Papers by Shiyao Ding
Preference Estimation via Opponent Modeling in Multi-Agent Negotiation (2026.findings-acl)
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Yuta Konishi, Kento Yamamoto, Eisuke Sonomoto, Rikuho Takeda, Ryo Furukawa, Yusuke Muraki, Takafumi Shimizu, Kazuma Fukumura, Yuya Kanemoto, Takayuki Ito, Shiyao Ding
| Challenge: | Existing numerical-only approaches fail to capture qualitative information embedded in natural language interactions, resulting in unstable and incomplete preference estimation. |
| Approach: | They propose a preference estimation method that integrates natural language information into a Bayesian opponent modeling framework. |
| Outcome: | The proposed method improves agreement rate and preference estimation accuracy by integrating probabilistic reasoning with natural language understanding. |