Bofei Gao

According to our database, Bofei Gao authored at least 22 papers between 2022 and 2026.

Collaborative distances:

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

2026

Reinforcement Learning for Chain of Thought Compression with One-Domain-to-All Generalization.

Hanyu Li, Jiangshan Duo, Bofei Gao, Hailin Zhang, Sujian Li, Xiaotie Deng, Liang Zhao

CoRR, January, 2026

P-Aligner: Pre-Aligning LLMs via Principled Instruction Synthesis.

Feifan Song, Bofei Gao, Yifan Song, Yi Liu, Weimin Xiong, Yuyang Song, Tianyu Liu, Guoyin Wang, Houfeng Wang

Proceedings of the ACM Web Conference 2026, 2026

Teaching Large Language Models to Maintain Contextual Faithfulness via Synthetic Tasks and Reinforcement Learning.

Shuzheng Si, Haozhe Zhao, Cheng Gao, Yuzhuo Bai, Zhitong Wang, Bofei Gao, Kangyang Luo, Wenhao Li, Yufei Huang, Gang Chen, Fanchao Qi, Minjia Zhang, Baobao Chang, Maosong Sun

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

Mitigating Overthinking through Reasoning Shaping.

Feifan Song, Shaohang Wei, Bofei Gao, Yejie Wang, Wen Luo, Wei Li, Linli Yao, Weimin Xiong, Liang Chen, Tianyu Liu, Houfeng Wang

CoRR, October, 2025

Kimi-Dev: Agentless Training as Skill Prior for SWE-Agents.

Zonghan Yang, Shengjie Wang, Kelin Fu, Wenyang He, Weimin Xiong, Yibo Liu, Yibo Miao, Bofei Gao, Yejie Wang, Yingwei Ma, Yanhao Li, Yue Liu, Zhenxing Hu, Kaitai Zhang, Shuyi Wang, Huarong Chen, Flood Sung, Yang Liu, Yang Gao, Zhilin Yang, Tianyu Liu

CoRR, September, 2025

P-Aligner: Enabling Pre-Alignment of Language Models via Principled Instruction Synthesis.

Feifan Song, Bofei Gao, Yifan Song, Yi Liu, Weimin Xiong, Yuyang Song, Tianyu Liu, Guoyin Wang, Houfeng Wang

CoRR, August, 2025

OJBench: A Competition Level Code Benchmark For Large Language Models.

Zhexu Wang, Yiping Liu, Yejie Wang, Wenyang He, Bofei Gao, Muxi Diao, Yanxu Chen, Kelin Fu, Flood Sung, Zhilin Yang, Tianyu Liu, Weiran Xu

CoRR, June, 2025

SCI-Reason: A Dataset with Chain-of-Thought Rationales for Complex Multimodal Reasoning in Academic Areas.

Chenghao Ma, Haihong E, Junpeng Ding, Jun Zhang, Ziyan Ma, Huang Qing, Bofei Gao, Liang Chen, Meina Song

CoRR, April, 2025

CodeElo: Benchmarking Competition-level Code Generation of LLMs with Human-comparable Elo Ratings.

Shanghaoran Quan, Jiaxi Yang, Bowen Yu, Bo Zheng, Dayiheng Liu, An Yang, Xuancheng Ren, Bofei Gao, Yibo Miao, Yunlong Feng, Zekun Wang, Jian Yang, Zeyu Cui, Yang Fan, Yichang Zhang, Binyuan Hui, Junyang Lin

CoRR, January, 2025

Enhancing fine-grained geographic named entity recognition by Multi-scale Siamese Reconstruction Network.

Guanhua Huang, Bofei Gao, Jiaze Chen, Yuchen Zhang, Zhouwang Yang

Eng. Appl. Artif. Intell., 2025

Omni-MATH: A Universal Olympiad Level Mathematic Benchmark for Large Language Models.

