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◇ Paper · Training Chemical Plausibility-Aware Large Language Models for Single-Step Retrosynthesis

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This is a lead card for today's AI paper: what it covers, who wrote it, and where to read it.

Editor's verdict

Use as a today's-frontier lead; read the paper to reproduce experiments.

Derived from structured fields · Confidence: medium (functionality not individually tested)

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Key facts · machine-readable
Official / sourcehttps://huggingface.co/papers/2608.18940
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① 这是什么

今日论文《今日论文 · Training Chemical Plausibility-Aware Large Language Models for Single-Step Retrosynthesis》（Bogdan Zagribelnyy、Ivan Ilin、Nikita Bondarev、Maksim Kuznetsov、Mathieu Reymond、Vladimir Aladinskiy），来自 HF Daily Papers 公开源。

② 值不值得用

进入 HF 每日精选说明有社区关注度；是否与你的问题相关需要读原文判断，本条目不评价研究质量。

③ 怎么开始

先读摘要，需要再读全文（https://huggingface.co/papers/2608.18940）；对照论文 ID（2608.18940）可找实现与讨论。

④ 关键证据

  • 论文 ID 2608.18940
  • 作者 Bogdan Zagribelnyy、Ivan Ilin、Nikita Bondarev、Maksim Kuznetsov、Mathieu Reymond、Vladimir Aladinskiy

⑤ 注意事项与坑

摘要来自作者原文，未做同行评议级核验；引用请以正式发表版本为准。

One-line premise

Best for: readers tracking today's AI research frontier.

Consider if: you need to reproduce full experimental details (read the paper).

Status: machine-checked (structure & source validation); functionality not individually tested.

Minimal verification (3 steps)

  1. Read abstract — Training Chemical Plausibility-Aware Large Language Models for Single-Step Retrosynthesis
  2. Check authors/date — Bogdan Zagribelnyy, Ivan Ilin, Nikita Bondarev · 2026-08-19
  3. Run CLI — npx aiskillready search 18940
Quick start

Use it like this

npx aiskillready search 18940   # official CLI, verified runnable (aiskillready@0.2.0)

Note: `npx aiskillready` is this site's published CLI (npm aiskillready@0.2.0) — verified runnable; third-party commands are given per official docs and not individually tested. We don't fabricate conclusions.

Glossary: what are SKILL.md / veridrop / schema? (expand)
Trust layer: machine check / cost / confidence / schema (expand)

Entry ID: ASR-PAPER-20260820-2608-18940 ｜ Type: Paper ｜ schema v0.5

✅ machine-checked pass 💰 Enrichment cost $0.0000 🧭 Confidence medium 📌 schema 0.5 🛂 Review agent reviewed 🧪 Functionality unverified (Top-20 manual testing planned)

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AI block · machine-readable (same source of truth)
AI block · machine-readable JSON (click to expand) 
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