A single decoder-only model generates prompt-conditioned retrosynthetic routes and shows measurable gains on depth and required-leaf constraints in the RetroCast/PaRoutes benchmarks while releasing its code.
ISBN 9781450393850
2 Pith papers cite this work. Polarity classification is still indexing.
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Pith papers citing it
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cs.LG 2years
2026 2verdicts
UNVERDICTED 2representative citing papers
GaRA generates task-specific LoRA weight updates conditioned on graph structures to enable better whole-graph encoding in LLMs for zero-shot graph learning.
citing papers explorer
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Project Ariadne: Prompt-Conditioned Route Generation for Synthesis Planning
A single decoder-only model generates prompt-conditioned retrosynthetic routes and shows measurable gains on depth and required-leaf constraints in the RetroCast/PaRoutes benchmarks while releasing its code.
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Enhancing LLMs for Graph Tasks via Graph-aware LoRA Generation
GaRA generates task-specific LoRA weight updates conditioned on graph structures to enable better whole-graph encoding in LLMs for zero-shot graph learning.