Honghua Dong

19 papers A* 4Journal 12Unranked 3
YearRankTypeTitle / Venue / Authors
2026 J jnl
Grounded Chess Reasoning in Language Models via Master Distillation.
CoRR
Zhenwei Tang, Qianfeng Wen, Seth Grief-Albert, Yahya Elgabra, Blair Yang, Honghua Dong, Ashton Anderson
2026 J jnl
SWE-Bench Mobile: Can Large Language Model Agents Develop Industry-Level Mobile Applications?
CoRR
Muxin Tian, Zhe Wang, Blair Yang, Zhenwei Tang, Kunlun Zhu, Honghua Dong, Hanchen Li, Xinni Xie, Guangjing Wang, Jiaxuan You
2025 — conf
APPL: A Prompt Programming Language for Harmonious Integration of Programs and Large Language Model Prompts.
ACL (1)
Honghua Dong, Qidong Su, Yubo Gao, Zhaoyu Li, Yangjun Ruan, Gennady Pekhimenko, Chris J. Maddison, Xujie Si
2025 J jnl
LM Agents May Fail to Act on Their Own Risk Knowledge.
CoRR
Yuzhi Tang, Tianxiao Li, Elizabeth Li, Chris J. Maddison, Honghua Dong, Yangjun Ruan
2025 A* conf
TypyBench: Evaluating LLM Type Inference for Untyped Python Repositories.
ICML
Honghua Dong, Jiacheng Yang, Xun Deng, Yuhe Jiang, Gennady Pekhimenko, Fan Long, Xujie Si
2025 J jnl
TypyBench: Evaluating LLM Type Inference for Untyped Python Repositories.
CoRR
Honghua Dong, Jiacheng Yang, Xun Deng, Yuhe Jiang, Gennady Pekhimenko, Fan Long, Xujie Si
2025 J jnl
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CoRR
Victor Barres, Honghua Dong, Soham Ray, Xujie Si, Karthik Narasimhan
2024 J jnl
APPL: A Prompt Programming Language for Harmonious Integration of Programs and Large Language Model Prompts.
CoRR
Honghua Dong, Qidong Su, Yubo Gao, Zhaoyu Li, Yangjun Ruan, Gennady Pekhimenko, Chris J. Maddison, Xujie Si
2024 J jnl
Assessing Code Generation with Intermediate Languages.
CoRR
Xun Deng, Sicheng Zhong, Honghua Dong, Jingyu Hu, Sidi Mohamed Beillahi, Xujie Si, Fan Long
2024 A* conf
Identifying the Risks of LM Agents with an LM-Emulated Sandbox.
ICLR
Yangjun Ruan, Honghua Dong, Andrew Wang, Silviu Pitis, Yongchao Zhou, Jimmy Ba, Yann Dubois, Chris J. Maddison, Tatsunori Hashimoto
2024 J jnl
The Fittest Wins: A Multistage Framework Achieving New SOTA in ViZDoom Competition.
IEEE Trans. Games
Shuxing Li, Jiawei Xu, Honghua Dong, Yu Yang, Chun Yuan, Peng Sun, Lei Han
2023 J jnl
Blocker and Matcher Can Mutually Benefit: A Co-Learning Framework for Low-Resource Entity Resolution.
Proc. VLDB Endow.
Shiwen Wu, Qiyu Wu, Honghua Dong, Wen Hua, Xiaofang Zhou
2023 J jnl
Identifying the Risks of LM Agents with an LM-Emulated Sandbox.
CoRR
Yangjun Ruan, Honghua Dong, Andrew Wang, Silviu Pitis, Yongchao Zhou, Jimmy Ba, Yann Dubois, Chris J. Maddison, Tatsunori Hashimoto
2023 A* conf
MeGraph: Capturing Long-Range Interactions by Alternating Local and Hierarchical Aggregation on Multi-Scaled Graph Hierarchy.
NeurIPS
Honghua Dong, Jiawei Xu, Yu Yang, Rui Zhao, Shiwen Wu, Chun Yuan, Xiu Li, Chris J. Maddison, Lei Han
2020 J jnl
The Scattering Compositional Learner: Discovering Objects, Attributes, Relationships in Analogical Reasoning.
CoRR
Yuhuai Wu, Honghua Dong, Roger B. Grosse, Jimmy Ba
2019 — conf
Neural Logic Machines.
ICLR (Poster)
Honghua Dong, Jiayuan Mao, Tian Lin, Chong Wang, Lihong Li, Denny Zhou
2019 J jnl
Neural Logic Machines.
CoRR
Honghua Dong, Jiayuan Mao, Tian Lin, Chong Wang, Lihong Li, Denny Zhou
2019 A* conf
Robust Multi-Agent Reinforcement Learning via Minimax Deep Deterministic Policy Gradient.
AAAI
Shihui Li, Yi Wu, Xinyue Cui, Honghua Dong, Fei Fang, Stuart Russell
2018 — conf
Universal Agent for Disentangling Environments and Tasks.
ICLR (Poster)
Jiayuan Mao, Honghua Dong, Joseph J. Lim