Haotian Ye

According to our database, Haotian Ye authored at least 53 papers between 2021 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

ChipMATE: Multi-Agent Training via Reinforcement Learning for Enhanced RTL Generation.

Zhongkai Yu, Yichen Lin, Chenyang Zhou, Yuwei Zhang, Kun Zhou, Junxia Cui, Haotian Ye, Zhengding Hu, Zaifeng Pan, Ruiyi Wang, Yujie Zhao, Hejia Zhang, Jingbo Shang, Jishen Zhao, Yufei Ding

CoRR, May, 2026

AMMA: A Multi-Chiplet Memory-Centric Architecture for Low-Latency 1M Context Attention Serving.

Zhongkai Yu, Haotian Ye, Chenyang Zhou, Ohm Rishabh Venkatachalam, Zaifeng Pan, Zhengding Hu, Junsung Kim, Won Woo Ro, Po-An Tsai, Shuyi Pei, Yangwook Kang, Yufei Ding

CoRR, April, 2026

Evaluation-driven Scaling for Scientific Discovery.

Haotian Ye, Haowei Lin, Jingyi Tang, Yizhen Luo, Caiyin Yang, Chang Su, Rahul Thapa, Rui Yang, Ruihua Liu, Zeyu Li, Chong Gao, Dachao Ding, Guangrong He, Miaolei Zhang, Lina Sun, Wenyang Wang, Yuchen Zhong, Zhuohao Shen, Di He, Jianfeng Ma, Stefano Ermon, Tongyang Li, Xiaowen Chu, James Z. Wang, Yuzhi Xu

CoRR, April, 2026

CulturALL: Benchmarking Multilingual and Multicultural Competence of LLMs on Grounded Tasks.

Peiqin Lin, Chenyang Lyu, Wenjiang Luo, Haotian Ye, Md Mehrab Hossain, Chunlan Ma, Shaoxiong Ji, Younes Samih, Bo Zeng, Fan Jiang, Yuanbin Cao, Dilda Duisenbek, Adrian Neo Sau Xun, Daria Pozdniakova, Liubou Misevich, Nevena Marinkovic, Ngoc Gia Linh Nguyen, Thi Khanh Linh Do, Sarakmatak Sophy, Baotian Hu, Guanhua Chen, Gongbo Tang, Alham Fikri Aji, Longyue Wang, Weihua Luo

CoRR, April, 2026

Adaptive Spectral Feature Forecasting for Diffusion Sampling Acceleration.

Jiaqi Han, Juntong Shi, Puheng Li, Haotian Ye, Qiushan Guo, Stefano Ermon

CoRR, March, 2026

ChipBench: A Next-Step Benchmark for Evaluating LLM Performance in AI-Aided Chip Design.

Zhongkai Yu, Chenyang Zhou, Yichen Lin, Hejia Zhang, Haotian Ye, Junxia Cui, Zaifeng Pan, Jishen Zhao, Yufei Ding

CoRR, January, 2026

Reasoning or Knowledge: Stratified Evaluation of Biomedical LLMs.

Rahul Thapa, Qingyang Wu, Kevin Wu, Harrison Zhang, Angela Zhang, Eric Wu, Haotian Ye, James Zou

Proceedings of the 19th Conference of the European Chapter of the Association for Computational Linguistics, 2026

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

Proceedings of the Design, Automation & Test in Europe Conference, 2026

2025

InfoTok: Adaptive Discrete Video Tokenizer via Information-Theoretic Compression.

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

CoRR, December, 2025

Data-regularized Reinforcement Learning for Diffusion Models at Scale.

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

CoRR, December, 2025

REAR: Rethinking Visual Autoregressive Models via Generator-Tokenizer Consistency Regularization.

Qiyuan He, Yicong Li, Haotian Ye, Jinghao Wang, Xinyao Liao, Pheng-Ann Heng, Stefano Ermon, James Zou, Angela Yao

CoRR, October, 2025

DiffusionNFT: Online Diffusion Reinforcement with Forward Process.

Kaiwen Zheng, Huayu Chen, Haotian Ye, Haoxiang Wang, Qinsheng Zhang, Kai Jiang, Hang Su, Stefano Ermon, Jun Zhu, Ming-Yu Liu

CoRR, September, 2025

Fractional Reasoning via Latent Steering Vectors Improves Inference Time Compute.

