Papers2

#search-augmented LLMs

Truncated Step-Level Sampling with Process Rewards for Retrieval-Augmented Reasoning

Chris Samarinas, Haw-Shiuan Chang et al.Feb 26arXiv

SLATE is a new way to teach AI to think step by step while using a search engine, giving feedback at each step instead of only at the end.

#retrieval-augmented reasoning#reinforcement learning#GRPO

Over-Searching in Search-Augmented Large Language Models

Intermediate

Roy Xie, Deepak Gopinath et al.Jan 9arXiv

The paper shows that language models with a search tool often look up too much information, which wastes compute and can make answers worse on unanswerable questions.

#search-augmented LLMs#over-searching#abstention