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2020 – today
- 2025
[c21]Yihong Liu, Haotian Ye, Chunlan Ma, Mingyang Wang, Hinrich Schütze:
LangSAMP: Language-Script Aware Multilingual Pretraining. ACL (1) 2025: 1743-1770- [c20]Haotian Ye, Himanshu Jain, Chong You, Ananda Theertha Suresh, Haowei Lin, James Zou, Felix X. Yu:
Efficient and Asymptotically Unbiased Constrained Decoding for Large Language Models. AISTATS 2025: 4483-4491 - [c19]Yihong Liu, Chunlan Ma, Haotian Ye, Hinrich Schütze:
TransMI: A Framework to Create Strong Baselines from Multilingual Pretrained Language Models for Transliterated Data. COLING 2025: 469-495 - [c18]Yihong Liu, Mingyang Wang, Amir Hossein Kargaran, Ayyoob Imani, Orgest Xhelili, Haotian Ye, Chunlan Ma, François Yvon, Hinrich Schütze:
How Transliterations Improve Crosslingual Alignment. COLING 2025: 2417-2433 - [c17]Haowei Lin, Shanda Li, Haotian Ye, Yiming Yang, Stefano Ermon, Yitao Liang, Jianzhu Ma:
TFG-Flow: Training-free Guidance in Multimodal Generative Flow. ICLR 2025 - [c16]Sheng Liu, Haotian Ye, James Zou:
Reducing Hallucinations in Large Vision-Language Models via Latent Space Steering. ICLR 2025 - [c15]Ivo De Souza Bueno Júnior, Haotian Ye, Axel Wisiorek, Hinrich Schütze:
Privacy-Preserving Federated Learning for Hate Speech Detection. NAACL (Student Research Workshop) 2025: 129-141 - [c14]Chunlan Ma, Ayyoob Imani, Haotian Ye, Renhao Pei
, Ehsaneddin Asgari, Hinrich Schütze:
Taxi1500: A Dataset for Multilingual Text Classification in 1500 Languages. NAACL (Short Papers) 2025: 414-439 - [i41]Haojun Yu, Youcheng Li, Nan Zhang, Zihan Niu, Xuantong Gong, Yanwen Luo, Haotian Ye, Siyu He, Quanlin Wu, Wangyan Qin, Mengyuan Zhou, Jie Han, Jia Tao, Ziwei Zhao, Di Dai, Di He, Dong Wang, Binghui Tang, Ling Huo, James Zou, Qingli Zhu, Yong Wang, Liwei Wang:
A Foundational Generative Model for Breast Ultrasound Image Analysis. CoRR abs/2501.06869 (2025) - [i40]Haowei Lin, Shanda Li, Haotian Ye, Yiming Yang, Stefano Ermon, Yitao Liang, Jianzhu Ma:
TFG-Flow: Training-free Guidance in Multimodal Generative Flow. CoRR abs/2501.14216 (2025) - [i39]Linyang He, Ercong Nie, Sukru Samet Dindar, Arsalan Firoozi, Adrian Florea, Van Nguyen, Corentin Puffay, Riki Shimizu, Haotian Ye, Jonathan Brennan, Helmut Schmid, Hinrich Schütze, Nima Mesgarani:
XCOMPS: A Multilingual Benchmark of Conceptual Minimal Pairs. CoRR abs/2502.19737 (2025) - [i38]Haowei Lin, Xiangyu Wang, Ruilin Yan, Baizhou Huang, Haotian Ye, Jianhua Zhu, Zihao Wang, James Zou, Jianzhu Ma, Yitao Liang:
Generative Evaluation of Complex Reasoning in Large Language Models. CoRR abs/2504.02810 (2025) - [i37]Fan Nie, Lan Feng, Haotian Ye, Weixin Liang, Pan Lu, Huaxiu Yao, Alexandre Alahi, James Zou:
Weak-for-Strong: Training Weak Meta-Agent to Harness Strong Executors. CoRR abs/2504.04785 (2025) - [i36]Haotian Ye, Himanshu Jain, Chong You, Ananda Theertha Suresh, Haowei Lin, James Zou, Felix X. Yu:
Efficient and Asymptotically Unbiased Constrained Decoding for Large Language Models. CoRR abs/2504.09135 (2025) - [i35]Rahul Thapa, Qingyang Wu, Kevin Wu, Harrison Zhang, Angela Zhang, Eric Wu, Haotian Ye, Suhana Bedi, Nevin Aresh, Joseph Boen, Shriya Reddy, Ben Athiwaratkun, Shuaiwen Leon Song, James Zou:
Disentangling Reasoning and Knowledge in Medical Large Language Models. CoRR abs/2505.11462 (2025) - [i34]Huayu Chen, Kaiwen Zheng, Qinsheng Zhang, Ganqu Cui, Yin Cui, Haotian Ye, Tsung-Yi Lin, Ming-Yu Liu, Jun Zhu, Haoxiang Wang:
