1 citations · 1 across the 1 of their papers we have counts for
2 papers
cs.AI2026
Is Multimodal Speculative Decoding Ready for Diffusion-Based Parallel Drafting? A Survey and Empirical Diagnosis
Yantao Li, Huanlin Gao, Fang Zhao +12
Speculative decoding accelerates autoregressive generation by allowing a lightweight drafter to propose future tokens while a target model verifies them in parallel. Its lossless g…
cs.LG2024★ 1 cited
Vision-Language Models Can Self-Improve Reasoning via Reflection
Kanzhi Cheng, Yantao Li, Fangzhi Xu +3
Chain-of-thought (CoT) has proven to improve the reasoning capability of large language models (LLMs). However, due to the complexity of multimodal scenarios and the difficulty in…