Localize, Then Reason: Visual Latent Structural Reasoning for Molecular Properties and Edits
Local chemical perception and property reasoning are both essential for understanding how molecular structure determines properties. Current LLM-based chemical reasoning methods either receive SMILES/molecular images together with descriptions of local motifs, or reason directly from molecular images. Neither approach enables the model to focus on chemically meaningful regions before reasoning. To address this gap, we propose Visual Latent Structural Reasoning (VLSR), an end-to-end framework that jointly learns localization and reasoning from molecular images. Central to our approach is a loca
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- PossiblePossibly related (embedding) · 50%Bridging three-dimensional molecular structures and artificial intelligence with a conformation description language →
- PossiblePossibly related (embedding) · 47%Accelerating sustainable glass discovery: integrating molecular dynamics, machine learning, and robotic synthesis - Nature →
- FuzzyOverlapping authors or contributors · 62%bytedance/deer-flow →
“Shared author/contributor keys: wang”
- FuzzyOverlapping authors or contributors · 62%ray-project/ray →
“Shared author/contributor keys: wang”
- FuzzyOverlapping authors or contributors · 62%hiyouga/LlamaFactory →
“Shared author/contributor keys: lin”
- FuzzyOverlapping authors or contributors · 62%Zeyi-Lin/HivisionIDPhotos →
“Shared author/contributor keys: lin”
- LinkedLinked via arxiv author · 85%Xingqiao Lin →
“Localize, Then Reason: Visual Latent Structural Reasoning for Molecular Properties and Edits”
- LinkedLinked via arxiv author · 85%Junmei Wang →
“Localize, Then Reason: Visual Latent Structural Reasoning for Molecular Properties and Edits”