EMNLP2026 に論文が採択されました

荒瀬研が関係する2本の論文がEMNLP 2026 Main conferenceに、3本の論文がEMNLP 2026 Findingsに採択されました！

EMNLP 2026 Main conference

1. T. White and Y. Arase. 2026. FreqBLiMP: Frequency-Controlled Minimal Pairs Reveal Robustness and Fragility of LLMs Under Lexical Rarity, in Proc. of Conference on Empirical Methods in Natural Language Processing (EMNLP 2026 to appear).

2. T. Naous, A. Savit, C. Rafael Catalan, G. Guo, J. Lee, K. Lee, L. M. Dizon, M. Ye, N. Kothari, S. Singh, S. Masud, T. Patwa, T. T. Tran, Z. Khan, A. Ritter, T. Chakraborty, Y. Arase, K. Sakaguchi, J. Bak, W. Xu. 2026. Camellia: Benchmarking Cultural Biases in LLMs for Asian Languages, in Proc. of Conference on Empirical Methods in Natural Language Processing (EMNLP 2026 to appear).

EMNLP 2026 Findings

3. H. Huang, M. Yang, and Y. Arase. 2026. AEScorer: An Agentic Evidence-Grounded Framework for Graded Factuality Verification. in Findings of the Association for Computational Linguistics: EMNLP (Oct. 2026 to appear).

4. Y. Fujiwara, R. Miyata, T. Kajiwara, and Y. Arase. 2026. Continuous Difficulty Control for Text Simplification, in Findings of the Association for Computational Linguistics: EMNLP (Oct. 2026 to appear).

5. K. Kobayashi, Y. Yamagishi, R. Shibaki, A. Sakai, T. Kodama, L. Gu, I. Li, Y. Arase, A. Aizawa, and S. Kurohashi. 2026. Stabilizing Hard-Negative Preference Optimization for Medical LLMs, in Findings of the Association for Computational Linguistics: EMNLP (Oct. 2026 to appear).