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ScienceBuddy: Recursive-in-Recursive Self-Improvement for Interactive Scientific Agents

Paper recorded by Signals 4 on 2026-09-15 in cs.AI. Abstract reproduced from arXiv; link to the original below.

Published 2026-09-15 on arXiv · recorded by Signals 4 on 2026-09-16

Category: cs.AI · 人工智能 · first seen 2026-09-16

Abstract

We introduce and release ScienceBuddy, an interactive scientific research workspace that brings continually improving scientific agents into researchers' everyday workflows. ScienceBuddy supports researchers in carrying out scientific tasks while transforming their requests, feedback, and execution evidence into tasks and evaluation rubrics for continual learning. At its core is recursive-in-recur

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#42 most recent of 300 cs.AI papers we have recorded · ↑ newer: Agentic Societies Need a Social Harness · ↓ older: PhysStream: Streaming Physics-Grounded Video Generation with Structure

Cite this page: ScienceBuddy: Recursive-in-Recursive Self-Improvement for Interactive Scientific Agents: the #42 most recent of 300 cs.AI papers we have recorded (as of 2026-09-15). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/sciencebuddy-recursive-in-recursive-self-improvement-for-interactive-scientific-.html
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