Haotian Ye - RankMe

64 papers A* 11A 2B 2Journal 42Unranked 7

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Adaptive Spectral Feature Forecasting for Diffusion Sampling Acceleration. CoRR Jiaqi Han, Juntong Shi, Puheng Li, Haotian Ye, Qiushan Guo, Stefano Ermon
2026	J	`jnl`	ChipBench: A Next-Step Benchmark for Evaluating LLM Performance in AI-Aided Chip Design. CoRR Zhongkai Yu, Chenyang Zhou, Yichen Lin, Hejia Zhang, Haotian Ye, Junxia Cui, Zaifeng Pan, Jishen Zhao, Yufei Ding
2026	—	`conf`	Reasoning or Knowledge: Stratified Evaluation of Biomedical LLMs. EACL (Volume 1: Long Papers) Rahul Thapa, Qingyang Wu, Kevin Wu, Harrison Zhang, Angela Zhang, Eric Wu, Haotian Ye, James Zou
2025	J	`jnl`	A Foundational Generative Model for Breast Ultrasound Image Analysis. CoRR 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
2025	J	`jnl`	A Snapshot of Influence: A Local Data Attribution Framework for Online Reinforcement Learning. CoRR Yuzheng Hu, Fan Wu, Haotian Ye, David A. Forsyth, James Zou, Nan Jiang, Jiaqi W. Ma, Han Zhao
2025	J	`jnl`	Bridging Supervised Learning and Reinforcement Learning in Math Reasoning. CoRR Huayu Chen, Kaiwen Zheng, Qinsheng Zhang, Ganqu Cui, Yin Cui, Haotian Ye, Tsung-Yi Lin, Ming-Yu Liu, Jun Zhu, Haoxiang Wang
2025	J	`jnl`	CHORDS: Diffusion Sampling Accelerator with Multi-core Hierarchical ODE Solvers. CoRR Jiaqi Han, Haotian Ye, Puheng Li, Minkai Xu, James Zou, Stefano Ermon
2025	J	`jnl`	Data-regularized Reinforcement Learning for Diffusion Models at Scale. CoRR 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
2025	J	`jnl`	DiffusionNFT: Online Diffusion Reinforcement with Forward Process. CoRR Kaiwen Zheng, Huayu Chen, Haotian Ye, Haoxiang Wang, Qinsheng Zhang, Kai Jiang, Hang Su, Stefano Ermon, Jun Zhu, Ming-Yu Liu
2025	J	`jnl`	Disentangling Reasoning and Knowledge in Medical Large Language Models. CoRR 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
2025	A	`conf`	Efficient and Asymptotically Unbiased Constrained Decoding for Large Language Models. AISTATS Haotian Ye, Himanshu Jain, Chong You, Ananda Theertha Suresh, Haowei Lin, James Zou, Felix X. Yu
2025	J	`jnl`	Efficient and Asymptotically Unbiased Constrained Decoding for Large Language Models. CoRR Haotian Ye, Himanshu Jain, Chong You, Ananda Theertha Suresh, Haowei Lin, James Zou, Felix X. Yu
2025	J	`jnl`	Fractional Reasoning via Latent Steering Vectors Improves Inference Time Compute. CoRR Sheng Liu, Tianlang Chen, Pan Lu, Haotian Ye, Yizheng Chen, Lei Xing, James Zou
2025	J	`jnl`	Generative Evaluation of Complex Reasoning in Large Language Models. CoRR Haowei Lin, Xiangyu Wang, Ruilin Yan, Baizhou Huang, Haotian Ye, Jianhua Zhu, Zihao Wang, James Zou, Jianzhu Ma, Yitao Liang
2025	B	`conf`	How Transliterations Improve Crosslingual Alignment. COLING Yihong Liu, Mingyang Wang, Amir Hossein Kargaran, Ayyoob Imani, Orgest Xhelili, Haotian Ye, Chunlan Ma, François Yvon, Hinrich Schütze
2025	J	`jnl`	Inference-time Scaling of Diffusion Models through Classical Search. CoRR Xiangcheng Zhang, Haowei Lin, Haotian Ye, James Y. Zou, Jianzhu Ma, Yitao Liang, Yilun Du
2025	J	`jnl`	InfoTok: Adaptive Discrete Video Tokenizer via Information-Theoretic Compression. CoRR 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
2025	—	`conf`	LangSAMP: Language-Script Aware Multilingual Pretraining. ACL (1) Yihong Liu, Haotian Ye, Chunlan Ma, Mingyang Wang, Hinrich Schütze
2025	—	`conf`	Privacy-Preserving Federated Learning for Hate Speech Detection. NAACL (Student Research Workshop) Ivo De Souza Bueno Júnior, Haotian Ye, Axel Wisiorek, Hinrich Schütze
2025	J	`jnl`	REAR: Rethinking Visual Autoregressive Models via Generator-Tokenizer Consistency Regularization. CoRR Qiyuan He, Yicong Li, Haotian Ye, Jinghao Wang, Xinyao Liao, Pheng-Ann Heng, Stefano Ermon, James Zou, Angela Yao
