Haotian Ye

Publication Activity (10 Years)

Years Active: 2021-2024
Publications (10 Years): 26

Top Topics

Text Classification

Differential Operators

Top Venues

Publications

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 (2024)
Ruichen Li, Chuwei Wang, Haotian Ye, Di He, Liwei Wang
DOF: Accelerating High-order Differential Operators with Forward Propagation. CoRR (2024)
Yihong Liu, Chunlan Ma, Haotian Ye, Hinrich Schütze
TransMI: A Framework to Create Strong Baselines from Multilingual Pretrained Language Models for Transliterated Data. CoRR (2024)
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 (2024)
Yihong Liu, Chunlan Ma, Haotian Ye, Hinrich Schütze
TransliCo: A Contrastive Learning Framework to Address the Script Barrier in Multilingual Pretrained Language Models. CoRR (2024)
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)
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 (2024)
Haotian Ye, Yihong Liu, Chunlan Ma, Hinrich Schütze
MoSECroT: Model Stitching with Static Word Embeddings for Crosslingual Zero-shot Transfer. CoRR (2024)
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)
Yihong Liu, Haotian Ye, Leonie Weissweiler, Philipp Wicke, Renhao Pei, Robert Zangenfeind, Hinrich Schütze
A Crosslingual Investigation of Conceptualization in 1335 Languages. CoRR (2023)
Haotian Ye, James Zou, Linjun Zhang
Freeze then Train: Towards Provable Representation Learning under Spurious Correlations and Feature Noise. AISTATS (2023)
Haotian Ye, Yihong Liu, Hinrich Schütze
A study of conceptual language similarity: comparison and evaluation. CoRR (2023)
Chunlan Ma, Ayyoob Imani, Haotian Ye, Ehsaneddin Asgari, Hinrich Schütze
Taxi1500: A Multilingual Dataset for Text Classification in 1500 Languages. CoRR (2023)
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)
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)
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)
Guhao Feng, Bohang Zhang, Yuntian Gu, Haotian Ye, Di He, Liwei Wang
Towards Revealing the Mystery behind Chain of Thought: a Theoretical Perspective. CoRR (2023)
Yihong Liu, Haotian Ye, Leonie Weissweiler, Hinrich Schütze
Crosslingual Transfer Learning for Low-Resource Languages Based on Multilingual Colexification Graphs. CoRR (2023)
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 (2023)
Collin Burns, Haotian Ye, Dan Klein, Jacob Steinhardt
Discovering Latent Knowledge in Language Models Without Supervision. ICLR (2023)
Haotian Ye, James Zou, Linjun Zhang
Freeze then Train: Towards Provable Representation Learning under Spurious Correlations and Feature Noise. CoRR (2022)
Haotian Ye, Xiaoyu Chen, Liwei Wang, Simon S. Du
On the Power of Pre-training for Generalization in RL: Provable Benefits and Hardness. CoRR (2022)
Collin Burns, Haotian Ye, Dan Klein, Jacob Steinhardt
Discovering Latent Knowledge in Language Models Without Supervision. CoRR (2022)
Haotian Ye, Chuanlong Xie, Tianle Cai, Ruichen Li, Zhenguo Li, Liwei Wang
Towards a Theoretical Framework of Out-of-Distribution Generalization. NeurIPS (2021)
Haotian Ye, Chuanlong Xie, Yue Liu, Zhenguo Li
Out-of-Distribution Generalization Analysis via Influence Function. CoRR (2021)
Haotian Ye, Chuanlong Xie, Tianle Cai, Ruichen Li, Zhenguo Li, Liwei Wang
Towards a Theoretical Framework of Out-of-Distribution Generalization. CoRR (2021)