| 2026 | DATE | A Reliability-Physics-Based Approach for Data Tampering Detection in Commercial 3D-NAND Flash Memory. | Yuhan Wang, Jian Huang, Ruibin Zhou, Yao Liu, Haotian Ye, Xianping Liu |
| 2026 | EACL | Reasoning or Knowledge: Stratified Evaluation of Biomedical LLMs. | Rahul Thapa, Qingyang Wu, Kevin Wu, Harrison Zhang, Angela Zhang, Eric Wu, Haotian Ye, James Zou |
| 2025 | ACL | LangSAMP: Language-Script Aware Multilingual Pretraining. | Yihong Liu, Haotian Ye, Chunlan Ma, Mingyang Wang, Hinrich Schtze |
| 2025 | AISTATS | Efficient and Asymptotically Unbiased Constrained Decoding for Large Language Models. | Haotian Ye, Himanshu Jain, Chong You, Ananda Theertha Suresh, Haowei Lin, James Zou, Felix X. Yu |
| 2025 | COLING | TransMI: A Framework to Create Strong Baselines from Multilingual Pretrained Language Models for Transliterated Data. | Yihong Liu, Chunlan Ma, Haotian Ye, Hinrich Schtze |
| 2025 | COLING | How Transliterations Improve Crosslingual Alignment. | Yihong Liu, Mingyang Wang, Amir Hossein Kargaran, Ayyoob Imani, Orgest Xhelili, Haotian Ye, Chunlan Ma, Franois Yvon, Hinrich Schtze |
| 2025 | ICCV | CHORDS: Diffusion Sampling Accelerator with Multi-Core Hierarchical ODE Solvers. | Jiaqi Han, Haotian Ye, Puheng Li, Minkai Xu, James Zou, Stefano Ermon |
| 2025 | ICLR | TFG-Flow: Training-free Guidance in Multimodal Generative Flow. | Haowei Lin, Shanda Li, Haotian Ye, Yiming Yang, Stefano Ermon, Yitao Liang, Jianzhu Ma |
| 2025 | ICLR | Reducing Hallucinations in Large Vision-Language Models via Latent Space Steering. | Sheng Liu, Haotian Ye, James Zou |
| 2025 | NAACL | Privacy-Preserving Federated Learning for Hate Speech Detection. | Ivo De Souza Bueno Jnior, Haotian Ye, Axel Wisiorek, Hinrich Schtze |
| 2025 | NAACL | Taxi1500: A Dataset for Multilingual Text Classification in 1500 Languages. | Chunlan Ma, Ayyoob Imani, Haotian Ye, Renhao Pei, Ehsaneddin Asgari, Hinrich Schtze |
| 2024 | ACL | TransliCo: A Contrastive Learning Framework to Address the Script Barrier in Multilingual Pretrained Language Models. | Yihong Liu, Chunlan Ma, Haotian Ye, Hinrich Schtze |
| 2024 | ICML | Monitoring AI-Modified Content at Scale: A Case Study on the Impact of ChatGPT on AI Conference Peer Reviews. | Weixin Liang, Zachary Izzo, Yaohui Zhang, Haley Lepp, Hancheng Cao, Xuandong Zhao, Lingjiao Chen, Haotian Ye, Sheng Liu, Zhi Huang, Daniel A. McFarland, James Y. Zou |
| 2024 | ICML | Selecting Large Language Model to Fine-tune via Rectified Scaling Law. | Haowei Lin, Baizhou Huang, Haotian Ye, Qinyu Chen, Zihao Wang, Sujian Li, Jianzhu Ma, Xiaojun Wan, James Zou, Yitao Liang |
| 2024 | ICML | In-context Vectors: Making In Context Learning More Effective and Controllable Through Latent Space Steering. | Sheng Liu, Haotian Ye, Lei Xing, James Y. Zou |
| 2023 | ACL | A Crosslingual Investigation of Conceptualization in 1335 Languages. | Yihong Liu, Haotian Ye, Leonie Weissweiler, Philipp Wicke, Renhao Pei, Robert Zangenfeind, Hinrich Schtze |
| 2023 | AISTATS | Freeze then Train: Towards Provable Representation Learning under Spurious Correlations and Feature Noise. | Haotian Ye, James Zou, Linjun Zhang |
| 2023 | EMNLP | Crosslingual Transfer Learning for Low-Resource Languages Based on Multilingual Colexification Graphs. | Yihong Liu, Haotian Ye, Leonie Weissweiler, Renhao Pei, Hinrich Schtze |
| 2023 | ICLR | Discovering Latent Knowledge in Language Models Without Supervision. | Collin Burns, Haotian Ye, Dan Klein, Jacob Steinhardt |
| 2023 | ICML | On the Power of Pre-training for Generalization in RL: Provable Benefits and Hardness. | Haotian Ye, Xiaoyu Chen, Liwei Wang, Simon Shaolei Du |