An Agentic Retrobiosynthesis Framework with Learned Frontier Selection

arXiv:2608.30702 · cs.CL, cs.AI, cs.LG · Submitted 2026-08-31 · Read on arXiv

cs.CL, cs.AI, cs.LG

Submitted: 2026-08-31

Updated: 2026-08-31

Terminology

• Benchmark — 16× in this paper · explained in 2 episodes
• Fine-Tuning — 10× in this paper · explained in 5 episodes
• Accuracy — 2× in this paper · explained in 1 episode
• Adaptation — 2× in this paper · explained in 1 episode
• Reinforcement Learning — 2× in this paper · explained in 4 episodes
• Abundance — 1× in this paper · explained in 1 episode
• Foundation Model — 1× in this paper · explained in 3 episodes
• Foundation Models — 1× in this paper · explained in 7 episodes
• LoRA Adapters — 1× in this paper · explained in 3 episodes
• LoRA Fine-Tuning — 1× in this paper · explained in 3 episodes
• World Model — 1× in this paper · explained in 7 episodes
• alpha — 1× in this paper · explained in 1 episode

Sources

• LARC: Towards Human-level Constrained Retrosynthesis Planning through an Agentic Framework
• Synthelite: Chemist-aligned and feasibility-aware synthesis planning with LLMs
• RetroAgent: Harnessing LLMs to Search Over Structured Memory for Agentic Retrosynthesis Planning
• Qwen2 Technical Report
• ReAct: Synergizing Reasoning and Acting in Language Models

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