---
title: "BEA 2026 — accepted papers — Elamur Research"
description: "BEA 2026 — accepted papers: 1 paper in the Elamur Research library (San Diego, California, USA), with our summaries, ranked by citations."
canonical: "https://research.elamur.ai/free/en/venues/bea/2026/"
---
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# 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](https://md.research.elamur.ai/free/en/countries/united-states/) · 🗓 July 2026

[**92** papers in the proceedings](#all) · [**1** work in our library](https://md.research.elamur.ai/free/en/venues/bea/2026/#works) · [**1** citations of these works](https://md.research.elamur.ai/free/en/venues/bea/2026/#works)

## 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 ↗](https://aclanthology.org/2026.bea-1.4/)**Wen Liang, Li Siyan, Zackary Rackauckas et al.*1 citation*
2. **[Evaluating Adaptive Personalization of Educational Readings with Simulated Learners ↗](https://aclanthology.org/2026.bea-1.63/)**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 ↗](https://aclanthology.org/2026.bea-1.12/)**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 ↗](https://aclanthology.org/2026.bea-1.4/)**Wen Liang, Li Siyan, Zackary Rackauckas et al.*1 citation*
2. **[Evaluating Adaptive Personalization of Educational Readings with Simulated Learners ↗](https://aclanthology.org/2026.bea-1.63/)**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 ↗](https://aclanthology.org/2026.bea-1.12/)**Christopher Runyon, Peter Baldwin, Ian Micir et al.*1 citation*
4. **[A Bigger Catch: Fine-Grained Curriculum Standards Alignment on the MathFish Benchmark ↗](https://aclanthology.org/2026.bea-1.15/)**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 ↗](https://aclanthology.org/2026.bea-1.72/)**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 ↗](https://aclanthology.org/2026.bea-1.89/)**Alistair Willis, Aisling Third
7. **[ASLAN at BEA 2026 Shared Task 2: Voting Across Scoring Paradigms ↗](https://aclanthology.org/2026.bea-1.87/)**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 ↗](https://aclanthology.org/2026.bea-1.18/)**Jordan Esiason, Priyanka Khare, Wookhee Min et al.
9. **[Assessment of L2 speech global dimensions using large audio language models ↗](https://aclanthology.org/2026.bea-1.49/)**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 ↗](https://aclanthology.org/2026.bea-1.74/)**Jonas Mayer Martins, Zhuojing Huang, Aaricia Herygers et al.
11. **[Challenges in Machine Translation of Interactive Multimodal Exercises ↗](https://aclanthology.org/2026.bea-1.11/)**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 Safety](https://md.research.elamur.ai/free/en/papers/shen-2026-children-s-english-reading-story/)**Qian Shen, Fanghua Cao, Min Yao et al.*our summary*
13. **[Classification of Student Struggle in Mathematics ↗](https://aclanthology.org/2026.bea-1.36/)**Hannah Levin, Madhura Padwal, Nchimunya Mwiinga
14. **[Comparative Evaluation of AI-Generated vs. Expert-written Answer Explanations for a Medical Education Self-Assessment ↗](https://aclanthology.org/2026.bea-1.31/)**Yiyun Zhou, Francis O'Donnell, Victoria Yaneva
15. **[Confirming Correct, Missing the Rest: LLM Tutoring Agents Struggle Where Feedback Matters Most ↗](https://aclanthology.org/2026.bea-1.56/)**Tahreem Yasir, Wenbo Li, Sam Gilson et al.
16. **[Criterial Features in German: Towards Interpretable NLP in Readability Assessment ↗](https://aclanthology.org/2026.bea-1.6/)**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 ↗](https://aclanthology.org/2026.bea-1.82/)**Adrian Pineda, Sabur Butt, Héctor Ceballos Cancino
18. **[Data-lean fine-tuning of models for evaluating teacher performance in a GenAI-led elicitation simulation ↗](https://aclanthology.org/2026.bea-1.38/)**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 ↗](https://aclanthology.org/2026.bea-1.45/)**Shirin Lade, Alistair Willis, Jonathan Nylk et al.
20. **[Edit-level Majority Voting Mitigates Over-Correction in LLM-based Grammatical Error Correction ↗](https://aclanthology.org/2026.bea-1.60/)**Takumi Goto, Yusuke Sakai, Taro Watanabe
21. **[EduMUSE: A Multimodal Educational Dataset with Automatically Extracted Instructional Context ↗](https://aclanthology.org/2026.bea-1.25/)**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 ↗](https://aclanthology.org/2026.bea-1.71/)**Avinash Kumar Sharma
23. **[Effects of Varying LLM Access on Essay Writing Behavior ↗](https://aclanthology.org/2026.bea-1.48/)**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 ↗](https://aclanthology.org/2026.bea-1.19/)**Longwei Cong, Sonja Hahn, Sebastian Gombert et al.
25. **[Evaluating LLM-Generated Formative Feedback for Undergraduate Mathematics Through the Lens of Feedback Theory ↗](https://aclanthology.org/2026.bea-1.55/)**Aron Gohr, Marie-Amelie Lawn, Kevin Gao et al.

[See all 92 papers in BEA 2026 — accepted papers →](https://md.research.elamur.ai/free/en/venues/bea/2026/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 Safety**Qian Shen, Fanghua Cao, Min Yao, et al.*2026 · 1 citation*](https://md.research.elamur.ai/free/en/papers/shen-2026-children-s-english-reading-story/)

## Top topics

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

[Language models & pretraining (1)](https://md.research.elamur.ai/free/en/topics/language-models/) · [Text generation (1)](https://md.research.elamur.ai/free/en/topics/text-generation/) · [English (1)](https://md.research.elamur.ai/free/en/topics/english/)

## Fields

[Arts and Humanities (1)](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Computer Science (1)](https://md.research.elamur.ai/free/en/shelves/computer-science/)

## Top authors

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

[🧑‍🔬**Bonnie Dorr**1 work here · 1 citation](https://md.research.elamur.ai/free/en/authors/bonnie-dorr/) · [🧑‍🔬**Qian Shen**1 work here · 1 citation](https://md.research.elamur.ai/free/en/authors/qian-shen/) · [🧑‍🔬**Walter Leite**1 work here · 1 citation](https://md.research.elamur.ai/free/en/authors/walter-leite/)

## Top institutions

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

[🎓**University of Florida** Gainesville · United States 1 work here](https://md.research.elamur.ai/free/en/universities/university-of-florida/)

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

- [← previous BEA 2024](https://md.research.elamur.ai/free/en/venues/bea/2024/)
- [↑ back to BEA](https://md.research.elamur.ai/free/en/venues/bea/)