Haotian Ye

According to our database, Haotian Ye authored at least 17 papers between 2021 and 2024.

Collaborative distances:

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

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

CoRR, 2024

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

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

CoRR, 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

CoRR, 2024

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

Yihong Liu, Chunlan Ma, Haotian Ye, Hinrich Schütze

CoRR, 2024

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

Haotian Ye, Yihong Liu, Chunlan Ma, Hinrich Schütze

CoRR, 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