Jiaheng Liu

According to our database, Jiaheng Liu authored at least 162 papers between 2018 and 2025.

Collaborative distances:

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

2025

Part I: Tricks or Traps? A Deep Dive into RL for LLM Reasoning.

Zihe Liu, Jiashun Liu, Yancheng He, Weixun Wang, Jiaheng Liu, Ling Pan, Xinyu Hu, Shaopan Xiong, Ju Huang, Jian Hu, Shengyi Huang, Siran Yang, Jiamang Wang, Wenbo Su, Bo Zheng

CoRR, August, 2025

Efficient Agents: Building Effective Agents While Reducing Cost.

Ningning Wang, Xavier Hu, Pai Liu, He Zhu, Yue Hou, Heyuan Huang, Shengyu Zhang, Jian Yang, Jiaheng Liu, Ge Zhang, Changwang Zhang, Jun Wang, Yuchen Eleanor Jiang, Wangchunshu Zhou

CoRR, August, 2025

Reconsidering Overthinking: Penalizing Internal and External Redundancy in CoT Reasoning.

Jialiang Hong, Taihang Zhen, Kai Chen, Jiaheng Liu, Wenpeng Zhu, Jing Huo, Yang Gao, Depeng Wang, Haitao Wan, Xi Yang, Boyan Wang, Fanyu Meng

CoRR, August, 2025

IFEvalCode: Controlled Code Generation.

Jian Yang, Wei Zhang, Shukai Liu, Linzheng Chai, Yingshui Tan, Jiaheng Liu, Ge Zhang, Wangchunshu Zhou, Guanglin Niu, Zhoujun Li, Binyuan Hui, Junyang Lin

CoRR, July, 2025

Multilingual Multimodal Software Developer for Code Generation.

Linzheng Chai, Jian Yang, Shukai Liu, Wei Zhang, Liran Wang, Ke Jin, Tao Sun, Congnan Liu, Chenchen Zhang, Hualei Zhu, Jiaheng Liu, Xianjie Wu, Ge Zhang, Tianyu Liu, Zhoujun Li

CoRR, July, 2025

KAT-V1: Kwai-AutoThink Technical Report.

Zizheng Zhan, Ken Deng, Huaixi Tang, Wen Xiang, Kun Wu, Weihao Li, Wenqiang Zhu, Jingxuan Xu, Lecheng Huang, Zong-Xian Feng, Shaojie Wang, Shangpeng Yan, Xuxing Chen, Jiaheng Liu, Zhongyuan Peng, Zuchen Gao, Haoyang Huang, Xiaojiang Zhang, Jinghui Wang, Zheng Lin, Mengtong Li, Huiming Wang, Ziqi Zhan, Yanan Wu, Yuanxing Zhang, Jian Yang, Guang Chen, Haotian Zhang, Bin Chen, Bing Yu

CoRR, July, 2025

Agent KB: Leveraging Cross-Domain Experience for Agentic Problem Solving.

Xiangru Tang, Tianrui Qin, Tianhao Peng, Ziyang Zhou, Daniel Shao, Tingting Du, Xinming Wei, Peng Xia, Fang Wu, He Zhu, Ge Zhang, Jiaheng Liu, Xingyao Wang, Sirui Hong, Chenglin Wu, Hao Cheng, Chi Wang, Wangchunshu Zhou

CoRR, July, 2025

A Survey on Latent Reasoning.

Ruijie Zhu, Tianhao Peng, Tianhao Cheng, Xingwei Qu, Jinfa Huang, Dawei Zhu, Hao Wang, Kaiwen Xue, Xuanliang Zhang, Yong Shan, Tianle Cai, Taylor Kergan, Assel Kembay, Andrew Smith, Chenghua Lin, Binh Nguyen, Yuqi Pan, Yuhong Chou, Zefan Cai, Zhenhe Wu, Yongchi Zhao, Tianyu Liu, Jian Yang, Wangchunshu Zhou, Chujie Zheng, Chongxuan Li, Yuyin Zhou, Zhoujun Li, Zhaoxiang Zhang, Jiaheng Liu, Ge Zhang, Wenhao Huang, Jason Eshraghian

CoRR, July, 2025

CriticLean: Critic-Guided Reinforcement Learning for Mathematical Formalization.

Zhongyuan Peng, Yifan Yao, Kaijing Ma, Shuyue Guo, Yizhe Li, Yichi Zhang, Chenchen Zhang, Yifan Zhang, Zhouliang Yu, Luming Li, Minghao Liu, Yihang Xia, Jiawei Shen, Yuchen Wu, Yixin Cao, Zhaoxiang Zhang, Wenhao Huang, Jiaheng Liu, Ge Zhang

CoRR, July, 2025

ArtifactsBench: Bridging the Visual-Interactive Gap in LLM Code Generation Evaluation.

Chenchen Zhang, Yuhang Li, Can Xu, Jiaheng Liu, Ao Liu, Shihui Hu, Dengpeng Wu, Guanhua Huang, Kejiao Li, Qi Yi, Ruibin Xiong, Haotian Zhu, Yuanxing Zhang, Yuhao Jiang, Yue Zhang, Zenan Xu, Bohui Zhai, Guoxiang He, Hebin Li, Jie Zhao, Le Zhang, Lingyun Tan, Pengyu Guo, Xianshu Pang, Yang Ruan, Zhifeng Zhang, Zhonghu Wang, Ziyan Xu, Zuopu Yin, Wiggin Zhou, Chayse Zhou, Fengzong Lian

CoRR, July, 2025

SPEAR: Structured Pruning for Spiking Neural Networks via Synaptic Operation Estimation and Reinforcement Learning.

Hui Xie, Yuhe Liu, Shaoqi Yang, Jinyang Guo, Yufei Guo, Yuqing Ma, Jiaxin Chen, Jiaheng Liu, Xianglong Liu

CoRR, July, 2025

OAgents: An Empirical Study of Building Effective Agents.

He Zhu, Tianrui Qin, King Zhu, Heyuan Huang, Yeyi Guan, Jinxiang Xia, Yi Yao, Hanhao Li, Ningning Wang, Pai Liu, Tianhao Peng, Xin Gui, Xiaowan Li, Yuhui Liu, Yuchen Eleanor Jiang, Jun Wang, Changwang Zhang, Xiangru Tang, Ge Zhang, Jian Yang, Minghao Liu, Xitong Gao, Jiaheng Liu, Wangchunshu Zhou

CoRR, June, 2025

Scaling Test-time Compute for LLM Agents.

King Zhu, Hanhao Li, Siwei Wu, Tianshun Xing, Dehua Ma, Xiangru Tang, Minghao Liu, Jian Yang, Jiaheng Liu, Yuchen Eleanor Jiang, Changwang Zhang, Chenghua Lin, Jun Wang, Ge Zhang, Wangchunshu Zhou

CoRR, June, 2025

TaskCraft: Automated Generation of Agentic Tasks.

Dingfeng Shi, Jingyi Cao, Qianben Chen, Weichen Sun, Weizhen Li, Hongxuan Lu, Fangchen Dong, Tianrui Qin, King Zhu, Minghao Liu, Jian Yang, Ge Zhang, Jiaheng Liu, Changwang Zhang, Jun Wang, Yuchen Eleanor Jiang, Wangchunshu Zhou

CoRR, June, 2025

Reinforcement Learning Optimization for Large-Scale Learning: An Efficient and User-Friendly Scaling Library.

Weixun Wang, Shaopan Xiong, Gengru Chen, Wei Gao, Sheng Guo, Yancheng He, Ju Huang, Jiaheng Liu, Zhendong Li, Xiaoyang Li, Zichen Liu, Haizhou Zhao, Dakai An, Lunxi Cao, Qiyang Cao, Wanxi Deng, Feilei Du, Yiliang Gu, Jiahe Li, Xiang Li, Mingjie Liu, Yijia Luo, Zihe Liu, Yadao Wang, Pei Wang, Tianyuan Wu, Yanan Wu, Yuheng Zhao, Shuaibing Zhao, Jin Yang, Siran Yang, Yingshui Tan, Huimin Yi, Yuchi Xu, Yujin Yuan, Xingyao Zhang, Lin Qu, Wenbo Su, Wei Wang, Jiamang Wang, Bo Zheng

CoRR, June, 2025

ScaleLong: A Multi-Timescale Benchmark for Long Video Understanding.

