A curated list of research papers on Hybrid (Adaptive) Chain-of-Thought (CoT) Reasoning.
Hybrid Chain-of-Thought (CoT) is a novel technique designed to accelerate the reasoning process of large reasoning models. It aims to enable the model to dynamically select between Long-CoT and Short-CoT strategies based on the nature of the problem, achieving significantly greater speedup compared to alternative approaches.
| Title | Published Date | Link |
|---|---|---|
| Fast-Slow Thinking for Large Vision-Language Model Reasoning | 2025-04 | π arXiv |
A curated list of research papers on Hybrid (Adaptive) Chain-of-Thought (CoT) Reasoning.
Hybrid Chain-of-Thought (CoT) is a novel technique designed to accelerate the reasoning process of large reasoning models. It aims to enable the model to dynamically select between Long-CoT and Short-CoT strategies based on the nature of the problem, achieving significantly greater speedup compared to alternative approaches.
| Title | Published Date | Link |
|---|---|---|
| Fast-Slow Thinking for Large Vision-Language Model Reasoning | 2025-04 | π arXiv |