Papers2

#open-world classification

Specificity-aware reinforcement learning for fine-grained open-world classification

Samuele Angheben, Davide Berasi et al.Mar 3arXiv

This paper teaches AI to name things in pictures very specifically (like “golden retriever” instead of just “dog”) without making more mistakes.

#open-world classification#fine-grained recognition#large multimodal models

Large Multimodal Models as General In-Context Classifiers

Intermediate

Marco Garosi, Matteo Farina et al.Feb 26arXiv

People often pick CLIP-like models for image labeling, but this paper shows that large multimodal models (LMMs) can be just as good—or even better—when you give them a few examples in the prompt (in-context learning).

#in-context learning#multimodal models#open-world classification