214 citations · 461 across the 18 of their papers we have counts for
4 papers · 1 filter
BixBench3: Benchmarking AI agents on research-study-scale computational biology tasks
Zane Koch, Asmamaw T. Wassie, Javier Valdes-Aleman +5
Artificial intelligence (AI) promises to accelerate biological research by automating computational analyses. Yet the ability of AI agents to execute on computational biology at th…
MarkushGlyph and OCSRGlyph: Improved Chemical Structure Recognition
Alex Andonian, Samuel G Rodriques, Andrew D White +1
Chemical structures appear in patents and the scientific literature as images. For programmatic usage, such as indexing in databases or constructing machine learning model training…
LABBench2: An Improved Benchmark for AI Systems Performing Biology Research
Jon M Laurent, Albert Bou, Michael Pieler +9
Optimism for accelerating scientific discovery with AI continues to grow. Current applications of AI in scientific research range from training dedicated foundation models on scien…
Unifying biomedical knowledge in a modern multimodal graph
Lucas Vittor, Ayush Noori, Iñaki Arango +5
Biomedical knowledge graphs (KGs) are widely used in the life sciences, yet many are derived from unstructured documents and therefore lack schema-level constraints, whereas graphs…