Yancheng He

According to our database, Yancheng He authored at least 53 papers between 2019 and 2025.

Collaborative distances:

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

2025

MM-BrowseComp: A Comprehensive Benchmark for Multimodal Browsing Agents.

Shilong Li, Xingyuan Bu, Wenjie Wang, Jiaheng Liu, Jun Dong, Haoyang He, Hao Lu, Haozhe Zhang, Chenchen Jing, Zhen Li, Chuanhao Li, Jiayi Tian, Chenchen Zhang, Tianhao Peng, Yancheng He, Jihao Gu, Yuanxing Zhang, Jian Yang, Ge Zhang, Wenhao Huang, Wangchunshu Zhou, Zhaoxiang Zhang, Ruizhe Ding, Shilei Wen

CoRR, August, 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

IC-Custom: Diverse Image Customization via In-Context Learning.

Yaowei Li, Xiaoyu Li, Zhaoyang Zhang, Yuxuan Bian, Gan Liu, Xinyuan Li, Jiale Xu, Wenbo Hu, Yating Liu, Lingen Li, Jing Cai, Yuexian Zou, Yancheng He, Ying Shan

CoRR, July, 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

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

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

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

ChineseEcomQA: A Scalable E-commerce Concept Evaluation Benchmark for Large Language Models.

Haibin Chen, Kangtao Lv, Chengwei Hu, Yanshi Li, Yujin Yuan, Yancheng He, Xingyao Zhang, Langming Liu, Shilei Liu, Wenbo Su, Bo Zheng

CoRR, February, 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

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

Bridging the Domain Gap in Grounded Situation Recognition via Unifying Event Extraction across Modalities.

Qingwen Liu, Zejun Li, Zhihao Fan, Cunxiang Yin, Yancheng He, Jing Cai, Jinhua Fu, Zhongyu Wei

Data Intell., 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

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

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

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

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

Token Preference Optimization with Self-Calibrated Visual-Anchored Rewards for Hallucination Mitigation.

Jihao Gu, Yingyao Wang, Meng Cao, Pi Bu, Jun Song, Yancheng He, Shilong Li, Bo Zheng

CoRR, 2024

WiS Platform: Enhancing Evaluation of LLM-Based Multi-Agent Systems Through Game-Based Analysis.

Chengwei Hu, Jianhui Zheng, Yancheng He, Hangyu Guo, Junguang Jiang, Han Zhu, Kai Sun, Yuning Jiang, Wenbo Su, Bo Zheng

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

Aiming at the Target: Filter Collaborative Information for Cross-Domain Recommendation.

Hanyu Li, Weizhi Ma, Peijie Sun, Jiayu Li, Cunxiang Yin, Yancheng He, Guoqiang Xu, Min Zhang, Shaoping Ma

Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2024

MDAN: Multi-distribution Adaptive Networks for LTV Prediction.

Wenshuang Liu, Guoqiang Xu, Bada Ye, Xinji Luo, Yancheng He, Cunxiang Yin

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2024

An Iterative Framework for Document-Level Event Argument Extraction Assisted by Long Short-Term Memory.

Tao You, Zejun Li, Zhihao Fan, Cunxiang Yin, Yancheng He, Jing Cai, Jinhua Fu, Zhongyu Wei

Proceedings of the Natural Language Processing and Chinese Computing, 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

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

2023

Online Volume Optimization for Notifications via Long Short-Term Value Modeling.

Yuchen Zhang, Mingjun Zhao, Chenglin Li, Weiyu Tou, Haolan Chen, Di Niu, Cunxiang Yin, Yancheng He, Fei Guo

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2023

Using Auxiliary Tasks In Multimodal Fusion of Wav2vec 2.0 And Bert for Multimodal Emotion Recognition.

Dekai Sun, Yancheng He, Jiqing Han

Proceedings of the IEEE International Conference on Acoustics, 2023

2022

HITMI&T at SemEval-2022 Task 4: Investigating Task-Adaptive Pretraining And Attention Mechanism On PCL Detection.

Zihang Liu, Yancheng He, Feiqing Zhuang, Bing Xu

Proceedings of the 16th International Workshop on Semantic Evaluation, SemEval@NAACL 2022, 2022

Modeling User Repeat Consumption Behavior for Online Novel Recommendation.

