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Jonathan Light
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2020 – today
- 2025
- [c2]Jonathan Light, Min Cai, Weiqin Chen, Guanzhi Wang, Xiusi Chen, Wei Cheng, Yisong Yue, Ziniu Hu:
Strategist: Self-improvement of LLM Decision Making via Bi-Level Tree Search. ICLR 2025 - [c1]Jonathan Light, Yue Wu, Yiyou Sun, Wenchao Yu, Yanchi Liu, Xujiang Zhao, Ziniu Hu, Haifeng Chen, Wei Cheng:
SFS: Smarter Code Space Search improves LLM Inference Scaling. ICLR 2025 - [i9]Hongliang Chi, Qiong Wu, Zhengyi Zhou, Jonathan Light, Emily Dodwell, Yao Ma:
Unifying and Optimizing Data Values for Selection via Sequential-Decision-Making. CoRR abs/2502.04554 (2025) - [i8]Tianchun Wang, Zichuan Liu, Yuanzhou Chen, Jonathan Light, Haifeng Chen, Xiang Zhang, Wei Cheng:
Diversified Sampling Improves Scaling LLM inference. CoRR abs/2502.11027 (2025) - [i7]Jonathan Light, Wei Cheng, Yue Wu, Masafumi Oyamada, Mengdi Wang, Santiago Paternain, Haifeng Chen:
DISC: Dynamic Decomposition Improves LLM Inference Scaling. CoRR abs/2502.16706 (2025) - 2024
- [i6]Jonathan Light, Yuanzhe Liu, Ziniu Hu:
Dataset Distillation for Offline Reinforcement Learning. CoRR abs/2407.20299 (2024) - [i5]Jonathan Light, Min Cai, Weiqin Chen, Guanzhi Wang, Xiusi Chen, Wei Cheng, Yisong Yue, Ziniu Hu:
Strategist: Learning Strategic Skills by LLMs via Bi-Level Tree Search. CoRR abs/2408.10635 (2024) - [i4]Jonathan Light, Yue Wu, Yiyou Sun, Wenchao Yu, Yanchi Liu, Xujiang Zhao, Ziniu Hu, Haifeng Chen, Wei Cheng:
Scattered Forest Search: Smarter Code Space Exploration with LLMs. CoRR abs/2411.05010 (2024) - [i3]Jonathan Light, Sixue Xing, Yuanzhe Liu, Weiqin Chen, Min Cai, Xiusi Chen, Guanzhi Wang, Wei Cheng, Yisong Yue, Ziniu Hu:
PIANIST: Learning Partially Observable World Models with LLMs for Multi-Agent Decision Making. CoRR abs/2411.15998 (2024) - 2023
- [i2]Jonathan Light, Min Cai, Sheng Shen, Ziniu Hu:
From Text to Tactic: Evaluating LLMs Playing the Game of Avalon. CoRR abs/2310.05036 (2023) - [i1]Minbiao Han, Jonathan Light, Steven Xia, Sainyam Galhotra, Raul Castro Fernandez, Haifeng Xu:
A Data-Centric Online Market for Machine Learning: From Discovery to Pricing. CoRR abs/2310.17843 (2023)
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