Yancheng He
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
35
Venues
11
Active years
2019–2026
Best venue rank
A*
Where they publish
Papers
35 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | AAAI | Long-form RewardBench: Evaluating Reward Models for Long-form Generation. | Hui Huang, Yancheng He, Wei Liu, Muyun Yang, Jiaheng Liu, Kehai Chen, Bing Xu, Conghui Zhu, Hailong Cao, Tiejun Zhao |
| 2026 | AAAI | Think-J: Learning to Think for Generative LLM-as-a-Judge. | Hui Huang, Yancheng He, Hongli Zhou, Rui Zhang, Wei Liu, Weixun Wang, Jiaheng Liu, Wenbo Su |
| 2026 | ACL | CE-RM: A Pointwise Generative Reward Model Optimized via Two-Stage Rollout and Unified Criteria. | Xinyu Hu, Yancheng He, Weixun Wang, Tao Feng, Li Lin, Jiashun Liu, Wenbo Su, Bo Zheng, Xiaojun Wan |
| 2026 | ACL | UniMoE-Audio: Unified Speech and Music Generation with Dynamic-Capacity Mixture-of-Experts. | Zhenyu Liu, Yunxin Li, Xuanyu Zhang, Qixun Teng, Shenyuan Jiang, Xinyu Chen, Haoyuan Shi, Haolan Chen, Fanbo Meng, Mingjun Zhao, Yu Xu, Yancheng He, Baotian Hu, Haizhou Li, Min Zhang |
| 2026 | ACL | Hierarchical Acoustic-Semantic Modeling: Modality Separation and Semantic Coherence for Full-Duplex SLMs. | Zhenyu Liu, Xuanyu Zhang, Yunxin Li, Qixun Teng, Shenyuan Jiang, Haolan Chen, Mingjun Zhao, Fanbo Meng, Yu Xu, Yancheng He, Baotian Hu, Haizhou Li, Min Zhang |
| 2025 | ACL | 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 |
| 2025 | ACL | 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 |
| 2025 | ACL | 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 |
| 2025 | ACL | 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 |
| 2025 | ACL | 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 |
| 2025 | EMNLP | Token Preference Optimization with Self-Calibrated Visual-Anchored Rewards for Hallucination Mitigation. | Jihao Gu, Yingyao Wang, Meng Cao, Pi Bu, Jun Song, Bo Zheng, Yancheng He, Shilong Li |
| 2025 | EMNLP | AIR: Complex Instruction Generation via Automatic Iterative Refinement. | Wei Liu, Yancheng He, Yu Li, Hui Huang, Chengwei Hu, Jiaheng Liu, Shilong Li, Wenbo Su, Bo Zheng |
| 2025 | KDD | 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 |
| 2025 | NAACL | 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 |
| 2025 | NAACL | 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 |
| 2024 | ACL | 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 |
| 2024 | EMNLP | 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 |
| 2024 | PAKDD | MDAN: Multi-distribution Adaptive Networks for LTV Prediction. | Wenshuang Liu, Guoqiang Xu, Bada Ye, Xinji Luo, Yancheng He, Cunxiang Yin |
| 2024 | SIGIR | 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 |
| 2023 | ICASSP | Using Auxiliary Tasks In Multimodal Fusion of Wav2vec 2.0 And Bert for Multimodal Emotion Recognition. | Dekai Sun, Yancheng He, Jiqing Han |
| 2023 | PAKDD | 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 |
| 2022 | PAKDD | Causal Enhanced Uplift Model. | Xiaofeng He, Guoqiang Xu, Cunxiang Yin, Zhongyu Wei, Yuncong Li, Yancheng He, Jing Cai |
| 2022 | PAKDD | Learning Discriminative Representation Base on Attention for Uplift. | Guoqiang Xu, Cunxiang Yin, Yuchen Zhang, Yuncong Li, Yancheng He, Jing Cai, Zhongyu Wei |
| 2022 | RecSys | Modeling User Repeat Consumption Behavior for Online Novel Recommendation. | Yuncong Li, Cunxiang Yin, Yancheng He, Guoqiang Xu, Jing Cai, Leeven Luo, Sheng-hua Zhong |
| 2021 | ACL | Align Voting Behavior with Public Statements for Legislator Representation Learning. | Xinyi Mou, Zhongyu Wei, Lei Chen, Shangyi Ning, Yancheng He, Changjian Jiang, Xuanjing Huang |
| 2021 | CIKM | 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 |
| 2021 | CIKM | Query-Variant Advertisement Text Generation with Association Knowledge. | Siyu Duan, Wei Li, Jing Cai, Yancheng He, Yunfang Wu |
| 2021 | KDD | 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 |
| 2021 | WWW | 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 |
| 2020 | WWW | Asking Questions the Human Way: Scalable Question-Answer Generation from Text Corpus. | Bang Liu, Haojie Wei, Di Niu, Haolan Chen, Yancheng He |
| 2019 | ACL | Matching Article Pairs with Graphical Decomposition and Convolutions. | Bang Liu, Di Niu, Haojie Wei, Jinghong Lin, Yancheng He, Kunfeng Lai, Yu Xu |
| 2019 | ACL | Coherent Comments Generation for Chinese Articles with a Graph-to-Sequence Model. | Wei Li, Jingjing Xu, Yancheng He, Shengli Yan, Yunfang Wu, Xu Sun |
| 2019 | KDD | A Deep Generative Approach to Search Extrapolation and Recommendation. | Fred X. Han, Di Niu, Haolan Chen, Kunfeng Lai, Yancheng He, Yu Xu |
| 2019 | WWW | 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 |
| 2019 | WWW | Learning to Generate Questions by LearningWhat not to Generate. | Bang Liu, Mingjun Zhao, Di Niu, Kunfeng Lai, Yancheng He, Haojie Wei, Yu Xu |