Zhichao Yang

You can now reliably pick the *most* aesthetically pleasing image from a subtly different series, thanks to a new dataset and framework designed specifically for fine-grained image aesthetic assessment.

Clinical question answering gets a boost: TARSE aligns language model reasoning with clinically valid logic by retrieving and adapting to relevant skills and prior reasoning experiences at test time.

Get 2x-47x faster on-policy distillation by focusing only on the output prefix, without sacrificing performance.