Light, Jonathan

8 publications

NeurIPS 2025 DISC: Dynamic Decomposition Improves LLM Inference Scaling Jonathan Light, Wei Cheng, Benjamin Riviere, Yue Wu, Masafumi Oyamada, Mengdi Wang, Yisong Yue, Santiago Paternain, Haifeng Chen

ICLRW 2025 DISC: Dynamic Decomposition Improves LLM Inference Scaling Jonathan Light, Wei Cheng, Yue Wu, Masafumi Oyamada, Mengdi Wang, Santiago Paternain, Haifeng Chen

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

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

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

NeurIPSW 2024 Reasoning in Reasoning: A Hierarchical Framework for Better and Faster Neural Theorem Proving Ziyu Ye, Jiacheng Chen, Jonathan Light, Yifei Wang, Jiankai Sun, Mac Schwager, Philip Torr, Guohao Li, Yuxin Chen, Kaiyu Yang, Yisong Yue, Ziniu Hu

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

NeurIPSW 2023 AvalonBench: Evaluating LLMs Playing the Game of Avalon Jonathan Light, Min Cai, Sheng Shen, Ziniu Hu