Wang, Zhilin

7 publications

ICML 2025 Diverging Preferences: When Do Annotators Disagree and Do Models Know? Michael Jq Zhang, Zhilin Wang, Jena D. Hwang, Yi Dong, Olivier Delalleau, Yejin Choi, Eunsol Choi, Xiang Ren, Valentina Pyatkin

AAAI 2025 HLMEA: Unsupervised Entity Alignment Based on Hybrid Language Models Xiongnan Jin, Zhilin Wang, Jinpeng Chen, Liu Yang, Byungkook Oh, Seung-won Hwang, Jianqiang Li

ICLR 2025 HelpSteer2-Preference: Complementing Ratings with Preferences Zhilin Wang, Alexander Bukharin, Olivier Delalleau, Daniel Egert, Gerald Shen, Jiaqi Zeng, Oleksii Kuchaiev, Yi Dong

NeurIPS 2025 HelpSteer3-Preference: Open Human-Annotated Preference Data Across Diverse Tasks and Languages Zhilin Wang, Jiaqi Zeng, Olivier Delalleau, Hoo-Chang Shin, Felipe Soares, Alexander Bukharin, Ellie Evans, Yi Dong, Oleksii Kuchaiev

NeurIPSW 2024 Diverging Preferences: When Do Annotators Disagree and Do Models Know? Michael JQ Zhang, Zhilin Wang, Jena D. Hwang, Yi Dong, Olivier Delalleau, Yejin Choi, Eunsol Choi, Xiang Ren, Valentina Pyatkin

NeurIPS 2024 HelpSteer 2: Open-Source Dataset for Training Top-Performing Reward Models Zhilin Wang, Yi Dong, Olivier Delalleau, Jiaqi Zeng, Gerald Shen, Daniel Egert, Jimmy J. Zhang, Makesh Narsimhan Sreedhar, Oleksii Kuchaiev

AAAI 2020 FFA-Net: Feature Fusion Attention Network for Single Image Dehazing Xu Qin, Zhilin Wang, Yuanchao Bai, Xiaodong Xie, Huizhu Jia