Haibin Chen
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
16
Venues
7
Active years
2016–2026
Best venue rank
A*
Where they publish
Papers
16 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | ACL | PretrainRL: Alleviating Factuality Hallucination of Large Language Models at the Beginning. | Langming Liu, Kangtao Lv, Haibin Chen, Weidong Zhang, Yejing Wang, Shilei Liu, Xin Tong, Yujin Yuan, Yongwei Wang, Wenbo Su, Bo Zheng |
| 2026 | ACL | Read As Human: Compressing Context via Parallelizable Close Reading and Skimming. | Jiwei Tang, Shilei Liu, Zhicheng Zhang, Qingsong Lv, Runsong Zhao, Tingwei Lu, Langming Liu, Haibin Chen, Yujin Yuan, Hai-Tao Zheng, Wenbo Su, Bo Zheng |
| 2026 | ACL | SELECting over Tokens: Curating Pre-training Data at Scale via Token Classification. | Xin Tong, Weidong Zhang, Jiaang Li, Haibin Chen, Shilei Liu, Langming Liu, Kangtao Lv, Yujin Yuan, Wenbo Su, Bo Zheng |
| 2026 | ACL | CoMeT: Collaborative Memory Transformer for Efficient Long Context Modeling. | Runsong Zhao, Shilei Liu, Jiwei Tang, Langming Liu, Haibin Chen, Weidong Zhang, Yujin Yuan, Tong Xiao, JingBo Zhu, Wenbo Su, Bo Zheng |
| 2025 | CIKM | ECKGBench: Benchmarking Large Language Models in E-commerce Leveraging Knowledge Graph. | Langming Liu, Haibin Chen, Yuhao Wang, Yujin Yuan, Shilei Liu, Wenbo Su, Xiangyu Zhao, Bo Zheng |
| 2025 | EMNLP | How to inject knowledge efficiently? Knowledge Infusion Scaling Law for Pre-training Large Language Models. | Kangtao Lv, Haibin Chen, Yujin Yuan, Langming Liu, Shilei Liu, Yongwei Wang, 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 |
| 2024 | ACL | 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 |
| 2023 | ACL | Joint Constrained Learning with Boundary-adjusting for Emotion-Cause Pair Extraction. | Huawen Feng, Junlong Liu, Junhao Zheng, Haibin Chen, Xichen Shang, Qianli Ma |
| 2023 | ACL | Preserving Commonsense Knowledge from Pre-trained Language Models via Causal Inference. | Junhao Zheng, Qianli Ma, Shengjie Qiu, Yue Wu, Peitian Ma, Junlong Liu, Huawen Feng, Xichen Shang, Haibin Chen |
| 2022 | ACL | Cross-domain Named Entity Recognition via Graph Matching. | Junhao Zheng, Haibin Chen, Qianli Ma |
| 2022 | EMNLP | Distilling Causal Effect from Miscellaneous Other-Class for Continual Named Entity Recognition. | Junhao Zheng, Zhanxian Liang, Haibin Chen, Qianli Ma |
| 2021 | ACL | Hierarchy-aware Label Semantics Matching Network for Hierarchical Text Classification. | Haibin Chen, Qianli Ma, Zhenxi Lin, Jiangyue Yan |
| 2020 | MICCAI | Iteratively Refine the Segmentation of Head and Neck Tumor in FDG-PET and CT Images. | Huai Chen, Haibin Chen, Lisheng Wang |
| 2016 | ECAI | False-Name-Proof Mechanisms for Path Auctions in Social Networks. | Lei Zhang, Haibin Chen, Jun Wu, Chong-Jun Wang, Junyuan Xie |
| 2016 | TrustCom | New Efficient Certificateless Blind Signature Scheme. | Haibin Chen, Lei Zhang, Junyuan Xie, Chongjun Wang |