EMNLP 2026
EMNLP 2026（Main）に下記の2本の論文が採択されました。
- Caixin Kang, Yifei Huang, Liangyang Ouyang, Mingfang Zhang, Ruicong Liu, and Yoichi Sato, “Can MLLMs Read the Room? A Multimodal Benchmark for Assessing Deception in Multi-Party Social Interactions”, to appear in the 2026 Conference on Empirical Methods in Natural Language Processing (EMNLP 2026 Main), October 2026.
- Changbeen Kim, Junwon Chang, Kipyo Kim, Risa Shinoda, Kuniaki Saito, and Donghyun Kim, “VidOmni-Bench: A Benchmark for Fine-Grained Video Understanding via Spatio-Temporal Event Verification across Complexity and Duration”, to appear in the 2026 Conference on Empirical Methods in Natural Language Processing (EMNLP 2026 Main), October 2026.