2025	A*	`conf`	Reducing Hallucinations in Large Vision-Language Models via Latent Space Steering. ICLR Sheng Liu, Haotian Ye, James Zou
2025	A*	`conf`	TFG-Flow: Training-free Guidance in Multimodal Generative Flow. ICLR Haowei Lin, Shanda Li, Haotian Ye, Yiming Yang, Stefano Ermon, Yitao Liang, Jianzhu Ma
2025	J	`jnl`	TFG-Flow: Training-free Guidance in Multimodal Generative Flow. CoRR Haowei Lin, Shanda Li, Haotian Ye, Yiming Yang, Stefano Ermon, Yitao Liang, Jianzhu Ma
2025	—	`conf`	Taxi1500: A Dataset for Multilingual Text Classification in 1500 Languages. NAACL (Short Papers) Chunlan Ma, Ayyoob Imani, Haotian Ye, Renhao Pei, Ehsaneddin Asgari, Hinrich Schütze
2025	B	`conf`	TransMI: A Framework to Create Strong Baselines from Multilingual Pretrained Language Models for Transliterated Data. COLING Yihong Liu, Chunlan Ma, Haotian Ye, Hinrich Schütze
2025	J	`jnl`	Weak-for-Strong: Training Weak Meta-Agent to Harness Strong Executors. CoRR Fan Nie, Lan Feng, Haotian Ye, Weixin Liang, Pan Lu, Huaxiu Yao, Alexandre Alahi, James Zou
2025	J	`jnl`	XCOMPS: A Multilingual Benchmark of Conceptual Minimal Pairs. CoRR 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
2024	J	`jnl`	A Federated Approach to Few-Shot Hate Speech Detection for Marginalized Communities. CoRR Haotian Ye, Axel Wisiorek, Antonis Maronikolakis, Özge Alaçam, Hinrich Schütze
2024	J	`jnl`	DOF: Accelerating High-order Differential Operators with Forward Propagation. CoRR Ruichen Li, Chuwei Wang, Haotian Ye, Di He, Liwei Wang
2024	J	`jnl`	Exploring the Role of Transliteration in In-Context Learning for Low-resource Languages Written in Non-Latin Scripts. CoRR Chunlan Ma, Yihong Liu, Haotian Ye, Hinrich Schütze
2024	A*	`conf`	Geometric Trajectory Diffusion Models. NeurIPS Jiaqi Han, Minkai Xu, Aaron Lou, Haotian Ye, Stefano Ermon
2024	J	`jnl`	Geometric Trajectory Diffusion Models. CoRR Jiaqi Han, Minkai Xu, Aaron Lou, Haotian Ye, Stefano Ermon
2024	J	`jnl`	How Transliterations Improve Crosslingual Alignment. CoRR Yihong Liu, Mingyang Wang, Amir Hossein Kargaran, Ayyoob Imani, Orgest Xhelili, Haotian Ye, Chunlan Ma, François Yvon, Hinrich Schütze
2024	A*	`conf`	In-context Vectors: Making In Context Learning More Effective and Controllable Through Latent Space Steering. ICML Sheng Liu, Haotian Ye, Lei Xing, James Y. Zou
2024	J	`jnl`	LangSAMP: Language-Script Aware Multilingual Pretraining. CoRR Yihong Liu, Haotian Ye, Chunlan Ma, Mingyang Wang, Hinrich Schütze
2024	J	`jnl`	MoSECroT: Model Stitching with Static Word Embeddings for Crosslingual Zero-shot Transfer. CoRR Haotian Ye, Yihong Liu, Chunlan Ma, Hinrich Schütze
2024	A*	`conf`	Monitoring AI-Modified Content at Scale: A Case Study on the Impact of ChatGPT on AI Conference Peer Reviews. ICML 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	J	`jnl`	Monitoring AI-Modified Content at Scale: A Case Study on the Impact of ChatGPT on AI Conference Peer Reviews. CoRR 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	J	`jnl`	Reducing Hallucinations in Vision-Language Models via Latent Space Steering. CoRR Sheng Liu, Haotian Ye, Lei Xing, James Zou
2024	A*	`conf`	Selecting Large Language Model to Fine-tune via Rectified Scaling Law. ICML Haowei Lin, Baizhou Huang, Haotian Ye, Qinyu Chen, Zihao Wang, Sujian Li, Jianzhu Ma, Xiaojun Wan, James Zou, Yitao Liang
2024	J	`jnl`	Selecting Large Language Model to Fine-tune via Rectified Scaling Law. CoRR Haowei Lin, Baizhou Huang, Haotian Ye, Qinyu Chen, Zihao Wang, Sujian Li, Jianzhu Ma, Xiaojun Wan, James Zou, Yitao Liang
2024	A*	`conf`	TFG: Unified Training-Free Guidance for Diffusion Models. NeurIPS Haotian Ye, Haowei Lin, Jiaqi Han, Minkai Xu, Sheng Liu, Yitao Liang, Jianzhu Ma, James Y. Zou, Stefano Ermon