David Ma, Huaqing Yuan, Xingjian Wang, Qianbo Zang, Tianci Liu, Xinyang He, Yanbin Wei, Jiawei Guo, Ni Jiahui, Zhenzhu Yang, Meng Cao, Shanghaoran Quan, Yizhi Li, Wangchunshu Zhou, Jiaheng Liu, Wenhao Huang, Ge Zhang, Shiwen Ni, Xiaojie Jin

CoRR, May, 2025

USB: A Comprehensive and Unified Safety Evaluation Benchmark for Multimodal Large Language Models.

Baolin Zheng, Guanlin Chen, Hongqiong Zhong, Qingyang Teng, Yingshui Tan, Zhendong Liu, Weixun Wang, Jiaheng Liu, Jian Yang, Huiyun Jing, Jincheng Wei, Wenbo Su, Xiaoyong Zhu, Bo Zheng, Kaifu Zhang

CoRR, May, 2025

Beyond Safe Answers: A Benchmark for Evaluating True Risk Awareness in Large Reasoning Models.

Baihui Zheng, Boren Zheng, Kerui Cao, Yingshui Tan, Zhendong Liu, Weixun Wang, Jiaheng Liu, Jian Yang, Wenbo Su, Xiaoyong Zhu, Bo Zheng, Kaifu Zhang

CoRR, May, 2025

KORGym: A Dynamic Game Platform for LLM Reasoning Evaluation.

Jiajun Shi, Jian Yang, Jiaheng Liu, Xingyuan Bu, Jiangjie Chen, Junting Zhou, Kaijing Ma, Zhoufutu Wen, Bingli Wang, Yancheng He, Liang Song, Hualei Zhu, Shilong Li, Xingjian Wang, Wei Zhang, Ruibin Yuan, Yifan Yao, Wenjun Yang, Yunli Wang, Siyuan Fang, Siyu Yuan, Qianyu He, Xiangru Tang, Yingshui Tan, Wangchunshu Zhou, Zhaoxiang Zhang, Zhoujun Li, Wenhao Huang, Ge Zhang

CoRR, May, 2025

Think-J: Learning to Think for Generative LLM-as-a-Judge.

Hui Huang, Yancheng He, Hongli Zhou, Rui Zhang, Wei Liu, Weixun Wang, Wenbo Su, Bo Zheng, Jiaheng Liu

CoRR, May, 2025

Table-R1: Region-based Reinforcement Learning for Table Understanding.

Zhenhe Wu, Jian Yang, Jiaheng Liu, Xianjie Wu, Changzai Pan, Jie Zhang, Yu Zhao, Shuangyong Song, Yongxiang Li, Zhoujun Li

CoRR, May, 2025

Flow-GRPO: Training Flow Matching Models via Online RL.

Jie Liu, Gongye Liu, Jiajun Liang, Yangguang Li, Jiaheng Liu, Xintao Wang, Pengfei Wan, Di Zhang, Wanli Ouyang

CoRR, May, 2025

DREAM: Disentangling Risks to Enhance Safety Alignment in Multimodal Large Language Models.

Jianyu Liu, Hangyu Guo, Ranjie Duan, Xingyuan Bu, Yancheng He, Shilong Li, Hui Huang, Jiaheng Liu, Yucheng Wang, Chenchen Jing, Xingwei Qu, Xiao Zhang, Yingshui Tan, Yanan Wu, Jihao Gu, Yangguang Li, Jianke Zhu

CoRR, April, 2025

IV-Bench: A Benchmark for Image-Grounded Video Perception and Reasoning in Multimodal LLMs.

David Ma, Yuanxing Zhang, Jincheng Ren, Jarvis Guo, Yifan Yao, Zhenlin Wei, Zhenzhu Yang, Zhongyuan Peng, Boyu Feng, Jun Ma, Xiao Gu, Zhoufutu Wen, King Zhu, Yancheng He, Meng Cao, Shiwen Ni, Jiaheng Liu, Wenhao Huang, Ge Zhang, Xiaojie Jin

CoRR, April, 2025

Mavors: Multi-granularity Video Representation for Multimodal Large Language Model.

Yang Shi, Jiaheng Liu, Yushuo Guan, Zhenhua Wu, Yuanxing Zhang, Zihao Wang, Weihong Lin, Jingyun Hua, Zekun Wang, Xinlong Chen, Bohan Zeng, Wentao Zhang, Fuzheng Zhang, Wenjing Yang, Di Zhang

CoRR, April, 2025

COIG-P: A High-Quality and Large-Scale Chinese Preference Dataset for Alignment with Human Values.

M.-A-P. Team, Siwei Wu, Jincheng Ren, Xinrun Du, Shuyue Guo, Xingwei Qu, Yiming Liang, Jie Liu, Yunwen Li, Tianyu Zheng, Boyu Feng, Huaqing Yuan, Zenith Wang, Jiaheng Liu, Wenhao Huang, Chenglin Cai, Haoran Que, Jian Yang, Yuelin Bai, Zekun Moore Wang, Zhouliang Yu, Qunshu Lin, Ding Pan, Yuchen Jiang, Tiannan Wang, Wangchunshu Zhou, Shenzhi Wang, Xingyuan Bu, Minghao Liu, Guoyin Wang, Ge Zhang, Chenghua Lin

CoRR, April, 2025

A Comprehensive Survey on Long Context Language Modeling.

Jiaheng Liu, Dawei Zhu, Zhiqi Bai, Yancheng He, Huanxuan Liao, Haoran Que, Zekun Wang, Chenchen Zhang, Ge Zhang, Jiebin Zhang, Yuanxing Zhang, Zhuo Chen, Hangyu Guo, Shilong Li, Ziqiang Liu, Yong Shan, Yifan Song, Jiayi Tian, Wenhao Wu, Zhejian Zhou, Ruijie Zhu, Junlan Feng, Yang Gao, Shizhu He, Zhoujun Li, Tianyu Liu, Fanyu Meng, Wenbo Su, Yingshui Tan, Zili Wang, Jian Yang, Wei Ye, Bo Zheng, Wangchunshu Zhou, Wenhao Huang, Sujian Li, Zhaoxiang Zhang

CoRR, March, 2025

Deconstructing Long Chain-of-Thought: A Structured Reasoning Optimization Framework for Long CoT Distillation.

Yijia Luo, Yulin Song, Xingyao Zhang, Jiaheng Liu, Weixun Wang, Gengru Chen, Wenbo Su, Bo Zheng

CoRR, March, 2025

Can Large Language Models Detect Errors in Long Chain-of-Thought Reasoning?

Yancheng He, Shilong Li, Jiaheng Liu, Weixun Wang, Xingyuan Bu, Ge Zhang, Zhongyuan Peng, Zhaoxiang Zhang, Zhicheng Zheng, Wenbo Su, Bo Zheng

CoRR, February, 2025

AIR: Complex Instruction Generation via Automatic Iterative Refinement.

Wei Liu, Yancheng He, Hui Huang, Chengwei Hu, Jiaheng Liu, Shilong Li, Wenbo Su, Bo Zheng

CoRR, February, 2025

CodeCriticBench: A Holistic Code Critique Benchmark for Large Language Models.

Alexander Zhang, Marcus Dong, Jiaheng Liu, Wei Zhang, Yejie Wang, Jian Yang, Ge Zhang, Tianyu Liu, Zhongyuan Peng, Yingshui Tan, Yuanxing Zhang, Zhexu Wang, Weixun Wang, Yancheng He, Ken Deng, Wangchunshu Zhou, Wenhao Huang, Zhaoxiang Zhang

CoRR, February, 2025

SuperGPQA: Scaling LLM Evaluation across 285 Graduate Disciplines.

