2 papers
q-bio.QM2026
Science sandboxes measure the scientific capability of AI agents
Arya S. Rao, Rodrigo I. Castro, Sager J. Gosai +8
Scientific progress depends not only on finding solutions, but on learning the rules that explain why they work and using that understanding to design better experiments. We introd…
cs.LG2025
Lyra: An Efficient and Expressive Subquadratic Architecture for Modeling Biological Sequences
Krithik Ramesh, Sameed M. Siddiqui, Albert Gu +2
Deep learning architectures such as convolutional neural networks and Transformers have revolutionized biological sequence modeling, with recent advances driven by scaling up found…