2024	J	`jnl`	TFG: Unified Training-Free Guidance for Diffusion Models. CoRR Haotian Ye, Haowei Lin, Jiaqi Han, Minkai Xu, Sheng Liu, Yitao Liang, Jianzhu Ma, James Zou, Stefano Ermon
2024	J	`jnl`	TransMI: A Framework to Create Strong Baselines from Multilingual Pretrained Language Models for Transliterated Data. CoRR Yihong Liu, Chunlan Ma, Haotian Ye, Hinrich Schütze
2024	—	`conf`	TransliCo: A Contrastive Learning Framework to Address the Script Barrier in Multilingual Pretrained Language Models. ACL (1) Yihong Liu, Chunlan Ma, Haotian Ye, Hinrich Schütze
2024	J	`jnl`	TransliCo: A Contrastive Learning Framework to Address the Script Barrier in Multilingual Pretrained Language Models. CoRR Yihong Liu, Chunlan Ma, Haotian Ye, Hinrich Schütze
2023	—	`conf`	A Crosslingual Investigation of Conceptualization in 1335 Languages. ACL (1) Yihong Liu, Haotian Ye, Leonie Weissweiler, Philipp Wicke, Renhao Pei, Robert Zangenfeind, Hinrich Schütze
2023	J	`jnl`	A Crosslingual Investigation of Conceptualization in 1335 Languages. CoRR Yihong Liu, Haotian Ye, Leonie Weissweiler, Philipp Wicke, Renhao Pei, Robert Zangenfeind, Hinrich Schütze
2023	J	`jnl`	A study of conceptual language similarity: comparison and evaluation. CoRR Haotian Ye, Yihong Liu, Hinrich Schütze
2023	—	`conf`	Crosslingual Transfer Learning for Low-Resource Languages Based on Multilingual Colexification Graphs. EMNLP (Findings) Yihong Liu, Haotian Ye, Leonie Weissweiler, Renhao Pei, Hinrich Schütze
2023	J	`jnl`	Crosslingual Transfer Learning for Low-Resource Languages Based on Multilingual Colexification Graphs. CoRR Yihong Liu, Haotian Ye, Leonie Weissweiler, Hinrich Schütze
2023	A*	`conf`	Discovering Latent Knowledge in Language Models Without Supervision. ICLR Collin Burns, Haotian Ye, Dan Klein, Jacob Steinhardt
2023	J	`jnl`	Forward Laplacian: A New Computational Framework for Neural Network-based Variational Monte Carlo. CoRR Ruichen Li, Haotian Ye, Du Jiang, Xuelan Wen, Chuwei Wang, Zhe Li, Xiang Li, Di He, Ji Chen, Weiluo Ren, Liwei Wang
2023	A	`conf`	Freeze then Train: Towards Provable Representation Learning under Spurious Correlations and Feature Noise. AISTATS Haotian Ye, James Zou, Linjun Zhang
2023	A*	`conf`	On the Power of Pre-training for Generalization in RL: Provable Benefits and Hardness. ICML Haotian Ye, Xiaoyu Chen, Liwei Wang, Simon Shaolei Du
2023	J	`jnl`	Taxi1500: A Multilingual Dataset for Text Classification in 1500 Languages. CoRR Chunlan Ma, Ayyoob Imani, Haotian Ye, Ehsaneddin Asgari, Hinrich Schütze
2023	A*	`conf`	Towards Revealing the Mystery behind Chain of Thought: A Theoretical Perspective. NeurIPS Guhao Feng, Bohang Zhang, Yuntian Gu, Haotian Ye, Di He, Liwei Wang
2023	J	`jnl`	Towards Revealing the Mystery behind Chain of Thought: a Theoretical Perspective. CoRR Guhao Feng, Bohang Zhang, Yuntian Gu, Haotian Ye, Di He, Liwei Wang
2022	J	`jnl`	Discovering Latent Knowledge in Language Models Without Supervision. CoRR Collin Burns, Haotian Ye, Dan Klein, Jacob Steinhardt
2022	J	`jnl`	Freeze then Train: Towards Provable Representation Learning under Spurious Correlations and Feature Noise. CoRR Haotian Ye, James Zou, Linjun Zhang
2022	J	`jnl`	On the Power of Pre-training for Generalization in RL: Provable Benefits and Hardness. CoRR Haotian Ye, Xiaoyu Chen, Liwei Wang, Simon S. Du
2021	J	`jnl`	Out-of-Distribution Generalization Analysis via Influence Function. CoRR Haotian Ye, Chuanlong Xie, Yue Liu, Zhenguo Li
2021	A*	`conf`	Towards a Theoretical Framework of Out-of-Distribution Generalization. NeurIPS Haotian Ye, Chuanlong Xie, Tianle Cai, Ruichen Li, Zhenguo Li, Liwei Wang
2021	J	`jnl`	Towards a Theoretical Framework of Out-of-Distribution Generalization. CoRR Haotian Ye, Chuanlong Xie, Tianle Cai, Ruichen Li, Zhenguo Li, Liwei Wang