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2020 – today
- 2024
[c11]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- [c10]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 - [c9]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 - [c8]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 - [i21]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) - [i20]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) - [i19]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) - [i18]Ruichen Li, Chuwei Wang, Haotian Ye, Di He, Liwei Wang:
DOF: Accelerating High-order Differential Operators with Forward Propagation. CoRR abs/2402.09730 (2024) - [i17]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) - [i16]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) - [i15]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) - [i14]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) - [i13]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) - [i12]Yihong Liu, Haotian Ye, Chunlan Ma, Mingyang Wang, Hinrich Schütze:
LangSAMP: Language-Script Aware Multilingual Pretraining. CoRR abs/2409.18199 (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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