most citedFRAGMENTA: Efficient End-to-end Fragmentation-based Generative Model with Agentic Tuning for Drug Lead Optimization in Small Data Regime

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cs.IR2026

TCA-SIR: Learning Target-Conditioned Abstractions for Scientific Inspiration Retrieval

Yuto Suzuki, Farnoush Banaei-Kashani

Scientific hypothesis generation for AI for Science typically involves Scientific Inspiration Retrieval (SIR) followed by hypothesis composition. Existing SIR methods rank papers b…