Wanjun Gu — accepted AI-conference papers

2025

Learning Strategic Language Agents in the Werewolf Game with Iterative Latent Space Policy Optimization

Zelai Xu, Wanjun Gu, Chao Yu, Yi Wu, Yu Wang

ICML 2025poster

Large language model (LLM) agents have recently demonstrated impressive capabilities in various domains like open-ended conversation and multi-step decision-making. However, it remains challenging for these agents to solve strategic language games, such as Werewolf, which demand both strategic decis…

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2025

LongCite: Enabling LLMs to Generate Fine-grained Citations in Long-Context QA

Jiajie Zhang, Yushi Bai, Xin Lv, Wanjun Gu, Danqing Liu, Minhao Zou +5

ACL 2025finding

Though current long-context large language models (LLMs) have demonstrated impressive capacities in answering various questions based on extensive text, the lack of citations in their responses makes user verification difficult, leading to concerns about their trustworthiness due to the potential ha…

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