2 papers
cs.AI2026
Evaluating Risks in Weak-to-Strong Alignment: A Bias-Variance Perspective
Hamid Osooli, Kareema Batool, Rick Gentry +3
Weak-to-strong alignment offers a promising route to scalable supervision, but it can fail when a strong model becomes confidently wrong on examples that lie in the weak model's bl…
q-bio.GN2025
Leveraging State Space Models in Long Range Genomics
Matvei Popov, Aymen Kallala, Anirudha Ramesh +4
Long-range dependencies are critical for understanding genomic structure and function, yet most conventional methods struggle with them. Widely adopted transformer-based models, wh…