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HypoEvolve: Genetic Algorithms Enable Multi-Agent LLMs to Discover Scientific Hypotheses

Paper recorded by Signals 4 on 2026-09-14 in cs.CL. Abstract reproduced from arXiv; link to the original below.

Published 2026-09-14 on arXiv · recorded by Signals 4 on 2026-09-15

Category: cs.CL · 自然语言处理 · first seen 2026-09-15

Abstract

Scientific agents contribute to hypothesis discovery by synthesizing evidence, assessing proposals, and developing new explanations. Recent systems combine scientific agents with evolutionary search through critique, comparison, and revision. However, how different forms of agent collaboration affect hypothesis quality remains an open question. Answering this question requires separating the effec

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#40 most recent of 186 cs.CL papers we have recorded · ↑ newer: Verifiable by Construction: Claim-Level Evaluation of Verbatim Citatio · ↓ older: Inoculation Midtraining with Learned Neologisms
Cite this page: HypoEvolve: Genetic Algorithms Enable Multi-Agent LLMs to Discover Scientific Hypotheses: the #40 most recent of 186 cs.CL papers we have recorded (as of 2026-09-14). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/hypoevolve-genetic-algorithms-enable-multi-agent-llms-to-discover-scientific-hyp.html
Free to quote with attribution to “Signals 4 (Signals API)”. Machine-readable: papers.json
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