Papers2

All Beginner Intermediate Advanced

All Sources arXiv

#Token efficiency

Recursive Think-Answer Process for LLMs and VLMs

Intermediate

Byung-Kwan Lee, Youngchae Chee et al.Mar 2arXiv

This paper teaches AI models to judge how sure they are about an answer and to think again if they are not sure.

#Recursive Think–Answer#Confidence-guided reasoning#Reinforcement learning for LLMs

Forest Before Trees: Latent Superposition for Efficient Visual Reasoning

Intermediate

Yubo Wang, Juntian Zhang et al.Jan 11arXiv

This paper introduces Laser, a new way for vision-language models to think in their hidden space before speaking, so they see the whole “forest” before picking out the “trees.”

#Latent reasoning#Dynamic Windowed Alignment Learning#Dynamic Semantic Windows