---
title: "Who cites Findings of the BEA 2026 Shared — 9 citing papers"
description: "9 papers of the Elamur Research library cite «Findings of the BEA 2026 Shared Task on Vocabulary Difficulty Prediction for English…"
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# Who cites «Findings of the BEA 2026 Shared Task on Vocabulary Difficulty Prediction for English Learners»

9 papers of our library cite it (of the 149,439 whose bibliographies we read) · 7 with a page here, the most cited first · [← back to «Findings of the BEA 2026 Shared Task on Vocabulary Difficulty Prediction for English Learners»](https://md.research.elamur.ai/free/en/papers/felice-2026-findings-bea-2026-shared-task/)

1. **[Glite at BEA 2026 Shared Task 1: Holistic Difficulty Models Dominate, Feature Engineering Closes the Gap in L1-Aware Vocabulary Difficulty Prediction](https://md.research.elamur.ai/free/en/papers/philippov-2026-glite-bea-2026-shared-task/) [Workshop on Innovative Use of NLP for Building Educational Applications (BEA)](https://md.research.elamur.ai/free/en/venues/bea/)**Vassili Philippov, Dmitrii Andreev, Pavel Katunin, et al.*2026 · 2 citations*
2. **[Data Asgardians at BEA 2026 Shared Task 1: A Hybrid Transformer–Feature Ensemble for L1-Aware English Vocabulary Difficulty Prediction](https://md.research.elamur.ai/free/en/papers/pineda-2026-data-asgardians-bea-2026-shared/) [Workshop on Innovative Use of NLP for Building Educational Applications (BEA)](https://md.research.elamur.ai/free/en/venues/bea/)**Adrian Pineda, Sabur Butt, Héctor Ceballos Cancino*2026 · 1 citation*
3. **[EduNLP at BEA 2026 Shared Task 1: Multi-Model Ensemble with Feature-Augmented Transformers for Vocabulary Difficulty Prediction](https://md.research.elamur.ai/free/en/papers/sharma-2026-edunlp-bea-2026-shared-task/) [Workshop on Innovative Use of NLP for Building Educational Applications (BEA)](https://md.research.elamur.ai/free/en/venues/bea/)**Avinash Kumar Sharma*2026 · 1 citation*
4. **[RETUYT-INCO at BEA 2026 Shared Task 1: Feature-Enriched mDeBERTa for Word Difficulty Prediction](https://md.research.elamur.ai/free/en/papers/robaina-2026-retuyt-inco-bea-2026-shared/) [Workshop on Innovative Use of NLP for Building Educational Applications (BEA)](https://md.research.elamur.ai/free/en/venues/bea/)**Santiago Robaina, Aiala Rosá, Luis Chiruzzo*2026 · 1 citation*
5. **[SAAKTH at BEA 2026 Shared Task 1: L1-Aware English Vocabulary Difficulty Prediction with Hybrid Transformer and Psycholinguistic Features](https://md.research.elamur.ai/free/en/papers/mattu-2026-saakth-bea-2026-shared-task/) [Workshop on Innovative Use of NLP for Building Educational Applications (BEA)](https://md.research.elamur.ai/free/en/venues/bea/)**Karthik Mattu, Adit Dhall, Arshad Naguru, et al.*2026 · 1 citation*
6. **[Sakura at BEA 2026 Shared Task 1: What Makes Vocabulary Difficult?](https://md.research.elamur.ai/free/en/papers/nohejl-2026-sakura-bea-2026-shared-task/) [Workshop on Innovative Use of NLP for Building Educational Applications (BEA)](https://md.research.elamur.ai/free/en/venues/bea/)**Adam Nohejl, Xuanxin Wu, Yusuke Ide, et al.*2026 · 1 citation*
7. **[SATLab at BEA 2026 Shared Task 1: Predicting the Difficulty of English Words for Three L1 Learners Using Primarily Psycholinguistic Features](https://md.research.elamur.ai/free/en/papers/bestgen-2026-satlab-bea-2026-shared-task/) [Workshop on Innovative Use of NLP for Building Educational Applications (BEA)](https://md.research.elamur.ai/free/en/venues/bea/)**Yves Bestgen*2026 · 1 citation*

2 more papers of our library cite it; they have no page here yet.

- [← back to](https://md.research.elamur.ai/free/en/papers/felice-2026-findings-bea-2026-shared-task/) — Findings of the BEA 2026 Shared Task on Vocabulary Difficulty Prediction for English Learners