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DrugHarness: An Evolvable Agent Harness for Computational Drug Discovery

Paper recorded by Signals 4 on 2026-10-16 in cs.AI. Abstract reproduced from arXiv; link to the original below.

Published 2026-10-16 on arXiv · recorded by Signals 4 on 2026-10-19

Category: cs.AI · 人工智能 · first seen 2026-10-19

Abstract

Computational drug discovery requires agents to compose scientific operations and adapt to changing evidence and constraints. Here we introduce DrugHarness, an evolvable agent harness coupling composable scientific execution with conditional skill induction. Its environment integrates over 80 scientific operations, biomedical resources and task-specific code, preserving associations among candidat

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#267 most recent of 960 cs.AI papers we have recorded · ↑ newer: FuTransformer: FP8 prefill and INT4 decode for Llama-style inference o · ↓ older: Beyond Large Language Models: A Mental World Model Framework for Menta
Cite this page: DrugHarness: An Evolvable Agent Harness for Computational Drug Discovery: the #267 most recent of 960 cs.AI papers we have recorded (as of 2026-10-16). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/drugharness-an-evolvable-agent-harness-for-computational-drug-discovery.html
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