M.-A-P. Team, Xinrun Du, Yifan Yao, Kaijing Ma, Bingli Wang, Tianyu Zheng, Kang Zhu, Minghao Liu, Yiming Liang, Xiaolong Jin, Zhenlin Wei, Chujie Zheng, Kaixin Deng, Shian Jia, Sichao Jiang, Yiyan Liao, Rui Li, Qinrui Li, Sirun Li, Yizhi Li, Yunwen Li, Dehua Ma, Yuansheng Ni, Haoran Que, Qiyao Wang, Zhoufutu Wen, Siwei Wu, Tianshun Xing, Ming Xu, Zhenzhu Yang, Zekun Moore Wang, Jun Zhou, Yuelin Bai, Xingyuan Bu, Chenglin Cai, Liang Chen, Yifan Chen, Chengtuo Cheng, Tianhao Cheng, Keyi Ding, Siming Huang, Yun Huang, Yaoru Li, Yizhe Li, Zhaoqun Li, Tianhao Liang, Chengdong Lin, Hongquan Lin, Yinghao Ma, Tianyang Pang, Zhongyuan Peng, Zifan Peng, Qige Qi, Shi Qiu, Xingwei Qu, Shanghaoran Quan, Yizhou Tan, Zili Wang, Chenqing Wang, Hao Wang, Yiya Wang, Yubo Wang, Jiajun Xu, Kexin Yang, Ruibin Yuan, Yuanhao Yue, Tianyang Zhan, Chun Zhang, Jinyang Zhang, Xiyue Zhang, Xingjian Zhang, Yue Zhang, Yongchi Zhao, Xiangyu Zheng, Chenghua Zhong, Yang Gao, Zhoujun Li, Dayiheng Liu, Qian Liu, Tianyu Liu, Shiwen Ni, Junran Peng, Yujia Qin, Wenbo Su, Guoyin Wang, Shi Wang, Jian Yang, Min Yang, Meng Cao, Xiang Yue, Zhaoxiang Zhang, Wangchunshu Zhou, Jiaheng Liu, Qunshu Lin, Wenhao Huang, Ge Zhang

CoRR, February, 2025

SimpleVQA: Multimodal Factuality Evaluation for Multimodal Large Language Models.

Xianfu Cheng, Wei Zhang, Shiwei Zhang, Jian Yang, Xiangyuan Guan, Xianjie Wu, Xiang Li, Ge Zhang, Jiaheng Liu, Yuying Mai, Yutao Zeng, Zhoufutu Wen, Ke Jin, Baorui Wang, Weixiao Zhou, Yunhong Lu, Tongliang Li, Wenhao Huang, Zhoujun Li

CoRR, February, 2025

Sailor2: Sailing in South-East Asia with Inclusive Multilingual LLMs.

Longxu Dou, Qian Liu, Fan Zhou, Changyu Chen, Zili Wang, Ziqi Jin, Zichen Liu, Tongyao Zhu, Cunxiao Du, Penghui Yang, Haonan Wang, Jiaheng Liu, Yongchi Zhao, Xiachong Feng, Xin Mao, Man Tsung Yeung, Kunat Pipatanakul, Fajri Koto, Min Si Thu, Hynek Kydlícek, Zeyi Liu, Qunshu Lin, Sittipong Sripaisarnmongkol, Kridtaphad Sae-Khow, Nirattisai Thongchim, Taechawat Konkaew, Narong Borijindargoon, Anh Dao, Matichon Maneegard, Phakphum Artkaew, Zheng-Xin Yong, Quan Nguyen, Wannaphong Phatthiyaphaibun, Hoang H. Tran, Mike Zhang, Shiqi Chen, Tianyu Pang, Chao Du, Xinyi Wan, Wei Lu, Min Lin

CoRR, February, 2025

ChineseSimpleVQA - "See the World, Discover Knowledge": A Chinese Factuality Evaluation for Large Vision Language Models.

Jihao Gu, Yingyao Wang, Pi Bu, Chen Wang, Ziming Wang, Tengtao Song, Donglai Wei, Jiale Yuan, Yingxiu Zhao, Yancheng He, Shilong Li, Jiaheng Liu, Meng Cao, Jun Song, Yingshui Tan, Xiang Li, Wenbo Su, Zhicheng Zheng, Xiaoyong Zhu, Bo Zheng

CoRR, February, 2025

Equilibrate RLHF: Towards Balancing Helpfulness-Safety Trade-off in Large Language Models.

Yingshui Tan, Yilei Jiang, Yanshi Li, Jiaheng Liu, Xingyuan Bu, Wenbo Su, Xiangyu Yue, Xiaoyong Zhu, Bo Zheng

CoRR, February, 2025

SafeDialBench: A Fine-Grained Safety Benchmark for Large Language Models in Multi-Turn Dialogues with Diverse Jailbreak Attacks.

Hongye Cao, Yanming Wang, Sijia Jing, Ziyue Peng, Zhixin Bai, Zhe Cao, Meng Fang, Fan Feng, Boyan Wang, Jiaheng Liu, Tianpei Yang, Jing Huo, Yang Gao, Fanyu Meng, Xi Yang, Chao Deng, Junlan Feng

CoRR, February, 2025

Distillation Quantification for Large Language Models.

Sunbowen Lee, Junting Zhou, Chang Ao, Kaige Li, Xinrun Du, Sirui He, Jiaheng Liu, Min Yang, Zhoufutu Wen, Shiwen Ni

CoRR, January, 2025

Aligning Instruction Tuning with Pre-training.

Yiming Liang, Tianyu Zheng, Xinrun Du, Ge Zhang, Jiaheng Liu, Xingwei Qu, Wenqiang Zu, Xingrun Xing, Chujie Zheng, Lei Ma, Wenhu Chen, Guoyin Wang, Zhaoxiang Zhang, Wenhao Huang, Xiang Yue, Jiajun Zhang

CoRR, January, 2025

ProgCo: Program Helps Self-Correction of Large Language Models.

Xiaoshuai Song, Yanan Wu, Weixun Wang, Jiaheng Liu, Wenbo Su, Bo Zheng

CoRR, January, 2025

Molecular graph contrastive learning with line graph.

Xueyuan Chen, Shangzhe Li, Ruomei Liu, Bowen Shi, Jiaheng Liu, Junran Wu, Ke Xu

Pattern Recognit., 2025

DREAM: Disentangling Risks to Enhance Safety Alignment in Multimodal Large Language Models.

Jianyu Liu, Hangyu Guo, Ranjie Duan, Xingyuan Bu, Yancheng He, Shilong Li, Hui Huang, Jiaheng Liu, Yucheng Wang, Chenchen Jing, Xingwei Qu, Xiao Zhang, Pei Wang, Yanan Wu, Jihao Gu, Yangguang Li, Jianke Zhu

Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies, 2025

2D-DPO: Scaling Direct Preference Optimization with 2-Dimensional Supervision.

Shilong Li, Yancheng He, Hui Huang, Xingyuan Bu, Jiaheng Liu, Hangyu Guo, Weixun Wang, Jihao Gu, Wenbo Su, Bo Zheng

Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2025, Albuquerque, New Mexico, USA, April 29, 2025

MTU-Bench: A Multi-granularity Tool-Use Benchmark for Large Language Models.

Pei Wang, Yanan Wu, Noah Wang, Jiaheng Liu, Xiaoshuai Song, Z. Y. Peng, Ken Deng, Chenchen Zhang, Jiakai Wang, Junran Peng, Ge Zhang, Hangyu Guo, Zhaoxiang Zhang, Wenbo Su, Bo Zheng

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

MuPT: A Generative Symbolic Music Pretrained Transformer.

Xingwei Qu, Yuelin Bai, Yinghao Ma, Ziya Zhou, Ka Man Lo, Jiaheng Liu, Ruibin Yuan, Lejun Min, Xueling Liu, Tianyu Zhang, Xeron Du, Shuyue Guo, Yiming Liang, Yizhi Li, Shangda Wu, Junting Zhou, Tianyu Zheng, Ziyang Ma, Fengze Han, Wei Xue, et al.

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

KOR-Bench: Benchmarking Language Models on Knowledge-Orthogonal Reasoning Tasks.

