Publications

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Conference Papers

RetrOrchestrator: A Multi-Step Retrosynthesis Agent Dynamically Orchestrating Single-Step Transition Models

International Conference on Machine Learning (ICML), 2026

A multi-step retrosynthesis agent that dynamically orchestrates single-step transition models for more efficient and accurate synthesis planning.

Recommended citation: Chang Liao, Luotian Yuan, Yiping Ke, Ying Wei. (2026). "RetrOrchestrator: A Multi-Step Retrosynthesis Agent Dynamically Orchestrating Single-Step Transition Models." International Conference on Machine Learning (ICML).

Preprints & Manuscripts