Signals 4 · free daily AI digest

SwarmRSI: Recursive Self-Improvement through Evolving Scientific Agent Swarm

Paper recorded by Signals 4 on 2026-10-14 in cs.CL. Abstract reproduced from arXiv; link to the original below.

Published 2026-10-14 on arXiv · recorded by Signals 4 on 2026-10-15

Category: cs.CL · 自然语言处理 · first seen 2026-10-15

Abstract

Recursive self-improvement (RSI) in scientific research aims to improve agents' research capabilities through their own experimental experience. Scientific agent swarms can combine evidence and implementations from different research directions to guide their agents' subsequent experiments. However, poor experimental results can leave unclear whether to revise a hypothesis or its implementation, w

Read on arXiv →

#251 most recent of 660 cs.CL papers we have recorded · ↑ newer: The COUNT: Counting N-grams Unlocks Scaling on Host Memory and Trainin · ↓ older: Analyzing performance of Retrieval Augmented Generation models for Que
Cite this page: SwarmRSI: Recursive Self-Improvement through Evolving Scientific Agent Swarm: the #251 most recent of 660 cs.CL papers we have recorded (as of 2026-10-14). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/swarmrsi-recursive-self-improvement-through-evolving-scientific-agent-swarm.html
Free to quote with attribution to “Signals 4 (Signals API)”. Machine-readable: papers.json
Related: More cs.CL papers · arXiv signals · All papers · Today in AI
Get 4 AI signals a day by email — free.
Subscribe free → See all plans →
Get 4 AI signals a day by email — free
All models · All repos · By company · Daily editions