Kaijing Ma, Xeron Du, Yunran Wang, Haoran Zhang, Zhoufutu Wen, Xingwei Qu, Jian Yang, Jiaheng Liu, Minghao Liu, Xiang Yue, Wenhao Huang, Ge Zhang

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

McEval: Massively Multilingual Code Evaluation.

Linzheng Chai, Shukai Liu, Jian Yang, Yuwei Yin, Ke Jin, Jiaheng Liu, Tao Sun, Ge Zhang, Changyu Ren, Hongcheng Guo, Noah Wang, Boyang Wang, Xianjie Wu, Bing Wang, Tongliang Li, Liqun Yang, Sufeng Duan, Zhaoxiang Zhang, Zhoujun Li

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

LIME: Less Is More for MLLM Evaluation.

King Zhu, Qianbo Zang, Shian Jia, Siwei Wu, Feiteng Fang, Yizhi Li, Shuyue Guo, Tianyu Zheng, Jiawei Guo, Bo Li, Haoning Wu, Xingwei Qu, Jian Yang, Ruibo Liu, Xiang Yue, Jiaheng Liu, Chenghua Lin, Hamid Alinejad-Rokny, Min Yang, Shiwen Ni, Wenhao Huang, Ge Zhang

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

PopAlign: Diversifying Contrasting Patterns for a More Comprehensive Alignment.

Zekun Moore Wang, Shenzhi Wang, King Zhu, Jiaheng Liu, Ke Xu, Jie Fu, Wangchunshu Zhou, Wenhao Huang

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

Chinese SafetyQA: A Safety Short-form Factuality Benchmark for Large Language Models.

Yingshui Tan, Boren Zheng, Baihui Zheng, Kerui Cao, Huiyun Jing, Jincheng Wei, Jiaheng Liu, Yancheng He, Wenbo Su, Xiaoyong Zhu, Bo Zheng, Kaifu Zhang

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

M2RC-EVAL: Massively Multilingual Repository-level Code Completion Evaluation.

Jiaheng Liu, Ken Deng, Congnan Liu, Jian Yang, Shukai Liu, He Zhu, Peng Zhao, Linzheng Chai, Yanan Wu, Ke Jin, Ge Zhang, Zekun Moore Wang, Guoan Zhang, Yingshui Tan, Bangyu Xiang, Zhaoxiang Zhang, Wenbo Su, Bo Zheng

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

Quantification of Large Language Model Distillation.

Sunbowen Lee, Junting Zhou, Chang Ao, Kaige Li, Xeron Du, Sirui He, Haihong Wu, Tianci Liu, Jiaheng Liu, Hamid Alinejad-Rokny, Min Yang, Yitao Liang, Zhoufutu Wen, Shiwen Ni

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

MuSC: Improving Complex Instruction Following with Multi-granularity Self-Contrastive Training.

Hui Huang, Jiaheng Liu, Yancheng He, Shilong Li, Bing Xu, Conghui Zhu, Muyun Yang, Tiejun Zhao

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

OpenCoder: The Open Cookbook for Top-Tier Code Large Language Models.

Siming Huang, Tianhao Cheng, Jason Klein Liu, Weidi Xu, Jiaran Hao, Liuyihan Song, Yang Xu, Jian Yang, Jiaheng Liu, Chenchen Zhang, Linzheng Chai, Ruifeng Yuan, Xianzhen Luo, Qiufeng Wang, YuanTao Fan, Qingfu Zhu, Zhaoxiang Zhang, Yang Gao, Jie Fu, Qian Liu, Houyi Li, Ge Zhang, Yuan Qi, Yinghui Xu, Wei Chu, Zili Wang

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

Can Large Language Models Detect Errors in Long Chain-of-Thought Reasoning?

Yancheng He, Shilong Li, Jiaheng Liu, Weixun Wang, Xingyuan Bu, Ge Zhang, Z. Y. Peng, Zhaoxiang Zhang, Zhicheng Zheng, Wenbo Su, Bo Zheng

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

Chinese SimpleQA: A Chinese Factuality Evaluation for Large Language Models.

Yancheng He, Shilong Li, Jiaheng Liu, Yingshui Tan, Weixun Wang, Hui Huang, Xingyuan Bu, Hangyu Guo, Chengwei Hu, Boren Zheng, Zhuoran Lin, Dekai Sun, Zhicheng Zheng, Wenbo Su, Bo Zheng

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

See the World, Discover Knowledge: A Chinese Factuality Evaluation for Large Vision Language Models.

Jihao Gu, Yingyao Wang, Pi Bu, Chen Wang, Ziming Wang, Tengtao Song, Donglai Wei, Jiale Yuan, Yingxiu Zhao, Yancheng He, Shilong Li, Jiaheng Liu, Meng Cao, Jun Song, Yingshui Tan, Xiang Li, Wenbo Su, Xiaoyong Zhu, Bo Zheng

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

VidCapBench: A Comprehensive Benchmark of Video Captioning for Controllable Text-to-Video Generation.

Xinlong Chen, Yuanxing Zhang, Chongling Rao, Yushuo Guan, Jiaheng Liu, Fuzheng Zhang, Chengru Song, Qiang Liu, Di Zhang, Tieniu Tan

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

Can MLLMs Understand the Deep Implication Behind Chinese Images?

Chenhao Zhang, Xi Feng, Yuelin Bai, Xeron Du, Jinchang Hou, Kaixin Deng, Guangzeng Han, Qinrui Li, Bingli Wang, Jiaheng Liu, Xingwei Qu, Yifei Zhang, Qixuan Zhao, Yiming Liang, Ziqiang Liu, Feiteng Fang, Min Yang, Wenhao Huang, Chenghua Lin, Ge Zhang, Shiwen Ni

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

TableBench: A Comprehensive and Complex Benchmark for Table Question Answering.

Xianjie Wu, Jian Yang, Linzheng Chai, Ge Zhang, Jiaheng Liu, Xeron Du, Di Liang, Daixin Shu, Xianfu Cheng, Tianzhen Sun, Tongliang Li, Zhoujun Li, Guanglin Niu

Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

XCOT: Cross-lingual Instruction Tuning for Cross-lingual Chain-of-Thought Reasoning.

Linzheng Chai, Jian Yang, Tao Sun, Hongcheng Guo, Jiaheng Liu, Bing Wang, Xinnian Liang, Jiaqi Bai, Tongliang Li, Qiyao Peng, Zhoujun Li

Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

2024

Deep learning-based multimodal fusion of the surface ECG and clinical features in prediction of atrial fibrillation recurrence following catheter ablation.

Yue Qiu, Hongcheng Guo, Shixin Wang, Shu Yang, Xiafeng Peng, Dongqin Xiayao, Renjie Chen, Jian Yang, Jiaheng Liu, Mingfang Li, Zhoujun Li, Hongwu Chen, Minglong Chen

BMC Medical Informatics Decis. Mak., December, 2024

A unified efficient deep image compression framework and its application on human-centric Task.

Xueyuan Chen, Zhihao Hu, Guo Lu, Jiaheng Liu

Multim. Tools Appl., September, 2024

Reuse distance-based shared LLC management mechanism for heterogeneous CPU-GPU systems.

Jiaheng Liu, Ryusuke Egawa, Keichi Takahashi, Yoichi Shimomura, Hiroyuki Takizawa

IEICE Electron. Express, 2024

mt4CrossOIE: Multi-stage tuning for cross-lingual open information extraction.

Tongliang Li, Zixiang Wang, Linzheng Chai, Jian Yang, Jiaqi Bai, Yuwei Yin, Jiaheng Liu, Hongcheng Guo, Liqun Yang, Hebboul Zine El Abidine, Zhoujun Li

Expert Syst. Appl., 2024

Chinese SafetyQA: A Safety Short-form Factuality Benchmark for Large Language Models.

Yingshui Tan, Boren Zheng, Baihui Zheng, Kerui Cao, Huiyun Jing, Jincheng Wei, Jiaheng Liu, Yancheng He, Wenbo Su, Xiangyong Zhu, Bo Zheng, Kaifu Zhang

CoRR, 2024

PTSBench: A Comprehensive Post-Training Sparsity Benchmark Towards Algorithms and Models.

