hypothesis generation 1large language models 1scientific inspiration retrieval 1target-conditioned abstraction 1transferability prediction 1
From the 1 of 3 linked papers with an AI index.
3 papers
cs.IR2026
TCA-SIR: Learning Target-Conditioned Abstractions for Scientific Inspiration Retrieval
Yuto Suzuki, Farnoush Banaei-Kashani
The paper introduces TCA-SIR, a method that learns to generate target‑conditioned abstractions of scientific papers to improve scientific inspiration retrieval, showing higher hit…
cs.AI2025
FRAGMENTA: End-to-end Fragmentation-based Generative Model with Agentic Tuning for Drug Lead Optimization
Yuto Suzuki, Paul Awolade, Daniel V. LaBarbera +1
Molecule generation using generative AI is vital for drug discovery, yet class-specific datasets often contain fewer than 100 training examples. While fragment-based models handle…
cs.AI2025
Universe of Thoughts: Enabling Creative Reasoning with Large Language Models
Yuto Suzuki, Farnoush Banaei-Kashani
Reasoning based on Large Language Models (LLMs) has garnered increasing attention due to outstanding performance of these models in mathematical and complex logical tasks. Beginnin…