Bridging Supervised Learning and Reinforcement Learning in Math Reasoning. CoRR abs/2505.18116 (2025) - [i33]Yuzheng Hu, Fan Wu, Haotian Ye, David A. Forsyth, James Zou, Nan Jiang, Jiaqi W. Ma, Han Zhao:
A Snapshot of Influence: A Local Data Attribution Framework for Online Reinforcement Learning. CoRR abs/2505.19281 (2025) - [i32]Xiangcheng Zhang, Haowei Lin, Haotian Ye, James Y. Zou, Jianzhu Ma, Yitao Liang, Yilun Du:
Inference-time Scaling of Diffusion Models through Classical Search. CoRR abs/2505.23614 (2025) - [i31]Sheng Liu, Tianlang Chen, Pan Lu, Haotian Ye, Yizheng Chen, Lei Xing, James Zou:
Fractional Reasoning via Latent Steering Vectors Improves Inference Time Compute. CoRR abs/2506.15882 (2025) - [i30]Jiaqi Han, Haotian Ye, Puheng Li, Minkai Xu, James Zou, Stefano Ermon:
CHORDS: Diffusion Sampling Accelerator with Multi-core Hierarchical ODE Solvers. CoRR abs/2507.15260 (2025) - [i29]Kaiwen Zheng, Huayu Chen, Haotian Ye, Haoxiang Wang, Qinsheng Zhang, Kai Jiang, Hang Su, Stefano Ermon, Jun Zhu, Ming-Yu Liu:
DiffusionNFT: Online Diffusion Reinforcement with Forward Process. CoRR abs/2509.16117 (2025) - [i28]Qiyuan He, Yicong Li, Haotian Ye, Jinghao Wang, Xinyao Liao, Pheng-Ann Heng, Stefano Ermon, James Zou, Angela Yao:
REAR: Rethinking Visual Autoregressive Models via Generator-Tokenizer Consistency Regularization. CoRR abs/2510.04450 (2025) - [i27]Arslan Ali, Junjie Bai, Maciej Bala, Yogesh Balaji, Aaron Blakeman, Tiffany Cai, Jiaxin Cao, Tianshi Cao, Elizabeth Cha, Yu-Wei Chao, Prithvijit Chattopadhyay, Mike Chen, Yongxin Chen, Yu Chen, Shuai Cheng, Yin Cui, Jenna Diamond, Yifan Ding, Jiaojiao Fan, Linxi Fan, Liang Feng, Francesco Ferroni, Sanja Fidler, Xiao Fu, Ruiyuan Gao, Yunhao Ge, Jinwei Gu, Aryaman Gupta, Siddharth Gururani, Imad El Hanafi, Ali Hassani, Zekun Hao, Jacob Huffman, Joel Jang, Pooya Jannaty, Jan Kautz, Grace Lam, Xuan Li, Zhaoshuo Li, Maosheng Liao, Chen-Hsuan Lin, Tsung-Yi Lin, Yen-Chen Lin, Huan Ling, Ming-Yu Liu, Xian Liu, Yifan Lu, Alice Luo, Qianli Ma, Hanzi Mao, Kaichun Mo, Seungjun Nah, Yashraj Narang, Abhijeet Panaskar, Lindsey Pavao, Trung Pham, Morteza Ramezanali, Fitsum Reda, Scott Reed, Xuanchi Ren, Haonan Shao, Yue Shen, Stella Shi, Shuran Song, Bartosz Stefaniak, Shangkun Sun, Shitao Tang, Sameena Tasmeen, Lyne Tchapmi, Wei-Cheng Tseng, Jibin Varghese, Andrew Z. Wang, Hao Wang, Haoxiang Wang, Heng Wang, Ting-Chun Wang, Fangyin Wei, Jiashu Xu, Dinghao Yang, Xiaodong Yang, Haotian Ye, Seonghyeon Ye, Xiaohui Zeng, Jing Zhang, Qinsheng Zhang, Kaiwen Zheng, Andrew Zhu, Yuke Zhu:
World Simulation with Video Foundation Models for Physical AI. CoRR abs/2511.00062 (2025) - [i26]Haotian Ye, Kaiwen Zheng, Jiashu Xu, Puheng Li, Huayu Chen, Jiaqi Han, Sheng Liu, Qinsheng Zhang, Hanzi Mao, Zekun Hao, Prithvijit Chattopadhyay, Dinghao Yang, Liang Feng, Maosheng Liao, Junjie Bai, Ming-Yu Liu, James Zou, Stefano Ermon:
Data-regularized Reinforcement Learning for Diffusion Models at Scale. CoRR abs/2512.04332 (2025) - [i25]Haotian Ye, Qiyuan He, Jiaqi Han, Puheng Li, Jiaojiao Fan, Zekun Hao, Fitsum Reda, Yogesh Balaji, Huayu Chen, Sheng Liu, Angela Yao, James Zou, Stefano Ermon, Haoxiang Wang, Ming-Yu Liu:
InfoTok: Adaptive Discrete Video Tokenizer via Information-Theoretic Compression. CoRR abs/2512.16975 (2025) - 2024
- [c13]Yihong Liu, Chunlan Ma, Haotian Ye, Hinrich Schütze:
