CIFAR

A new arXiv preprint (2608.02830v1) reveals that many-shot in-context learning can cause a sharp accuracy drop, termed 'in-context collapse,' in vision-language models (VLMs), with some models falling…

A systematic study of query, key, and value (QKV) projection variants in Transformers found that sharing the key and value projections (Q-K=V) performs on par with or better than the standard three-pr…

Researchers have developed a bifurcation theory that detects when neural networks acquire structured representations during training in real time, without relying on retrospective or label-dependent m…