Dong, Honghua

10 publications

ICLRW 2025 LM Agents May Fail to Act on Their Own Risk Knowledge Yuzhi Tang, Tianxiao Li, Elizabeth Li, Chris J. Maddison, Honghua Dong, Yangjun Ruan

ICML 2025 TypyBench: Evaluating LLM Type Inference for Untyped Python Repositories Honghua Dong, Jiacheng Yang, Xun Deng, Yuhe Jiang, Gennady Pekhimenko, Fan Long, Xujie Si

ICLRW 2025 TypyBench: Evaluating LLM Type Inference for Untyped Python Repositories Yuhe Jiang, Xun Deng, Jiacheng Yang, Honghua Dong, Gennady Pekhimenko, Fan Long, Xujie Si

ICLRW 2024 Enhancing and Evaluating Logical Reasoning Abilities of Large Language Models Shujie Deng, Honghua Dong, Xujie Si

ICLR 2024 Identifying the Risks of LM Agents with an LM-Emulated Sandbox Yangjun Ruan, Honghua Dong, Andrew Wang, Silviu Pitis, Yongchao Zhou, Jimmy Ba, Yann Dubois, Chris J. Maddison, Tatsunori Hashimoto

NeurIPSW 2023 Identifying the Risks of LM Agents with an LM-Emulated Sandbox Yangjun Ruan, Honghua Dong, Andrew Wang, Silviu Pitis, Yongchao Zhou, Jimmy Ba, Yann Dubois, Chris J. Maddison, Tatsunori Hashimoto

NeurIPS 2023 MeGraph: Capturing Long-Range Interactions by Alternating Local and Hierarchical Aggregation on Multi-Scaled Graph Hierarchy Honghua Dong, Jiawei Xu, Yu Yang, Rui Zhao, Shiwen Wu, Chun Yuan, Xiu Li, Chris J Maddison, Lei Han

ICLR 2019 Neural Logic Machines Honghua Dong, Jiayuan Mao, Tian Lin, Chong Wang, Lihong Li, Denny Zhou

AAAI 2019 Robust Multi-Agent Reinforcement Learning via Minimax Deep Deterministic Policy Gradient Shihui Li, Yi Wu, Xinyue Cui, Honghua Dong, Fei Fang, Stuart Russell

ICLR 2018 Universal Agent for Disentangling Environments and Tasks Jiayuan Mao, Honghua Dong, Joseph J. Lim