TransliCo: A Contrastive Learning Framework to Address the Script Barrier in Multilingual Pretrained Language Models. ACL (1) 2024: 2476-2499 - [c12]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:
Monitoring AI-Modified Content at Scale: A Case Study on the Impact of ChatGPT on AI Conference Peer Reviews. ICML 2024 - [c11]Haowei Lin, Baizhou Huang, Haotian Ye, Qinyu Chen, Zihao Wang, Sujian Li, Jianzhu Ma, Xiaojun Wan, James Zou, Yitao Liang:
Selecting Large Language Model to Fine-tune via Rectified Scaling Law. ICML 2024 - [c10]Sheng Liu, Haotian Ye, Lei Xing, James Y. Zou:
In-context Vectors: Making In Context Learning More Effective and Controllable Through Latent Space Steering. ICML 2024 - [c9]Jiaqi Han, Minkai Xu, Aaron Lou, Haotian Ye, Stefano Ermon:
Geometric Trajectory Diffusion Models. NeurIPS 2024 - [c8]Haotian Ye, Haowei Lin, Jiaqi Han, Minkai Xu, Sheng Liu, Yitao Liang, Jianzhu Ma, James Y. Zou, Stefano Ermon:
TFG: Unified Training-Free Guidance for Diffusion Models. NeurIPS 2024 - [i24]Haotian Ye, Yihong Liu, Chunlan Ma, Hinrich Schütze:
MoSECroT: Model Stitching with Static Word Embeddings for Crosslingual Zero-shot Transfer. CoRR abs/2401.04821 (2024) - [i23]Yihong Liu, Chunlan Ma, Haotian Ye, Hinrich Schütze:
TransliCo: A Contrastive Learning Framework to Address the Script Barrier in Multilingual Pretrained Language Models. CoRR abs/2401.06620 (2024) - [i22]Haowei Lin, Baizhou Huang, Haotian Ye, Qinyu Chen, Zihao Wang, Sujian Li, Jianzhu Ma, Xiaojun Wan, James Zou, Yitao Liang:
Selecting Large Language Model to Fine-tune via Rectified Scaling Law. CoRR abs/2402.02314 (2024) - [i21]Ruichen Li, Chuwei Wang, Haotian Ye, Di He, Liwei Wang:
DOF: Accelerating High-order Differential Operators with Forward Propagation. CoRR abs/2402.09730 (2024) - [i20]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:
Monitoring AI-Modified Content at Scale: A Case Study on the Impact of ChatGPT on AI Conference Peer Reviews. CoRR abs/2403.07183 (2024) - [i19]Yihong Liu, Chunlan Ma, Haotian Ye, Hinrich Schütze:
TransMI: A Framework to Create Strong Baselines from Multilingual Pretrained Language Models for Transliterated Data. CoRR abs/2405.09913 (2024) - [i18]Chunlan Ma, Yihong Liu, Haotian Ye, Hinrich Schütze:
Exploring the Role of Transliteration in In-Context Learning for Low-resource Languages Written in Non-Latin Scripts. CoRR abs/2407.02320 (2024) - [i17]Haotian Ye, Haowei Lin, Jiaqi Han, Minkai Xu, Sheng Liu, Yitao Liang, Jianzhu Ma, James Zou, Stefano Ermon:
TFG: Unified Training-Free Guidance for Diffusion Models. CoRR abs/2409.15761 (2024) - [i16]Yihong Liu, Mingyang Wang, Amir Hossein Kargaran, Ayyoob Imani, Orgest Xhelili, Haotian Ye, Chunlan Ma, François Yvon, Hinrich Schütze:
How Transliterations Improve Crosslingual Alignment. CoRR abs/2409.17326 (2024) - [i15]Yihong Liu, Haotian Ye, Chunlan Ma, Mingyang Wang, Hinrich Schütze:
LangSAMP: Language-Script Aware Multilingual Pretraining. CoRR abs/2409.18199 (2024) - [i14]Jiaqi Han, Minkai Xu, Aaron Lou, Haotian Ye, Stefano Ermon:
Geometric Trajectory Diffusion Models. CoRR abs/2410.13027 (2024) - [i13]Sheng Liu, Haotian Ye, Lei Xing, James Zou:
Reducing Hallucinations in Vision-Language Models via Latent Space Steering. CoRR abs/2410.15778 (2024) - [i12]Haotian Ye, Axel Wisiorek, Antonis Maronikolakis, Özge Alaçam, Hinrich Schütze:
