From Text to Tactic: Evaluating LLMs Playing the Game of Avalon. - Jonathan Light; Min Cai; Sheng Shen 001; Ziniu Hu (CoRR, 2023)

A Data-Centric Online Market for Machine Learning: From Discovery to Pricing. - Minbiao Han; Jonathan Light; Steven Xia; Sainyam Galhotra; Raul Castro Fernandez; Haifeng Xu (CoRR, 2023)

Dataset Distillation for Offline Reinforcement Learning. - Jonathan Light; Yuanzhe Liu 001; Ziniu Hu (CoRR, 2024)

Strategist: Learning Strategic Skills by LLMs via Bi-Level Tree Search. - Jonathan Light; Min Cai; Weiqin Chen 003; Guanzhi Wang; Xiusi Chen; Wei Cheng; Yisong Yue; Ziniu Hu (CoRR, 2024)

Scattered Forest Search: Smarter Code Space Exploration with LLMs. - Jonathan Light; Yue Wu; Yiyou Sun; Wenchao Yu; Yanchi Liu; Xujiang Zhao; Ziniu Hu; Haifeng Chen; Wei Cheng 002 (CoRR, 2024)

PIANIST: Learning Partially Observable World Models with LLMs for Multi-Agent Decision Making. - Jonathan Light; Sixue Xing; Yuanzhe Liu 001; Weiqin Chen 003; Min Cai; Xiusi Chen; Guanzhi Wang; Wei Cheng; Yisong Yue; Ziniu Hu (CoRR, 2024)

Strategist: Self-improvement of LLM Decision Making via Bi-Level Tree Search. - Jonathan Light; Min Cai; Weiqin Chen 003; Guanzhi Wang; Xiusi Chen; Wei Cheng; Yisong Yue; Ziniu Hu (ICLR, 2025)

SFS: Smarter Code Space Search improves LLM Inference Scaling. - Jonathan Light; Yue Wu; Yiyou Sun; Wenchao Yu; Yanchi Liu; Xujiang Zhao; Ziniu Hu; Haifeng Chen; Wei Cheng 002 (ICLR, 2025)

Unifying and Optimizing Data Values for Selection via Sequential-Decision-Making. - Hongliang Chi; Qiong Wu 008; Zhengyi Zhou; Jonathan Light; Emily Dodwell; Yao Ma 001 (CoRR, 2025)

Diversified Sampling Improves Scaling LLM inference. - Tianchun Wang; Zichuan Liu; Yuanzhou Chen; Jonathan Light; Haifeng Chen; Xiang Zhang 001; Wei Cheng 002 (CoRR, 2025)

DISC: Dynamic Decomposition Improves LLM Inference Scaling. - Jonathan Light; Wei Cheng 002; Yue Wu; Masafumi Oyamada; Mengdi Wang; Santiago Paternain; Haifeng Chen (CoRR, 2025)