2 papers
cs.CL2025
RiOT: Efficient Prompt Refinement with Residual Optimization Tree
Chenyi Zhou, Zhengyan Shi, Yuan Yao +3
Recent advancements in large language models (LLMs) have highlighted their potential across a variety of tasks, but their performance still heavily relies on the design of effectiv…
cs.LG2025
UniMatch: Universal Matching from Atom to Task for Few-Shot Drug Discovery
Ruifeng Li, Mingqian Li, Wei Liu +5
Drug discovery is crucial for identifying candidate drugs for various diseases.However, its low success rate often results in a scarcity of annotations, posing a few-shot learning…