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MFG: Multi-turn Feedback Guided Molecular Optimization

Paper recorded by Signals 4 on 2026-10-13 in cs.AI. Abstract reproduced from arXiv; link to the original below.

Published 2026-10-13 on arXiv · recorded by Signals 4 on 2026-10-14

Category: cs.AI · 人工智能 · first seen 2026-10-14

Abstract

Multi-objective molecular optimization is a critical process in drug discovery that aims to modify a given molecule to simultaneously improve multiple properties while maintaining a similar overall structure. This process often requires iterative modifications guided by computational or experimental feedback. Recent large language model (LLM)-based methods have begun to explore this iterative appr

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#328 most recent of 960 cs.AI papers we have recorded · ↑ newer: Two Clocks: Why Larger Rollout Batches Learn Slower but Fail on Schedu · ↓ older: LIBERO-RIG: A Hardware-Setup Robustness Benchmark for Vision-Language-
Cite this page: MFG: Multi-turn Feedback Guided Molecular Optimization: the #328 most recent of 960 cs.AI papers we have recorded (as of 2026-10-13). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/mfg-multi-turn-feedback-guided-molecular-optimization.html
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