📰 BEA 2026 — accepted papers

BEA 2026 is the 2026 edition of the Workshop on Innovative Use of NLP for Building Educational Applications (BEA), held in San Diego, California, USA, July 2026 (publisher: Association for Computational Linguistics). The ACL Anthology lists 92 papers of it; our library holds 1 with our summaries. Below: the most cited papers, every accepted paper, and ours with their topics, authors and institutions.

📍 San Diego, California, United States · 🗓 July 2026

Most cited papers

By their OpenAlex citations; a paper with our summary links to its page here, the others to the original.

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

All accepted papers (92)

The most cited first; 1 with our summary link to their page here, the others to the original.

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.

See all 92 papers in BEA 2026 — accepted papers →

📄 Papers with our summary in our library (1)

The most cited first (OpenAlex citations plus our library's).

1. 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.2026 · 1 citation

🧭 Top topics

Topics of its works in our library, with the number of works on each.

🧠Language models & pretraining (1)✍️Text generation (1)English (1)

📚 Fields

🎭Arts and Humanities (1)🖥️Computer Science (1)

🧑‍🔬 Top authors

Authors with a page who published here most often: their works here, and the citations of those works.

🏛️ Top institutions

Institutions on the bylines of its works here, by the number of works.

🎓University of FloridaGainesville · United States1 work here

Place and dates from the event's site or the ACL Anthology; works and citations from OpenAlex and our library.

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