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Our paper has been accepted by EMNLP 2026 (Main Conference and Findings).

   Aug 22, 2026     1 min read

Two papers from our laboratory have been accepted for the EMNLP 2026 Main Conference, and three papers for the EMNLP 2026 Findings!

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

  1. 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).

  2. 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).

  3. 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).