Huanyu Liu

According to our database, Huanyu Liu authored at least 19 papers between 2024 and 2026.

Collaborative distances:

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

2026

Do Transformers Have the Ability for Periodicity Generalization?

Huanyu Liu, Ge Li, Yihong Dong, Sihan Wu, Peixu Wang, Sihao Cheng, Taozhi Chen, Kechi Zhang, Hao Zhu, Tongxuan Liu

CoRR, January, 2026

RL-PLUS: Countering Capability Boundary Collapse of LLMs in Reinforcement Learning with Hybrid-policy Optimization.

Yihong Dong, Xue Jiang, Yongding Tao, Huanyu Liu, Kechi Zhang, Lili Mou, Rongyu Cao, Yingwei Ma, Jue Chen, Binhua Li, Zhi Jin, Fei Huang, Yongbin Li, Ge Li

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

2025

Specification-Guided Vulnerability Detection with Large Language Models.

Hao Zhu, Jia Li, Cuiyun Gao, Jiaru Qian, Yihong Dong, Huanyu Liu, Lecheng Wang, Ziliang Wang, XiaoLong Hu, Ge Li

CoRR, November, 2025

Detecting Data Contamination from Reinforcement Learning Post-training for Large Language Models.

Yongding Tao, Tian Wang, Yihong Dong, Huanyu Liu, Kechi Zhang, XiaoLong Hu, Ge Li

CoRR, October, 2025

EvoCoT: Overcoming the Exploration Bottleneck in Reinforcement Learning.

Huanyu Liu, Jia Li, Chang Yu, Taozhi Chen, Yihong Dong, Lecheng Wang, XiaoLong Hu, Ge Li

CoRR, August, 2025

SATURN: SAT-based Reinforcement Learning to Unleash Language Model Reasoning.

Huanyu Liu, Jia Li, Hao Zhu, Kechi Zhang, Yihong Dong, Ge Li

CoRR, May, 2025

aiXcoder-7B-v2: Training LLMs to Fully Utilize the Long Context in Repository-level Code Completion.

Jia Li, Hao Zhu, Huanyu Liu, Xianjie Shi, He Zong, Yihong Dong, Kechi Zhang, Siyuan Jiang, Zhi Jin, Ge Li

CoRR, March, 2025

FANformer: Improving Large Language Models Through Effective Periodicity Modeling.

Yihong Dong, Ge Li, Xue Jiang, Yongding Tao, Kechi Zhang, Hao Zhu, Huanyu Liu, Jiazheng Ding, Jia Li, Jinliang Deng, Hong Mei

CoRR, February, 2025

Reasoning is Periodicity? Improving Large Language Models Through Effective Periodicity Modeling.

Yihong Dong, Ge Li, Xue Jiang, Yongding Tao, Kechi Zhang, Lecheng Wang, Hao Zhu, Huanyu Liu, Jiazheng Ding, Jia Li, Jinliang Deng, Hong Mei

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

Aligning LLMs to Fully Utilize the Cross-file Context in Repository-level Code Completion.

Jia Li, Hao Zhu, Huanyu Liu, Xianjie Shi, He Zong, Yihong Dong, Kechi Zhang, Siyuan Jiang, Zhi Jin, Ge Li

Proceedings of the 40th IEEE/ACM International Conference on Automated Software Engineering, 2025

ROCODE: Integrating Backtracking Mechanism and Program Analysis in Large Language Models for Code Generation.

Xue Jiang, Yihong Dong, Yongding Tao, Huanyu Liu, Zhi Jin, Ge Li

Proceedings of the 47th IEEE/ACM International Conference on Software Engineering, 2025

aiXcoder-7B: A Lightweight and Effective Large Language Model for Code Processing.

Siyuan Jiang, Jia Li, He Zong, Huanyu Liu, Hao Zhu, Shukai Hu, Erlu Li, Jiazheng Ding, Yu Han, Wei Ning, Ge Li

Proceedings of the 47th IEEE/ACM International Conference on Software Engineering: Software Engineering in Practice, 2025

2024

ROCODE: Integrating Backtracking Mechanism and Program Analysis in Large Language Models for Code Generation.

Xue Jiang, Yihong Dong, Yongding Tao, Huanyu Liu, Zhi Jin, Wenpin Jiao, Ge Li

CoRR, 2024

aiXcoder-7B: A Lightweight and Effective Large Language Model for Code Completion.

Siyuan Jiang, Jia Li, He Zong, Huanyu Liu, Hao Zhu, Shukai Hu, Erlu Li, Jiazheng Ding, Yu Han, Wei Ning, Gen Wang, Yihong Dong, Kechi Zhang, Ge Li

CoRR, 2024

DevEval: A Manually-Annotated Code Generation Benchmark Aligned with Real-World Code Repositories.

Jia Li, Ge Li, Yunfei Zhao, Yongmin Li, Huanyu Liu, Hao Zhu, Lecheng Wang, Kaibo Liu, Zheng Fang, Lanshen Wang, Jiazheng Ding, Xuanming Zhang, Yuqi Zhu, Yihong Dong, Zhi Jin, Binhua Li, Fei Huang, Yongbin Li

CoRR, 2024

Generalization or Memorization: Data Contamination and Trustworthy Evaluation for Large Language Models.

Yihong Dong, Xue Jiang, Huanyu Liu, Zhi Jin, Ge Li

CoRR, 2024

Flowmind2Digital: The First Comprehensive Flowmind Recognition and Conversion Approach.

Huanyu Liu, Jianfeng Cai, Tingjia Zhang, Hongsheng Li, Siyuan Wang, Guangming Zhu, Syed Afaq Ali Shah, Mohammed Bennamoun, Liang Zhang

CoRR, 2024

DevEval: A Manually-Annotated Code Generation Benchmark Aligned with Real-World Code Repositories.

Jia Li, Ge Li, Yunfei Zhao, Yongmin Li, Huanyu Liu, Hao Zhu, Lecheng Wang, Kaibo Liu, Zheng Fang, Lanshen Wang, Jiazheng Ding, Xuanming Zhang, Yuqi Zhu, Yihong Dong, Zhi Jin, Binhua Li, Fei Huang, Yongbin Li, Bin Gu, Mengfei Yang

Proceedings of the Findings of the Association for Computational Linguistics, 2024

Generalization or Memorization: Data Contamination and Trustworthy Evaluation for Large Language Models.

Yihong Dong, Xue Jiang, Huanyu Liu, Zhi Jin, Bin Gu, Mengfei Yang, Ge Li

Proceedings of the Findings of the Association for Computational Linguistics, 2024