Zining Wnag, Jinyang Guo, Ruihao Gong, Yang Yong, Aishan Liu, Yushi Huang, Jiaheng Liu, Xianglong Liu

CoRR, 2024

PhysGame: Uncovering Physical Commonsense Violations in Gameplay Videos.

Meng Cao, Haoran Tang, Haoze Zhao, Hangyu Guo, Jiaheng Liu, Ge Zhang, Ruyang Liu, Qiang Sun, Ian Reid, Xiaodan Liang

CoRR, 2024

Chinese SimpleQA: A Chinese Factuality Evaluation for Large Language Models.

Yancheng He, Shilong Li, Jiaheng Liu, Yingshui Tan, Weixun Wang, Hui Huang, Xingyuan Bu, Hangyu Guo, Chengwei Hu, Boren Zheng, Zhuoran Lin, Xuepeng Liu, Dekai Sun, Shirong Lin, Zhicheng Zheng, Xiaoyong Zhu, Wenbo Su, Bo Zheng

CoRR, 2024

MdEval: Massively Multilingual Code Debugging.

Shukai Liu, Linzheng Chai, Jian Yang, Jiajun Shi, He Zhu, Liran Wang, Ke Jin, Wei Zhang, Hualei Zhu, Shuyue Guo, Tao Sun, Jiaheng Liu, Yunlong Duan, Yu Hao, Liqun Yang, Guanglin Niu, Ge Zhang, Zhoujun Li

CoRR, 2024

M2rc-Eval: Massively Multilingual Repository-level Code Completion Evaluation.

Jiaheng Liu, Ken Deng, Congnan Liu, Jian Yang, Shukai Liu, He Zhu, Peng Zhao, Linzheng Chai, Yanan Wu, Ke Jin, Ge Zhang, Zekun Wang, Guoan Zhang, Bangyu Xiang, Wenbo Su, Bo Zheng

CoRR, 2024

AutoKaggle: A Multi-Agent Framework for Autonomous Data Science Competitions.

Ziming Li, Qianbo Zang, David Ma, Jiawei Guo, Tuney Zheng, Minghao Liu, Xinyao Niu, Yue Wang, Jian Yang, Jiaheng Liu, Wanjun Zhong, Wangchunshu Zhou, Wenhao Huang, Ge Zhang

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

Can MLLMs Understand the Deep Implication Behind Chinese Images?

Chenhao Zhang, Xi Feng, Yuelin Bai, Xinrun Du, Jinchang Hou, Kaixin Deng, Guangzeng Han, Qinrui Li, Bingli Wang, Jiaheng Liu, Xingwei Qu, Yifei Zhang, Qixuan Zhao, Yiming Liang, Ziqiang Liu, Feiteng Fang, Min Yang, Wenhao Huang, Chenghua Lin, Ge Zhang, Shiwen Ni

CoRR, 2024

PopAlign: Diversifying Contrasting Patterns for a More Comprehensive Alignment.

Zekun Moore Wang, Shawn Wang, Kang Zhu, Jiaheng Liu, Ke Xu, Jie Fu, Wangchunshu Zhou, Wenhao Huang

CoRR, 2024

A Comparative Study on Reasoning Patterns of OpenAI's o1 Model.

Siwei Wu, Zhongyuan Peng, Xinrun Du, Tuney Zheng, Minghao Liu, Jialong Wu, Jiachen Ma, Yizhi Li, Jian Yang, Wangchunshu Zhou, Qunshu Lin, Junbo Zhao, Zhaoxiang Zhang, Wenhao Huang, Ge Zhang, Chenghua Lin, Jiaheng Liu

CoRR, 2024

MTU-Bench: A Multi-granularity Tool-Use Benchmark for Large Language Models.

Pei Wang, Yanan Wu, Zekun Wang, Jiaheng Liu, Xiaoshuai Song, Zhongyuan Peng, Ken Deng, Chenchen Zhang, Jiakai Wang, Junran Peng, Ge Zhang, Hangyu Guo, Zhaoxiang Zhang, Wenbo Su, Bo Zheng

CoRR, 2024

ING-VP: MLLMs cannot Play Easy Vision-based Games Yet.

Haoran Zhang, Hangyu Guo, Shuyue Guo, Meng Cao, Wenhao Huang, Jiaheng Liu, Ge Zhang

CoRR, 2024

KOR-Bench: Benchmarking Language Models on Knowledge-Orthogonal Reasoning Tasks.

Kaijing Ma, Xinrun Du, Yunran Wang, Haoran Zhang, Zhoufutu Wen, Xingwei Qu, Jian Yang, Jiaheng Liu, Minghao Liu, Xiang Yue, Wenhao Huang, Ge Zhang

CoRR, 2024

MIO: A Foundation Model on Multimodal Tokens.

Zekun Wang, King Zhu, Chunpu Xu, Wangchunshu Zhou, Jiaheng Liu, Yibo Zhang, Jiashuo Wang, Ning Shi, Siyu Li, Yizhi Li, Haoran Que, Zhaoxiang Zhang, Yuanxing Zhang, Ge Zhang, Ke Xu, Jie Fu, Wenhao Huang

CoRR, 2024

HelloBench: Evaluating Long Text Generation Capabilities of Large Language Models.

Haoran Que, Feiyu Duan, Liqun He, Yutao Mou, Wangchunshu Zhou, Jiaheng Liu, Wenge Rong, Zekun Moore Wang, Jian Yang, Ge Zhang, Junran Peng, Zhaoxiang Zhang, Songyang Zhang, Kai Chen

CoRR, 2024

OmniBench: Towards The Future of Universal Omni-Language Models.

Yizhi Li, Ge Zhang, Yinghao Ma, Ruibin Yuan, Kang Zhu, Hangyu Guo, Yiming Liang, Jiaheng Liu, Jian Yang, Siwei Wu, Xingwei Qu, Jinjie Shi, Xinyue Zhang, Zhenzhu Yang, Xiangzhou Wang, Zhaoxiang Zhang, Zachary Liu, Emmanouil Benetos, Wenhao Huang, Chenghua Lin

CoRR, 2024

FuzzCoder: Byte-level Fuzzing Test via Large Language Model.

Liqun Yang, Jian Yang, Chaoren Wei, Guanglin Niu, Ge Zhang, Yunli Wang, Linzheng Chai, Wanxu Xia, Hongcheng Guo, Shun Zhang, Jiaheng Liu, Yuwei Yin, Junran Peng, Jiaxin Ma, Liang Sun, Zhoujun Li

CoRR, 2024

TableBench: A Comprehensive and Complex Benchmark for Table Question Answering.

Xianjie Wu, Jian Yang, Linzheng Chai, Ge Zhang, Jiaheng Liu, Xinrun Du, Di Liang, Daixin Shu, Xianfu Cheng, Tianzhen Sun, Guanglin Niu, Tongliang Li, Zhoujun Li

CoRR, 2024

I-SHEEP: Self-Alignment of LLM from Scratch through an Iterative Self-Enhancement Paradigm.

Yiming Liang, Ge Zhang, Xingwei Qu, Tianyu Zheng, Jiawei Guo, Xinrun Du, Zhenzhu Yang, Jiaheng Liu, Chenghua Lin, Lei Ma, Wenhao Huang, Jiajun Zhang

CoRR, 2024

NC-NCD: Novel Class Discovery for Node Classification.

Yue Hou, Xueyuan Chen, He Zhu, Ruomei Liu, Bowen Shi, Jiaheng Liu, Junran Wu, Ke Xu

CoRR, 2024

MMRA: A Benchmark for Multi-granularity Multi-image Relational Association.

Siwei Wu, Kang Zhu, Yu Bai, Yiming Liang, Yizhi Li, Haoning Wu, Jiaheng Liu, Ruibo Liu, Xingwei Qu, Xuxin Cheng, Ge Zhang, Wenhao Huang, Chenghua Lin

CoRR, 2024

LongIns: A Challenging Long-context Instruction-based Exam for LLMs.