Bofei Gao, Feifan Song, Zhe Yang, Zefan Cai, Yibo Miao, Qingxiu Dong, Lei Li, Chenghao Ma, Liang Chen, Runxin Xu, Zhengyang Tang, Benyou Wang, Daoguang Zan, Shanghaoran Quan, Ge Zhang, Lei Sha, Yichang Zhang, Xuancheng Ren, Tianyu Liu, Baobao Chang

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Towards A Better Initial Policy Model For Scalable Long-CoT Reinforcement Learning.

Bofei Gao, Yejie Wang, Yibo Miao, Ruoyu Wu, Feifan Song, Longhui Yu, Tianyu Liu, Baobao Chang

Proceedings of the Findings of the Association for Computational Linguistics, 2025

LLM Critics Help Catch Bugs in Mathematics: Towards a Better Mathematical Verifier with Natural Language Feedback.

Bofei Gao, Zefan Cai, Runxin Xu, Peiyi Wang, Ce Zheng, Runji Lin, Keming Lu, Dayiheng Liu, Chang Zhou, Wen Xiao, Tianyu Liu, Baobao Chang

Proceedings of the Findings of the Association for Computational Linguistics, 2025

2024

Language Models can Self-Lengthen to Generate Long Texts.

Shanghaoran Quan, Tianyi Tang, Bowen Yu, An Yang, Dayiheng Liu, Bofei Gao, Jianhong Tu, Yichang Zhang, Jingren Zhou, Junyang Lin

CoRR, 2024

Aligning CodeLLMs with Direct Preference Optimization.

Yibo Miao, Bofei Gao, Shanghaoran Quan, Junyang Lin, Daoguang Zan, Jiaheng Liu, Jian Yang, Tianyu Liu, Zhijie Deng

CoRR, 2024

Qwen2.5-Math Technical Report: Toward Mathematical Expert Model via Self-Improvement.

An Yang, Beichen Zhang, Binyuan Hui, Bofei Gao, Bowen Yu, Chengpeng Li, Dayiheng Liu, Jianhong Tu, Jingren Zhou, Junyang Lin, Keming Lu, Mingfeng Xue, Runji Lin, Tianyu Liu, Xingzhang Ren, Zhenru Zhang

CoRR, 2024

Towards a Unified View of Preference Learning for Large Language Models: A Survey.

Bofei Gao, Feifan Song, Yibo Miao, Zefan Cai, Zhe Yang, Liang Chen, Helan Hu, Runxin Xu, Qingxiu Dong, Ce Zheng, Wen Xiao, Ge Zhang, Daoguang Zan, Keming Lu, Bowen Yu, Dayiheng Liu, Zeyu Cui, Jian Yang, Lei Sha, Houfeng Wang, Zhifang Sui, Peiyi Wang, Tianyu Liu, Baobao Chang

CoRR, 2024

LLM Critics Help Catch Bugs in Mathematics: Towards a Better Mathematical Verifier with Natural Language Feedback.

Bofei Gao, Zefan Cai, Runxin Xu, Peiyi Wang, Ce Zheng, Runji Lin, Keming Lu, Junyang Lin, Chang Zhou, Wen Xiao, Junjie Hu, Tianyu Liu, Baobao Chang

CoRR, 2024

PyramidKV: Dynamic KV Cache Compression based on Pyramidal Information Funneling.

Zefan Cai, Yichi Zhang, Bofei Gao, Yuliang Liu, Tianyu Liu, Keming Lu, Wayne Xiong, Yue Dong, Baobao Chang, Junjie Hu, Wen Xiao

CoRR, 2024

2023

Guiding AMR Parsing with Reverse Graph Linearization.

Bofei Gao, Liang Chen, Peiyi Wang, Zhifang Sui, Baobao Chang

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Coarse-to-Fine Dual Encoders are Better Frame Identification Learners.

Kaikai An, Ce Zheng, Bofei Gao, Haozhe Zhao, Baobao Chang

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

2022

A Two-Stage Method for Chinese AMR Parsing.

Liang Chen, Bofei Gao, Baobao Chang

CoRR, 2022