Sheng Liu, Tianlang Chen, Pan Lu, Haotian Ye, Yizheng Chen, Lei Xing, James Zou

CoRR, June, 2025

Inference-time Scaling of Diffusion Models through Classical Search.

Xiangcheng Zhang, Haowei Lin, Haotian Ye, James Y. Zou, Jianzhu Ma, Yitao Liang, Yilun Du

CoRR, May, 2025

A Snapshot of Influence: A Local Data Attribution Framework for Online Reinforcement Learning.

Yuzheng Hu, Fan Wu, Haotian Ye, David A. Forsyth, James Zou, Nan Jiang, Jiaqi W. Ma, Han Zhao

CoRR, May, 2025

Bridging Supervised Learning and Reinforcement Learning in Math Reasoning.

Huayu Chen, Kaiwen Zheng, Qinsheng Zhang, Ganqu Cui, Yin Cui, Haotian Ye, Tsung-Yi Lin, Ming-Yu Liu, Jun Zhu, Haoxiang Wang

CoRR, May, 2025

Disentangling Reasoning and Knowledge in Medical Large Language Models.

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

CoRR, May, 2025

Weak-for-Strong: Training Weak Meta-Agent to Harness Strong Executors.

Fan Nie, Lan Feng, Haotian Ye, Weixin Liang, Pan Lu, Huaxiu Yao, Alexandre Alahi, James Zou

CoRR, April, 2025

Generative Evaluation of Complex Reasoning in Large Language Models.

Haowei Lin, Xiangyu Wang, Ruilin Yan, Baizhou Huang, Haotian Ye, Jianhua Zhu, Zihao Wang, James Zou, Jianzhu Ma, Yitao Liang

CoRR, April, 2025

XCOMPS: A Multilingual Benchmark of Conceptual Minimal Pairs.

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

CoRR, February, 2025

A Foundational Generative Model for Breast Ultrasound Image Analysis.

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

CoRR, January, 2025

Taxi1500: A Dataset for Multilingual Text Classification in 1500 Languages.

Chunlan Ma, Ayyoob Imani, Haotian Ye, Renhao Pei, Ehsaneddin Asgari, Hinrich Schütze

Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies, 2025

Privacy-Preserving Federated Learning for Hate Speech Detection.

Ivo De Souza Bueno Júnior, Haotian Ye, Axel Wisiorek, Hinrich Schütze

Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies, 2025

Reducing Hallucinations in Large Vision-Language Models via Latent Space Steering.

Sheng Liu, Haotian Ye, James Zou

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

TFG-Flow: Training-free Guidance in Multimodal Generative Flow.

Haowei Lin, Shanda Li, Haotian Ye, Yiming Yang, Stefano Ermon, Yitao Liang, Jianzhu Ma

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

CHORDS: Diffusion Sampling Accelerator with Multi-Core Hierarchical ODE Solvers.

Jiaqi Han, Haotian Ye, Puheng Li, Minkai Xu, James Zou, Stefano Ermon

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2025

How Transliterations Improve Crosslingual Alignment.

Yihong Liu, Mingyang Wang, Amir Hossein Kargaran, Ayyoob Imani, Orgest Xhelili, Haotian Ye, Chunlan Ma, François Yvon, Hinrich Schütze

Proceedings of the 31st International Conference on Computational Linguistics, 2025

TransMI: A Framework to Create Strong Baselines from Multilingual Pretrained Language Models for Transliterated Data.

Yihong Liu, Chunlan Ma, Haotian Ye, Hinrich Schütze

Proceedings of the 31st International Conference on Computational Linguistics, 2025

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

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2025

LangSAMP: Language-Script Aware Multilingual Pretraining.

Yihong Liu, Haotian Ye, Chunlan Ma, Mingyang Wang, Hinrich Schütze

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

2024

A Federated Approach to Few-Shot Hate Speech Detection for Marginalized Communities.

Haotian Ye, Axel Wisiorek, Antonis Maronikolakis, Özge Alaçam, Hinrich Schütze

CoRR, 2024

Reducing Hallucinations in Vision-Language Models via Latent Space Steering.

