English(EN) Solvent: Long-Horizon Reasoning for Multi-Step Retrosynthesis

新的8B大语言模型'Solvent'可处理复杂的多步化学合成

作者 PulseAugur 编辑部 · [1 个来源] · 2026-10-26 04:00

研究人员开发了Solvent，一个拥有80亿参数的大语言模型（LLM），专为多步逆合成（一种复杂的化学过程）而设计。Solvent利用长时程推理来规划合成路线、验证砌块的可用性，并根据反馈调整其策略。在强化学习的加持下，Solvent在四个基准测试中取得了61.86%的得分，在该专业领域超越了较小的模型和一些万亿参数的大语言模型。 AI

影响展示了大语言模型在复杂科学推理方面的能力，有望加速药物发现和化学研究。

排序理由发布了一篇详细介绍用于特定科学任务的新大语言模型的学术论文。[lever_c_demoted from research: ic=1 ai=1.0]

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报道来源 [1]

arXiv cs.AI TIER_1 English(EN) · Yifei Wang, Botian Wang, YiFei Wang, Jiangtao Feng, Xinbo Zhang, Yawen Ouyang, Yixin Wu, Lihao Wang, Xiaoqing Zheng, Xuanjing Huang, Hao Zhou · 2026-10-26 04:00

Solvent：用于多步逆合成的长时程推理

arXiv:2610.32308v1 Announce Type: new Abstract: Multi-step retrosynthesis requires recursively transforming a target molecule through successive reaction steps into purchasable building blocks, and recent work has begun to draw on large language model (LLM) reasoning to tackle th…

本文如何被排名

报道来源 [1]

Solvent：用于多步逆合成的长时程推理

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