Jonathan Light

According to our database, Jonathan Light authored at least 14 papers between 2023 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Actor-Curator: Co-adaptive Curriculum Learning via Policy-Improvement Bandits for RL Post-Training.

Zhengyao Gu, Jonathan Light, Raul Astudillo, Ziyu Ye, Langzhou He, Henry Peng Zou, Wei Cheng, Santiago Paternain, Philip S. Yu, Yisong Yue

CoRR, February, 2026

2025

Simple Agents Outperform Experts in Biomedical Imaging Workflow Optimization.

Xuefei Wang, Kai A. Horstmann, Ethan Lin, Jonathan Chen, Alexander R. Farhang, Sophia Stiles, Atharva Sehgal, Jonathan Light, David Van Valen, Yisong Yue, Jennifer J. Sun

CoRR, December, 2025

TDRM: Smooth Reward Models with Temporal Difference for LLM RL and Inference.

Dan Zhang, Min Cai, Jonathan Light, Ziniu Hu, Yisong Yue, Jie Tang

CoRR, September, 2025

DISC: Dynamic Decomposition Improves LLM Inference Scaling.

Jonathan Light, Wei Cheng, Yue Wu, Masafumi Oyamada, Mengdi Wang, Santiago Paternain, Haifeng Chen

CoRR, February, 2025

Diversified Sampling Improves Scaling LLM inference.

Tianchun Wang, Zichuan Liu, Yuanzhou Chen, Jonathan Light, Haifeng Chen, Xiang Zhang, Wei Cheng

CoRR, February, 2025

Unifying and Optimizing Data Values for Selection via Sequential-Decision-Making.

Hongliang Chi, Qiong Wu, Zhengyi Zhou, Jonathan Light, Emily Dodwell, Yao Ma

CoRR, February, 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

Proceedings of the Thirteenth International Conference on Learning Representations, 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

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

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

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

CoRR, 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

CoRR, 2024

Dataset Distillation for Offline Reinforcement Learning.

Jonathan Light, Yuanzhe Liu, Ziniu Hu

CoRR, 2024

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

From Text to Tactic: Evaluating LLMs Playing the Game of Avalon.

Jonathan Light, Min Cai, Sheng Shen, Ziniu Hu

CoRR, 2023