Short Answer Scoring ↗Zhexiong Liu, Jing Zhang
68. Sakura at BEA 2026 Shared Task 1: What Makes Vocabulary Difficult? ↗Adam Nohejl, Xuanxin Wu, Yusuke Ide et al.
69. Sharing is Caring: Advantages of Sharing a Language Background with Learners as an Annotator of Learner Data in UD ↗Caroline Grand-Clement, Arianna Masciolini
70. SurreyCTS at BEA 2026 Shared Task 1: Semantic Funnelling and Entropy-based Multilingual Lexical Difficulty Prediction ↗Georgina Willoughby, Jordan Painter, Diptesh Kanojia et al.
71. TOEBM at BEA 2026 Shared Task 1: Improving Lexical Difficulty Prediction with Context-Aligned Contrastive Learning and Ridge Ensembling ↗Wicaksono Leksono Muhamad, Joanito Agili Lopo, Tsamarah Rana Nugraha et al.
72. Teaching Through Analogies: A Modular Pipeline for Educational Analogy Generation ↗Mariam Barakat, Ekaterina Kochmar
73. TeamXBC at BEA 2026 Shared Task 1: How AI (and I) won the shared task: Vibe and agentic coding solutions for practical machine learning problems ↗Xiaobin Chen
74. The Aftermath of DrawEduMath: Vision Language Models Underperform with Struggling Students and Misdiagnose Errors ↗Li Lucy, Albert Zhang, Nathan Anderson et al.
75. The Effects of Structured LLM-Generated Feedback on Programming Assignment Performance ↗Tsvetomila Mihaylova, Evanfiya Logacheva, Arto Hellas et al.
76. Theory of Mind and Application in Educational Context ↗Effat Farhana, Maha Zainab, Qiaosi Wang et al.
77. Through the Sentence Lens: Explainable Essay Scoring through Fine-Grained Predictions ↗Daniel Mora Melanchthon, Stefan Keller, Andrea Horbach
78. Token Titans at BEA 2026 Shared Task 1: Multilingual Lexical Complexity Prediction via Fine-Tuned XLM-RoBERTa with Ensemble Decoding ↗Anubhab Parashar, Sandeep Mathias
79. Toward Cross-Domain Automated Feedback: A Comparative Evaluation of Open-Source Models across Diverse Student Assessment Types ↗Muhammad Haseeb, Min Paing Hmue, Ahmad Imam Amjad et al.
80. Towards Just-in-Time Adaptive Feedback: Enhancing Student Learning via Knowledge-Grounded LLM ↗Younghun Lee, Amir Bralin, Nobel Sanjay Rebello et al.
81. Towards Pedagogically Aligned LLM Tutors for Math Mistake Remediation ↗Kseniia Petukhova, Tien Dat Nguyen, Ekaterina Kochmar
82. Towards Self-Referential Analytic Assessment: A Profile-Based Approach to L2 Writing Evaluation with LLMs ↗Stefano Banno, Kate Knill, Mark Gales
83. Transformer-based readability classifiers are worse than you think: Evidence from cross-domain Arabic readability assessment ↗Sarah Alzubi, Robert Reynolds
84. UGA Threshold at BEA 2026 Shared Task 1: Predicting Vocabulary Acquisition Difficulty with Hand-Crafted SLA-Based Features ↗Emma Dalbo
85. UOL@IDEM at BEA 2026 Shared Task 1: Neural Fusion and Feature-Rich Modeling for L1-Aware Vocabulary Difficulty Prediction ↗Nouran Khallaf, Serge Sharoff
86. Using Interaction Log Data to Evaluate and Improve Feedback Accuracy in an Intelligent Language Tutoring System ↗Mariia Soliar, Leona Colling, Stephen Bodnar et al.
87. Using LLMs for item creation: Validating the potential of automatically generated sentence repetition test items for language assessment ↗Sarah Löber, Björn Rudzewitz, Yuan Chu et al.
88. Using k-Shot Prompting with Large k for the Automated Scoring of a German Written Elicited Imitation Test ↗Malte Sternik, Ronja Laarmann-Quante, Anastasia Drackert
89. WSE Research at BEA 2026 Shared Task 2: Multi-Strategy Rubric-Based Short Answer Scoring for German ↗Jonas Gwozdz, Andreas Both
90. What Aggregate Scores Hide: Per-Rule Evaluation of Russian Grammatical Error Correction ↗Anna Smirnova, Artyom Kopan, Vladislav Makeev et al.
91. Zero Shot Phonics: Evaluating Constraint-Adherent Phonics Story Generation in Large Language Models ↗Maria Monica Manlises, Ethel Ong
92. uogal at BEA 2026 Shared Task 1: Ensemble of Multilingual Encoders with NMT Augmentation for L1-Aware Vocabulary Difficulty Prediction ↗Bernardo Stearns, John P. McCrae, Thomas Gaillat et al.

↑ back to top

This page in Markdown → https://md.research.elamur.ai/free/en/venues/bea/2026/papers/