Honghua Dong

According to our database, Honghua Dong authored at least 16 papers between 2018 and 2026.

Collaborative distances:

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

2026

Precise Debugging Benchmark: Is Your Model Debugging or Regenerating?

Wang Bill Zhu, Miaosen Chai, Shangshang Wang, Yejia Liu, Song Bian, Honghua Dong, Willie Neiswanger, Robin Jia

CoRR, April, 2026

Grounded Chess Reasoning in Language Models via Master Distillation.

Zhenwei Tang, Qianfeng Wen, Seth Grief-Albert, Yahya Elgabra, Blair Yang, Honghua Dong, Ashton Anderson

CoRR, March, 2026

SWE-Bench Mobile: Can Large Language Model Agents Develop Industry-Level Mobile Applications?

Muxin Tian, Zhe Wang, Blair Yang, Zhenwei Tang, Kunlun Zhu, Honghua Dong, Hanchen Li, Xinni Xie, Guangjing Wang, Jiaxuan You

CoRR, February, 2026

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

CoRR, August, 2025

τ²-Bench: Evaluating Conversational Agents in a Dual-Control Environment.

Victor Barres, Honghua Dong, Soham Ray, Xujie Si, Karthik Narasimhan

CoRR, June, 2025

TypyBench: Evaluating LLM Type Inference for Untyped Python Repositories.

Honghua Dong, Jiacheng Yang, Xun Deng, Yuhe Jiang, Gennady Pekhimenko, Fan Long, Xujie Si

Proceedings of the Forty-second International Conference on Machine Learning, 2025

APPL: A Prompt Programming Language for Harmonious Integration of Programs and Large Language Model Prompts.

Honghua Dong, Qidong Su, Yubo Gao, Zhaoyu Li, Yangjun Ruan, Gennady Pekhimenko, Chris J. Maddison, Xujie Si

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

2024

The Fittest Wins: A Multistage Framework Achieving New SOTA in ViZDoom Competition.

Shuxing Li, Jiawei Xu, Honghua Dong, Yu Yang, Chun Yuan, Peng Sun, Lei Han

IEEE Trans. Games, March, 2024

Assessing Code Generation with Intermediate Languages.

Xun Deng, Sicheng Zhong, Honghua Dong, Jingyu Hu, Sidi Mohamed Beillahi, Xujie Si, Fan Long

CoRR, 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

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023

Blocker and Matcher Can Mutually Benefit: A Co-Learning Framework for Low-Resource Entity Resolution.

Shiwen Wu, Qiyu Wu, Honghua Dong, Wen Hua, Xiaofang Zhou

Proc. VLDB Endow., November, 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

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2020

The Scattering Compositional Learner: Discovering Objects, Attributes, Relationships in Analogical Reasoning.

Yuhuai Wu, Honghua Dong, Roger B. Grosse, Jimmy Ba

CoRR, 2020

2019

Neural Logic Machines.

Honghua Dong, Jiayuan Mao, Tian Lin, Chong Wang, Lihong Li, Denny Zhou

Proceedings of the 7th International Conference on Learning Representations, 2019

Robust Multi-Agent Reinforcement Learning via Minimax Deep Deterministic Policy Gradient.

Shihui Li, Yi Wu, Xinyue Cui, Honghua Dong, Fei Fang, Stuart Russell

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018

Universal Agent for Disentangling Environments and Tasks.

Jiayuan Mao, Honghua Dong, Joseph J. Lim

Proceedings of the 6th International Conference on Learning Representations, 2018