How Do Nonlinear Transformers Learn and Generalize in In-Context Learning?
- Hongkang Li
- Meng Weng
- et al.
- 2024
- ICML 2024
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6 results for Hongkang Li
What Improves the Generalization of Graph Transformers? A Theoretical Dive into the Self-attention and Positional Encoding
- Hongkang Li
- Meng Wang
- et al.
- 2024
- ICML 2024
On the Convergence and Sample Complexity Analysis of Deep Q-Networks with epsilon-Greedy Exploration
- Shuai Zhang
- Hongkang Li
- et al.
- 2023
- NeurIPS 2023
A Theoretical Understanding of Shallow Vision Transformers: Learning, Generalization, and Sample Complexity
- Hongkang Li
- Meng Weng
- et al.
- 2023
- ICLR 2023
How Do Nonlinear Transformers Acquire Generalization-Guaranteed CoT Ability?
- Hongkang Li
- Meng Weng
- et al.
- 2024
- ICML 2024
How Can Personalized Context Help? Exploring Joint Retrieval of Passage and Personalized Context
- Hui Wan
- Hongkang Li
- et al.
- 2024
- ICASSP 2024