Kevin Y. Li

According to our database, Kevin Y. Li authored at least 4 papers between 2024 and 2025.

Collaborative distances:

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

2025

Thinking Slow, Fast: Scaling Inference Compute with Distilled Reasoners.

Daniele Paliotta, Junxiong Wang, Matteo Pagliardini, Kevin Y. Li, Aviv Bick, J. Zico Kolter, Albert Gu, François Fleuret, Tri Dao

CoRR, February, 2025

Inference Optimal VLMs Need Fewer Visual Tokens and More Parameters.

Kevin Y. Li, Sachin Goyal, João D. Semedo, J. Zico Kolter

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2024

Inference Optimal VLMs Need Only One Visual Token but Larger Models.

Kevin Y. Li, Sachin Goyal, João D. Semedo, J. Zico Kolter

CoRR, 2024

Transformers to SSMs: Distilling Quadratic Knowledge to Subquadratic Models.

Aviv Bick, Kevin Y. Li, Eric P. Xing, J. Zico Kolter, Albert Gu

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024