Haikang Deng

According to our database, Haikang Deng authored at least 7 papers between 2023 and 2026.

Collaborative distances:

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

2026

TaoBench: Do Automated Theorem Prover LLMs Generalize Beyond MathLib?

Alexander K. Taylor, Junyi Zhang, Ethan Ji, Vigyan Sahai, Haikang Deng, Yuanzhou Chen, Yifan Yuan, Di Wu, Jia-Chen Gu, Kai-Wei Chang, Nanyun Peng, Amit Sahai, Wei Wang

CoRR, March, 2026

Learning Structured Reasoning via Tractable Trajectory Control.

Po-Nien Kung, Zhen Yang, Jeffrey Luo, Cheng-Fu Yang, Haikang Deng, Zi-Yi Dou, Yinfei Yang, Nanyun Peng, Zhe Gan, Kai-Wei Chang

CoRR, March, 2026

Decoupling Task-Solving and Output Formatting in LLM Generation.

Haikang Deng, Po-Nien Kung, Nanyun Peng

Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2026

2025

DialectGen: Benchmarking and Improving Dialect Robustness in Multimodal Generation.

Yu Zhou, Sohyun An, Haikang Deng, Da Yin, Clark Peng, Cho-Jui Hsieh, Kai-Wei Chang, Nanyun Peng

CoRR, October, 2025

Policy Frameworks for Transparent Chain-of-Thought Reasoning in Large Language Models.

Yihang Chen, Haikang Deng, Kaiqiao Han, Qingyue Zhao

CoRR, March, 2025

2023

Large Language Models Struggle to Learn Long-Tail Knowledge.

Nikhil Kandpal, Haikang Deng, Adam Roberts, Eric Wallace, Colin Raffel

Proceedings of the International Conference on Machine Learning, 2023

Reward-Augmented Decoding: Efficient Controlled Text Generation With a Unidirectional Reward Model.

Haikang Deng, Colin Raffel

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023