Shawn Gavin, Tuney Zheng, Jiaheng Liu, Quehry Que, Noah Wang, Jian Yang, Chenchen Zhang, Wenhao Huang, Wenhu Chen, Ge Zhang

CoRR, 2024

GIEBench: Towards Holistic Evaluation of Group Identity-based Empathy for Large Language Models.

Leyan Wang, Yonggang Jin, Tianhao Shen, Tianyu Zheng, Xinrun Du, Chenchen Zhang, Wenhao Huang, Jiaheng Liu, Shi Wang, Ge Zhang, Liuyu Xiang, Zhaofeng He

CoRR, 2024

Iterative Length-Regularized Direct Preference Optimization: A Case Study on Improving 7B Language Models to GPT-4 Level.

Jie Liu, Zhanhui Zhou, Jiaheng Liu, Xingyuan Bu, Chao Yang, Hansen Zhong, Wanli Ouyang

CoRR, 2024

McEval: Massively Multilingual Code Evaluation.

Linzheng Chai, Shukai Liu, Jian Yang, Yuwei Yin, Ke Jin, Jiaheng Liu, Tao Sun, Ge Zhang, Changyu Ren, Hongcheng Guo, Zekun Wang, Boyang Wang, Xianjie Wu, Bing Wang, Tongliang Li, Liqun Yang, Sufeng Duan, Zhoujun Li

CoRR, 2024

II-Bench: An Image Implication Understanding Benchmark for Multimodal Large Language Models.

Ziqiang Liu, Feiteng Fang, Xi Feng, Xinrun Du, Chenhao Zhang, Zekun Wang, Yuelin Bai, Qixuan Zhao, Liyang Fan, Chengguang Gan, Hongquan Lin, Jiaming Li, Yuansheng Ni, Haihong Wu, Yaswanth Narsupalli, Zhigang Zheng, Chengming Li, Xiping Hu, Ruifeng Xu, Xiaojun Chen, Min Yang, Jiaheng Liu, Ruibo Liu, Wenhao Huang, Ge Zhang, Shiwen Ni

CoRR, 2024

Towards Real-world Scenario: Imbalanced New Intent Discovery.

Shun Zhang, Chaoran Yan, Jian Yang, Jiaheng Liu, Ying Mo, Jiaqi Bai, Tongliang Li, Zhoujun Li

CoRR, 2024

R2C2-Coder: Enhancing and Benchmarking Real-world Repository-level Code Completion Abilities of Code Large Language Models.

Ken Deng, Jiaheng Liu, He Zhu, Congnan Liu, Jingxin Li, Jiakai Wang, Peng Zhao, Chenchen Zhang, Yanan Wu, Xueqiao Yin, Yuanxing Zhang, Wenbo Su, Bangyu Xiang, Tiezheng Ge, Bo Zheng

CoRR, 2024

MAP-Neo: Highly Capable and Transparent Bilingual Large Language Model Series.

Ge Zhang, Scott Qu, Jiaheng Liu, Chenchen Zhang, Chenghua Lin, Chou Leuang Yu, Danny Pan, Esther Cheng, Jie Liu, Qunshu Lin, Raven Yuan, Tuney Zheng, Wei Pang, Xinrun Du, Yiming Liang, Yinghao Ma, Yizhi Li, Ziyang Ma, Bill Y. Lin, Emmanouil Benetos, Huan Yang, Junting Zhou, Kaijing Ma, Minghao Liu, Morry Niu, Noah Wang, Quehry Que, Ruibo Liu, Sine Liu, Shawn Guo, Soren Gao, Wangchunshu Zhou, Xinyue Zhang, Yizhi Zhou, Yubo Wang, Yuelin Bai, Yuhan Zhang, Yuxiang Zhang, Zenith Wang, Zhenzhu Yang, Zijian Zhao, Jiajun Zhang, Wanli Ouyang, Wenhao Huang, Wenhu Chen

CoRR, 2024

MuPT: A Generative Symbolic Music Pretrained Transformer.

Xingwei Qu, Yuelin Bai, Yinghao Ma, Ziya Zhou, Ka Man Lo, Jiaheng Liu, Ruibin Yuan, Lejun Min, Xueling Liu, Tianyu Zhang, Xinrun Du, Shuyue Guo, Yiming Liang, Yizhi Li, Shangda Wu, Junting Zhou, Tianyu Zheng, Ziyang Ma, Fengze Han, Wei Xue, Gus Xia, Emmanouil Benetos, Xiang Yue, Chenghua Lin, Xu Tan, Stephen W. Huang, Wenhu Chen, Jie Fu, Ge Zhang

CoRR, 2024

Chinese Tiny LLM: Pretraining a Chinese-Centric Large Language Model.

Xinrun Du, Zhouliang Yu, Songyang Gao, Ding Pan, Yuyang Cheng, Ziyang Ma, Ruibin Yuan, Xingwei Qu, Jiaheng Liu, Tianyu Zheng, Xinchen Luo, Guorui Zhou, Binhang Yuan, Wenhu Chen, Jie Fu, Ge Zhang

CoRR, 2024

The Fine Line: Navigating Large Language Model Pretraining with Down-streaming Capability Analysis.

Chen Yang, Junzhuo Li, Xinyao Niu, Xinrun Du, Songyang Gao, Haoran Zhang, Zhaoliang Chen, Xingwei Qu, Ruibin Yuan, Yizhi Li, Jiaheng Liu, Stephen W. Huang, Shawn Yue, Wenhu Chen, Jie Fu, Ge Zhang

CoRR, 2024

Lemur: Log Parsing with Entropy Sampling and Chain-of-Thought Merging.

Wei Zhang, Hongcheng Guo, Anjie Le, Jian Yang, Jiaheng Liu, Zhoujun Li, Tieqiao Zheng, Shi Xu, Runqiang Zang, Liangfan Zheng, Bo Zhang

CoRR, 2024

MLAD: A Unified Model for Multi-system Log Anomaly Detection.

Runqiang Zang, Hongcheng Guo, Jian Yang, Jiaheng Liu, Zhoujun Li, Tieqiao Zheng, Xu Shi, Liangfan Zheng, Bo Zhang

CoRR, 2024

E^2-LLM: Efficient and Extreme Length Extension of Large Language Models.

Jiaheng Liu, Zhiqi Bai, Yuanxing Zhang, Chenchen Zhang, Yu Zhang, Ge Zhang, Jiakai Wang, Haoran Que, Yukang Chen, Wenbo Su, Tiezheng Ge, Jie Fu, Wenhu Chen, Bo Zheng

CoRR, 2024

Fractional-order rate-dependent thermoelastic diffusion theory based on new definitions of fractional derivatives with non-singular kernels and the associated structural transient dynamic responses analysis of sandwich-like composite laminates.

Chenlin Li, Jiaheng Liu, Tianhu He

Commun. Nonlinear Sci. Numer. Simul., 2024

D-CPT Law: Domain-specific Continual Pre-Training Scaling Law for Large Language Models.

Haoran Que, Jiaheng Liu, Ge Zhang, Chenchen Zhang, Xingwei Qu, Yinghao Ma, Feiyu Duan, Zhiqi Bai, Jiakai Wang, Yuanxing Zhang, Xu Tan, Jie Fu, Jiamang Wang, Lin Qu, Wenbo Su, Bo Zheng

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

DDK: Distilling Domain Knowledge for Efficient Large Language Models.

Jiaheng Liu, Chenchen Zhang, Jinyang Guo, Yuanxing Zhang, Haoran Que, Ken Deng, Zhiqi Bai, Jie Liu, Ge Zhang, Jiakai Wang, Yanan Wu, Congnan Liu, Jiamang Wang, Lin Qu, Wenbo Su, Bo Zheng

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

RoleAgent: Building, Interacting, and Benchmarking High-quality Role-Playing Agents from Scripts.

