3 papers
cs.CL2026
BiomedSQL: Text-to-SQL for Scientific Reasoning on Biomedical Knowledge Bases
Mathew J. Koretsky, Maya Willey, Owen Bianchi +7
Biomedical researchers increasingly rely on large-scale structured databases for complex analytical tasks. However, current text-to-SQL systems often struggle to map qualitative sc…
cs.CL2025
Hidden in the Haystack: Smaller Needles are More Difficult for LLMs to Find
Owen Bianchi, Mathew J. Koretsky, Maya Willey +7
Large language models (LLMs) face significant challenges with needle-in-ahaystack tasks, where relevant information ("the needle") must be drawn from a large pool of irrelevant con…
cs.CL2025
Hell or High Water: Evaluating Agentic Recovery from External Failures
Andrew Wang, Sophia Hager, Adi Asija +2
As language model agents are applied to real world problems of increasing complexity, they will be expected to formulate plans across large search spaces. If those plans fail for r…