Yuncong Li, Cunxiang Yin, Yancheng He, Guoqiang Xu, Jing Cai, Leeven Luo, Sheng-hua Zhong

Proceedings of the RecSys '22: Sixteenth ACM Conference on Recommender Systems, Seattle, WA, USA, September 18, 2022

Learning Discriminative Representation Base on Attention for Uplift.

Guoqiang Xu, Cunxiang Yin, Yuchen Zhang, Yuncong Li, Yancheng He, Jing Cai, Zhongyu Wei

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2022

Causal Enhanced Uplift Model.

Xiaofeng He, Guoqiang Xu, Cunxiang Yin, Zhongyu Wei, Yuncong Li, Yancheng He, Jing Cai

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2022

2021

A Novel Macro-Micro Fusion Network for User Representation Learning on Mobile Apps.

Shuqing Bian, Wayne Xin Zhao, Kun Zhou, Xu Chen, Jing Cai, Yancheng He, Xingji Luo, Ji-Rong Wen

Proceedings of the WWW '21: The Web Conference 2021, 2021

Aspect-Sentiment-Multiple-Opinion Triplet Extraction.

Fang Wang, Yuncong Li, Sheng-hua Zhong, Cunxiang Yin, Yancheng He

Proceedings of the Natural Language Processing and Chinese Computing, 2021

Learning Reliable User Representations from Volatile and Sparse Data to Accurately Predict Customer Lifetime Value.

Mingzhe Xing, Shuqing Bian, Wayne Xin Zhao, Zhen Xiao, Xingji Luo, Cunxiang Yin, Jing Cai, Yancheng He

Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

Query-Variant Advertisement Text Generation with Association Knowledge.

Siyu Duan, Wei Li, Jing Cai, Yancheng He, Yunfang Wu

Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

Contrastive Curriculum Learning for Sequential User Behavior Modeling via Data Augmentation.

Shuqing Bian, Wayne Xin Zhao, Kun Zhou, Jing Cai, Yancheng He, Cunxiang Yin, Ji-Rong Wen

Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

Align Voting Behavior with Public Statements for Legislator Representation Learning.

Xinyi Mou, Zhongyu Wei, Lei Chen, Shangyi Ning, Yancheng He, Changjian Jiang, Xuanjing Huang

Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

2020

Query-Variant Advertisement Text Generation with Association Knowledge.

Siyu Duan, Wei Li, Cai Jing, Yancheng He, Yunfang Wu, Xu Sun

CoRR, 2020

Asking Questions the Human Way: Scalable Question-Answer Generation from Text Corpus.

Bang Liu, Haojie Wei, Di Niu, Haolan Chen, Yancheng He

Proceedings of the WWW '20: The Web Conference 2020, Taipei, Taiwan, April 20-24, 2020, 2020

2019

Recursive Graphical Neural Networks for Text Classification.

Wei Li, Shuheng Li, Shuming Ma, Yancheng He, Deli Chen, Xu Sun

CoRR, 2019

Coherent Comment Generation for Chinese Articles with a Graph-to-Sequence Model.

Wei Li, Jingjing Xu, Yancheng He, Shengli Yan, Yunfang Wu, Xu Sun

CoRR, 2019

Learning to Generate Questions by Learning What not to Generate.

Bang Liu, Mingjun Zhao, Di Niu, Kunfeng Lai, Yancheng He, Haojie Wei, Yu Xu

CoRR, 2019

Learning to Generate Questions by LearningWhat not to Generate.

Bang Liu, Mingjun Zhao, Di Niu, Kunfeng Lai, Yancheng He, Haojie Wei, Yu Xu

Proceedings of the World Wide Web Conference, 2019

Inferring Search Queries from Web Documents via a Graph-Augmented Sequence to Attention Network.

Fred X. Han, Di Niu, Kunfeng Lai, Weidong Guo, Yancheng He, Yu Xu

Proceedings of the World Wide Web Conference, 2019

A Deep Generative Approach to Search Extrapolation and Recommendation.

Fred X. Han, Di Niu, Haolan Chen, Kunfeng Lai, Yancheng He, Yu Xu

Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

Matching Article Pairs with Graphical Decomposition and Convolutions.

Bang Liu, Di Niu, Haojie Wei, Jinghong Lin, Yancheng He, Kunfeng Lai, Yu Xu

Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

Coherent Comments Generation for Chinese Articles with a Graph-to-Sequence Model.

Wei Li, Jingjing Xu, Yancheng He, Shengli Yan, Yunfang Wu, Xu Sun

Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019