Jiaheng Liu, Zehao Ni, Haoran Que, Tao Sun, Noah Wang, Jian Yang, Jiakai Wang, Hongcheng Guo, Zhongyuan Peng, Ge Zhang, Jiayi Tian, Xingyuan Bu, Ke Xu, Wenge Rong, Junran Peng, Zhaoxiang Zhang

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

II-Bench: An Image Implication Understanding Benchmark for Multimodal Large Language Models.

Ziqiang Liu, Feiteng Fang, Xi Feng, Xeron Du, Chenhao Zhang, Noah Wang, Yuelin Bai, Qixuan Zhao, Liyang Fan, Chengguang Gan, Hongquan Lin, Jiaming Li, Yuansheng Ni, Haihong Wu, Yaswanth Narsupalli, Zhigang Zheng, Chengming Li, Xiping Hu, Ruifeng Xu, Xiaojun Chen, Min Yang, Jiaheng Liu, Ruibo Liu, Wenhao Huang, Ge Zhang, Shiwen Ni

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

VRDistill: Vote Refinement Distillation for Efficient Indoor 3D Object Detection.

Ze Yuan, Jinyang Guo, Dakai An, Junran Wu, He Zhu, Jianhao Li, Xueyuan Chen, Ke Xu, Jiaheng Liu

Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

PTSBench: A Comprehensive Post-Training Sparsity Benchmark Towards Algorithms and Models.

Zining Wang, Jinyang Guo, Ruihao Gong, Yang Yong, Aishan Liu, Yushi Huang, Jiaheng Liu, Xianglong Liu

Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

MaterialSeg3D: Segmenting Dense Materials from 2D Priors for 3D Assets.

Zeyu Li, Ruitong Gan, Chuanchen Luo, Yuxi Wang, Jiaheng Liu, Ziwei Zhu, Qing Li, Xucheng Yin, Man Zhang, Zhaoxiang Zhang, Junran Peng

Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

Compressing Large Language Models by Joint Sparsification and Quantization.

Jinyang Guo, Jianyu Wu, Zining Wang, Jiaheng Liu, Ge Yang, Yifu Ding, Ruihao Gong, Haotong Qin, Xianglong Liu

Proceedings of the Forty-first International Conference on Machine Learning, 2024

OWL: A Large Language Model for IT Operations.

Hongcheng Guo, Jian Yang, Jiaheng Liu, Liqun Yang, Linzheng Chai, Jiaqi Bai, Junran Peng, Xiaorong Hu, Chao Chen, Dongfeng Zhang, Xu Shi, Tieqiao Zheng, Liangfan Zheng, Bo Zhang, Ke Xu, Zhoujun Li

Proceedings of the Twelfth International Conference on Learning Representations, 2024

GraphReader: Building Graph-based Agent to Enhance Long-Context Abilities of Large Language Models.

Shilong Li, Yancheng He, Hangyu Guo, Xingyuan Bu, Ge Bai, Jie Liu, Jiaheng Liu, Xingwei Qu, Yangguang Li, Wanli Ouyang, Wenbo Su, Bo Zheng

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

Segment, Lift and Fit: Automatic 3D Shape Labeling from 2D Prompts.

Jianhao Li, Tianyu Sun, Zhongdao Wang, Enze Xie, Bailan Feng, Hongbo Zhang, Ze Yuan, Ke Xu, Jiaheng Liu, Ping Luo

Proceedings of the Computer Vision - ECCV 2024, 2024

LTA-PCS: Learnable Task-Agnostic Point Cloud Sampling.

Jiaheng Liu, Jianhao Li, Kaisiyuan Wang, Hongcheng Guo, Jian Yang, Junran Peng, Ke Xu, Xianglong Liu, Jinyang Guo

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

m3P: Towards Multimodal Multilingual Translation with Multimodal Prompt.

Jian Yang, Hongcheng Guo, Yuwei Yin, Jiaqi Bai, Bing Wang, Jiaheng Liu, Xinnian Liang, Linzheng Chai, Liqun Yang, Zhoujun Li

Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

NC²D: Novel Class Discovery for Node Classification.

Yue Hou, Xueyuan Chen, He Zhu, Ruomei Liu, Bowen Shi, Jiaheng Liu, Junran Wu, Ke Xu

Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

Emulated Disalignment: Safety Alignment for Large Language Models May Backfire!

Zhanhui Zhou, Jie Liu, Zhichen Dong, Jiaheng Liu, Chao Yang, Wanli Ouyang, Yu Qiao

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

Towards Real-world Scenario: Imbalanced New Intent Discovery.

Shun Zhang, Chaoran Yan, Jian Yang, Jiaheng Liu, Ying Mo, Jiaqi Bai, Tongliang Li, Zhoujun Li

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

ConceptMath: A Bilingual Concept-wise Benchmark for Measuring Mathematical Reasoning of Large Language Models.

Yanan Wu, Jie Liu, Xingyuan Bu, Jiaheng Liu, Zhanhui Zhou, Yuanxing Zhang, Chenchen Zhang, Zhiqi Bai, Haibin Chen, Tiezheng Ge, Wanli Ouyang, Wenbo Su, Bo Zheng

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

RoleLLM: Benchmarking, Eliciting, and Enhancing Role-Playing Abilities of Large Language Models.

Noah Wang, Zhongyuan Peng, Haoran Que, Jiaheng Liu, Wangchunshu Zhou, Yuhan Wu, Hongcheng Guo, Ruitong Gan, Zehao Ni, Jian Yang, Man Zhang, Zhaoxiang Zhang, Wanli Ouyang, Ke Xu, Wenhao Huang, Jie Fu, Junran Peng

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

UniCoder: Scaling Code Large Language Model via Universal Code.

Tao Sun, Linzheng Chai, Jian Yang, Yuwei Yin, Hongcheng Guo, Jiaheng Liu, Bing Wang, Liqun Yang, Zhoujun Li

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

E2-LLM: Efficient and Extreme Length Extension of Large Language Models.

Jiaheng Liu, Zhiqi Bai, Yuanxing Zhang, Chenchen Zhang, Yu Zhang, Ge Zhang, Jiakai Wang, Haoran Que, Yukang Chen, Wenbo Su, Tiezheng Ge, Jie Fu, Wenhu Chen, Bo Zheng

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

MT-Bench-101: A Fine-Grained Benchmark for Evaluating Large Language Models in Multi-Turn Dialogues.

Ge Bai, Jie Liu, Xingyuan Bu, Yancheng He, Jiaheng Liu, Zhanhui Zhou, Zhuoran Lin, Wenbo Su, Tiezheng Ge, Bo Zheng, Wanli Ouyang

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

LogFormer: A Pre-train and Tuning Pipeline for Log Anomaly Detection.

Hongcheng Guo, Jian Yang, Jiaheng Liu, Jiaqi Bai, Boyang Wang, Zhoujun Li, Tieqiao Zheng, Bo Zhang, Junran Peng, Qi Tian

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

GeometryMotion-Transformer: An End-to-End Framework for 3D Action Recognition.

Jiaheng Liu, Jinyang Guo, Dong Xu

IEEE Trans. Multim., 2023

RoleLLM: Benchmarking, Eliciting, and Enhancing Role-Playing Abilities of Large Language Models.

Zekun Moore Wang, Zhongyuan Peng, Haoran Que, Jiaheng Liu, Wangchunshu Zhou, Yuhan Wu, Hongcheng Guo, Ruitong Gan, Zehao Ni, Man Zhang, Zhaoxiang Zhang, Wanli Ouyang, Ke Xu, Wenhu Chen, Jie Fu, Junran Peng

CoRR, 2023

Multilingual Entity and Relation Extraction from Unified to Language-specific Training.

Zixiang Wang, Jian Yang, Tongliang Li, Jiaheng Liu, Ying Mo, Jiaqi Bai, Longtao He, Zhoujun Li

CoRR, 2023

ICD-Face: Intra-class Compactness Distillation for Face Recognition.

Zhipeng Yu, Jiaheng Liu, Haoyu Qin, Yichao Wu, Kun Hu, Jiayi Tian, Ding Liang

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Achieving Fine-grained Word Sense Disambiguation with Context Hypergraph and Sememe Hypergraph.

