The reliability of multiple sequence alignment (MSA) results directly determines the credibility of the conclusions drawn from biological research. However, MSA is inherently an NP-hard problem, ...

An online iterative alignment pipeline that generates on-policy data, scores responses with a reward model, constructs preference pairs, and trains with DPO -- closing the distribution gap of offline ...

Viral genome analysis is crucial for understanding virus evolution and mutation. Investigations into viral evolutionary dynamics and mutation patterns have garnered significant research attention ...

Existing learning-based methods effectively reconstruct HDR images from multi-exposure LDR inputs with extended dynamic range and improved detail, but they rely more on empirical design rather than ...

Reliable protein multiple sequence alignment (MSA) is essential for downstream biomedical research and directly impacts the accuracy of analytical results. However, protein sequences often exhibit low ...

Standard methods for aligning large language models with human preferences learn from pairwise comparisons among sampled candidate responses and regularize toward a reference policy. Despite their ...