A Federated Approach to Few-Shot Hate Speech Detection for Marginalized Communities. CoRR abs/2412.04942 (2024) - 2023
- [c7]Yihong Liu, Haotian Ye, Leonie Weissweiler, Philipp Wicke, Renhao Pei, Robert Zangenfeind, Hinrich Schütze:
A Crosslingual Investigation of Conceptualization in 1335 Languages. ACL (1) 2023: 12969-13000 - [c6]Haotian Ye, James Zou, Linjun Zhang:
Freeze then Train: Towards Provable Representation Learning under Spurious Correlations and Feature Noise. AISTATS 2023: 8968-8990 - [c5]Yihong Liu, Haotian Ye, Leonie Weissweiler, Renhao Pei, Hinrich Schütze:
Crosslingual Transfer Learning for Low-Resource Languages Based on Multilingual Colexification Graphs. EMNLP (Findings) 2023: 8376-8401 - [c4]Collin Burns, Haotian Ye, Dan Klein, Jacob Steinhardt:
Discovering Latent Knowledge in Language Models Without Supervision. ICLR 2023 - [c3]Haotian Ye, Xiaoyu Chen, Liwei Wang, Simon Shaolei Du:
On the Power of Pre-training for Generalization in RL: Provable Benefits and Hardness. ICML 2023: 39770-39800 - [c2]Guhao Feng, Bohang Zhang, Yuntian Gu, Haotian Ye, Di He, Liwei Wang:
Towards Revealing the Mystery behind Chain of Thought: A Theoretical Perspective. NeurIPS 2023 - [i11]Yihong Liu, Haotian Ye, Leonie Weissweiler, Philipp Wicke, Renhao Pei, Robert Zangenfeind, Hinrich Schütze:
A Crosslingual Investigation of Conceptualization in 1335 Languages. CoRR abs/2305.08475 (2023) - [i10]Chunlan Ma, Ayyoob Imani, Haotian Ye, Ehsaneddin Asgari, Hinrich Schütze:
Taxi1500: A Multilingual Dataset for Text Classification in 1500 Languages. CoRR abs/2305.08487 (2023) - [i9]Yihong Liu, Haotian Ye, Leonie Weissweiler, Hinrich Schütze:
Crosslingual Transfer Learning for Low-Resource Languages Based on Multilingual Colexification Graphs. CoRR abs/2305.12818 (2023) - [i8]Haotian Ye, Yihong Liu, Hinrich Schütze:
A study of conceptual language similarity: comparison and evaluation. CoRR abs/2305.13401 (2023) - [i7]Guhao Feng, Bohang Zhang, Yuntian Gu, Haotian Ye, Di He, Liwei Wang:
Towards Revealing the Mystery behind Chain of Thought: a Theoretical Perspective. CoRR abs/2305.15408 (2023) - [i6]Ruichen Li, Haotian Ye, Du Jiang, Xuelan Wen, Chuwei Wang, Zhe Li, Xiang Li, Di He, Ji Chen, Weiluo Ren, Liwei Wang:
Forward Laplacian: A New Computational Framework for Neural Network-based Variational Monte Carlo. CoRR abs/2307.08214 (2023) - 2022
- [i5]Haotian Ye, Xiaoyu Chen, Liwei Wang, Simon S. Du:
On the Power of Pre-training for Generalization in RL: Provable Benefits and Hardness. CoRR abs/2210.10464 (2022) - [i4]Haotian Ye, James Zou, Linjun Zhang:
Freeze then Train: Towards Provable Representation Learning under Spurious Correlations and Feature Noise. CoRR abs/2210.11075 (2022) - [i3]Collin Burns, Haotian Ye, Dan Klein, Jacob Steinhardt:
Discovering Latent Knowledge in Language Models Without Supervision. CoRR abs/2212.03827 (2022) - 2021
- [c1]Haotian Ye, Chuanlong Xie, Tianle Cai, Ruichen Li, Zhenguo Li, Liwei Wang:
Towards a Theoretical Framework of Out-of-Distribution Generalization. NeurIPS 2021: 23519-23531 - [i2]Haotian Ye, Chuanlong Xie, Yue Liu, Zhenguo Li:
Out-of-Distribution Generalization Analysis via Influence Function. CoRR abs/2101.08521 (2021) - [i1]Haotian Ye, Chuanlong Xie, Tianle Cai, Ruichen Li, Zhenguo Li, Liwei Wang:
Towards a Theoretical Framework of Out-of-Distribution Generalization. CoRR abs/2106.04496 (2021)
Coauthor Index
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