Jiaheng Liu, Haonan Zeng

Proceedings of the 4th International Conference on Artificial Intelligence and Computer Engineering, 2023

M2C: Towards Automatic Multimodal Manga Complement.

Hongcheng Guo, Boyang Wang, Jiaqi Bai, Jiaheng Liu, Jian Yang, Zhoujun Li

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

LogLG: Weakly Supervised Log Anomaly Detection via Log-Event Graph Construction.

Hongcheng Guo, Yuhui Guo, Jian Yang, Jiaheng Liu, Zhoujun Li, Tieqiao Zheng, Liangfan Zheng, Weichao Hou, Bo Zhang

Proceedings of the Database Systems for Advanced Applications, 2023

GD-MAE: Generative Decoder for MAE Pre-Training on LiDAR Point Clouds.

Honghui Yang, Tong He, Jiaheng Liu, Hua Chen, Boxi Wu, Binbin Lin, Xiaofei He, Wanli Ouyang

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

GripRank: Bridging the Gap between Retrieval and Generation via the Generative Knowledge Improved Passage Ranking.

Jiaqi Bai, Hongcheng Guo, Jiaheng Liu, Jian Yang, Xinnian Liang, Zhao Yan, Zhoujun Li

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

Multilingual Entity and Relation Extraction from Unified to Language-specific Training.

Zixiang Wang, Jian Yang, Tongliang Li, Linzheng Chai, Jiaheng Liu, Ying Mo, Jiaqi Bai, Zhoujun Li

Proceedings of the International Conference on Electronics, 2023

Adaptive Contrastive Knowledge Distillation for BERT Compression.

Jinyang Guo, Jiaheng Liu, Zining Wang, Yuqing Ma, Ruihao Gong, Ke Xu, Xianglong Liu

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

2022

Improved Harris Hawks Optimization for Configuration of PV Intelligent Edge Terminals.

Leijiao Ge, Jiaheng Liu, Jun Yan, Muhammad Umer Rafiq

IEEE Trans. Sustain. Comput., 2022

APSNet: Toward Adaptive Point Sampling for Efficient 3D Action Recognition.

Jiaheng Liu, Jinyang Guo, Dong Xu

IEEE Trans. Image Process., 2022

3D-Pruning: A Model Compression Framework for Efficient 3D Action Recognition.

Jinyang Guo, Jiaheng Liu, Dong Xu

IEEE Trans. Circuits Syst. Video Technol., 2022

JointPruning: Pruning Networks Along Multiple Dimensions for Efficient Point Cloud Processing.

Jinyang Guo, Jiaheng Liu, Dong Xu

IEEE Trans. Circuits Syst. Video Technol., 2022

A Conflict-Aware Capacity Control Mechanism for Deep Cache Hierarchy.

Jiaheng Liu, Ryusuke Egawa, Hiroyuki Takizawa

IEICE Trans. Inf. Syst., 2022

3D-QueryIS: A Query-based Framework for 3D Instance Segmentation.

Jiaheng Liu, Tong He, Honghui Yang, Rui Su, Jiayi Tian, Junran Wu, Hongcheng Guo, Ke Xu, Wanli Ouyang

CoRR, 2022

LVP-M3: Language-aware Visual Prompt for Multilingual Multimodal Machine Translation.

Hongcheng Guo, Jiaheng Liu, Haoyang Huang, Jian Yang, Zhoujun Li, Dongdong Zhang, Furu Wei

CoRR, 2022

Cross-Lingual Cross-Modal Consolidation for Effective Multilingual Video Corpus Moment Retrieval.

Jiaheng Liu, Tan Yu, Hanyu Peng, Mingming Sun, Ping Li

Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2022, 2022

Computer-Aided Tuberculosis Diagnosis with Attribute Reasoning Assistance.

Chengwei Pan, Gangming Zhao, Junjie Fang, Baolian Qi, Jiaheng Liu, Chaowei Fang, Dingwen Zhang, Jinpeng Li, Yizhou Yu

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

LVP-M3: Language-aware Visual Prompt for Multilingual Multimodal Machine Translation.

Hongcheng Guo, Jiaheng Liu, Haoyang Huang, Jian Yang, Zhoujun Li, Dongdong Zhang, Zheng Cui

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

OneFace: One Threshold for All.

Jiaheng Liu, Zhipeng Yu, Haoyu Qin, Yichao Wu, Ding Liang, Gangming Zhao, Ke Xu

Proceedings of the Computer Vision - ECCV 2022, 2022

CoupleFace: Relation Matters for Face Recognition Distillation.

Jiaheng Liu, Haoyu Qin, Yichao Wu, Jinyang Guo, Ding Liang, Ke Xu

Proceedings of the Computer Vision - ECCV 2022, 2022

Deep 3D Vessel Segmentation based on Cross Transformer Network.

Chengwei Pan, Baolian Qi, Gangming Zhao, Jiaheng Liu, Chaowei Fang, Dingwen Zhang, Jinpeng Li

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022

AnchorFace: Boosting TAR@FAR for Practical Face Recognition.

Jiaheng Liu, Haoyu Qin, Yichao Wu, Ding Liang

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

Block Proposal Neural Architecture Search.

Jiaheng Liu, Shunfeng Zhou, Yichao Wu, Ken Chen, Wanli Ouyang, Dong Xu

IEEE Trans. Image Process., 2021

GeometryMotion-Net: A Strong Two-Stream Baseline for 3D Action Recognition.

Jiaheng Liu, Dong Xu

IEEE Trans. Circuits Syst. Video Technol., 2021

Inter-class Discrepancy Alignment for Face Recognition.

Jiaheng Liu, Yudong Wu, Yichao Wu, Zhenmao Li, Ken Chen, Ding Liang, Junjie Yan

CoRR, 2021

Improved adaptive gray wolf genetic algorithm for photovoltaic intelligent edge terminal optimal configuration.

Leijiao Ge, Jiaheng Liu, Bo Wang, Yue Zhou, Jun Yan, Ming Wang

Comput. Electr. Eng., 2021

DAM: Discrepancy Alignment Metric for Face Recognition.

Jiaheng Liu, Yudong Wu, Yichao Wu, Chuming Li, Xiaolin Hu, Ding Liang, Mengyu Wang

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

2020

A Unified End-to-End Framework for Efficient Deep Image Compression.

Jiaheng Liu, Guo Lu, Zhihao Hu, Dong Xu

CoRR, 2020

A Conflict-Aware Capacity Control Mechanism for Last-Level Cache.

Jiaheng Liu, Ryusuke Egawa, Mulya Agung, Hiroyuki Takizawa

Proceedings of the Eighth International Symposium on Computing and Networking Workshops, 2020

Learning to Auto Weight: Entirely Data-Driven and Highly Efficient Weighting Framework.

Zhenmao Li, Yichao Wu, Ken Chen, Yudong Wu, Shunfeng Zhou, Jiaheng Liu, Junjie Yan

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

LAW: Learning to Auto Weight.

Zhenmao Li, Yichao Wu, Ken Chen, Yudong Wu, Shunfeng Zhou, Jiaheng Liu, Junjie Yan

CoRR, 2019

Correlation Congruence for Knowledge Distillation.

Baoyun Peng, Xiao Jin, Dongsheng Li, Shunfeng Zhou, Yichao Wu, Jiaheng Liu, Zhaoning Zhang, Yu Liu

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Knowledge Distillation via Route Constrained Optimization.

Xiao Jin, Baoyun Peng, Yichao Wu, Yu Liu, Jiaheng Liu, Ding Liang, Junjie Yan, Xiaolin Hu

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Aggregate Signature Consensus Scheme Based on FPGA.

Jinhua Fu, Jiaheng Liu, Yongzhong Huang, Xueming Si, Yongjuan Wang, Bin Li

Proceedings of the Blockchain and Trustworthy Systems - First International Conference, 2019

2018

New 3D 16-Ary Signal Constellations and Their Symbol Error Probabilities in AWGN and Rayleigh Fading Channels.

Zhenxing Chen, Jiaheng Liu, Shuang Li, Seog Geun Kang

Wirel. Commun. Mob. Comput., 2018