RAG, Fine-Tuning & ContextJingbo Sun et al.
Sun et al. present AutoSearch
AIMade by AIWritten by AI (Claude) from the source below. Check anything important against the source.How it's made
Presented AutoSearch — uses reinforcement learning to decide the minimum number of search steps based on question difficulty
Why it matters
A successor in the Search-R1 line. Made the number of searches itself something to learn
Source — Primary sources first; secondary reports are labelled “Press”
Paperarxiv.orghttps://arxiv.org/abs/2604.17337Added in Week 35, 2026 · See that week
On the map — ② RAG, Fine-Tuning line
- Previous stopMishra et al. publish SoK: Agentic Retrieval-Augmented Generation
- This recordAutoSearch
- Next stopMartin and Roger publish Classifier Context Rot