activity
20182026
most citedAdapted Large Language Models Can Outperform Medical Experts in Clinical Text Summarization

755 citations · 2k across the 29 of their papers we have counts for

collaborators
Showing cs.LGShow all

1 paper · 1 filter

cs.LG2026

The Loss Is Not Enough: Sampling Conditions and Inductive Bias in Contrastive Representation Learning

Justinas Zaliaduonis, Patrick Putzky, Till Richter +1

Contrastive learning has become a leading paradigm for self-supervised representation learning, yet the conditions under which it recovers meaningful latent geometry remain incompl…