Sheng Liu, Haotian Ye, Lei Xing, James Zou

CoRR, 2024

Exploring the Role of Transliteration in In-Context Learning for Low-resource Languages Written in Non-Latin Scripts.

Chunlan Ma, Yihong Liu, Haotian Ye, Hinrich Schütze

CoRR, 2024

DOF: Accelerating High-order Differential Operators with Forward Propagation.

Ruichen Li, Chuwei Wang, Haotian Ye, Di He, Liwei Wang

CoRR, 2024

MoSECroT: Model Stitching with Static Word Embeddings for Crosslingual Zero-shot Transfer.

Haotian Ye, Yihong Liu, Chunlan Ma, Hinrich Schütze

CoRR, 2024

TFG: Unified Training-Free Guidance for Diffusion Models.

Haotian Ye, Haowei Lin, Jiaqi Han, Minkai Xu, Sheng Liu, Yitao Liang, Jianzhu Ma, James Y. Zou, Stefano Ermon

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

Geometric Trajectory Diffusion Models.

Jiaqi Han, Minkai Xu, Aaron Lou, Haotian Ye, Stefano Ermon

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

In-context Vectors: Making In Context Learning More Effective and Controllable Through Latent Space Steering.

Sheng Liu, Haotian Ye, Lei Xing, James Y. Zou

Proceedings of the Forty-first International Conference on Machine Learning, 2024

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

Proceedings of the Forty-first International Conference on Machine Learning, 2024

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

Proceedings of the Forty-first International Conference on Machine Learning, 2024

TransliCo: A Contrastive Learning Framework to Address the Script Barrier in Multilingual Pretrained Language Models.

Yihong Liu, Chunlan Ma, Haotian Ye, Hinrich Schütze

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

2023

Forward Laplacian: A New Computational Framework for Neural Network-based Variational Monte Carlo.

Ruichen Li, Haotian Ye, Du Jiang, Xuelan Wen, Chuwei Wang, Zhe Li, Xiang Li, Di He, Ji Chen, Weiluo Ren, Liwei Wang

CoRR, 2023

A study of conceptual language similarity: comparison and evaluation.

Haotian Ye, Yihong Liu, Hinrich Schütze

CoRR, 2023

Crosslingual Transfer Learning for Low-Resource Languages Based on Multilingual Colexification Graphs.

Yihong Liu, Haotian Ye, Leonie Weissweiler, Hinrich Schütze

CoRR, 2023

Taxi1500: A Multilingual Dataset for Text Classification in 1500 Languages.

Chunlan Ma, Ayyoob Imani, Haotian Ye, Ehsaneddin Asgari, Hinrich Schütze

CoRR, 2023

Towards Revealing the Mystery behind Chain of Thought: A Theoretical Perspective.

Guhao Feng, Bohang Zhang, Yuntian Gu, Haotian Ye, Di He, Liwei Wang

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

On the Power of Pre-training for Generalization in RL: Provable Benefits and Hardness.

Haotian Ye, Xiaoyu Chen, Liwei Wang, Simon Shaolei Du

Proceedings of the International Conference on Machine Learning, 2023

Discovering Latent Knowledge in Language Models Without Supervision.

Collin Burns, Haotian Ye, Dan Klein, Jacob Steinhardt

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Crosslingual Transfer Learning for Low-Resource Languages Based on Multilingual Colexification Graphs.

Yihong Liu, Haotian Ye, Leonie Weissweiler, Renhao Pei, Hinrich Schütze

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Freeze then Train: Towards Provable Representation Learning under Spurious Correlations and Feature Noise.

Haotian Ye, James Zou, Linjun Zhang

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023

A Crosslingual Investigation of Conceptualization in 1335 Languages.

Yihong Liu, Haotian Ye, Leonie Weissweiler, Philipp Wicke, Renhao Pei, Robert Zangenfeind, Hinrich Schütze

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

2021

Out-of-Distribution Generalization Analysis via Influence Function.

Haotian Ye, Chuanlong Xie, Yue Liu, Zhenguo Li

CoRR, 2021

Towards a Theoretical Framework of Out-of-Distribution Generalization.

Haotian Ye, Chuanlong Xie, Tianle Cai, Ruichen Li, Zhenguo Li, Liwei Wang

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021