3 papers
cs.CL2026
Preference Estimation via Opponent Modeling in Multi-Agent Negotiation
Yuta Konishi, Kento Yamamoto, Eisuke Sonomoto +8
Automated negotiation in complex, multi-party and multi-issue settings critically depends on accurate opponent modeling. However, conventional numerical-only approaches fail to cap…
cs.AI2025
Proceedings of the 20th International Conference on Knowledge, Information and Creativity Support Systems (KICSS 2025)
Edited by Tessai Hayama, Takayuki Ito, Takahiro Uchiya +10
This volume presents the proceedings of the 20th International Conference on Knowledge, Information and Creativity Support Systems (KICSS 2025), held in Nagaoka, Japan, on December…
cs.CL2025
YNTP-100: A Benchmark for Your Next Token Prediction with 100 People
Shiyao Ding, Takayuki Ito
Large language models (LLMs) trained for general \textit{next-token prediction} often fail to generate responses that reflect how specific individuals communicate. Progress on pers…