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All SourcesarXiv
#large multimodal models

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

Intermediate
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

RISE-Video: Can Video Generators Decode Implicit World Rules?

Intermediate
Mingxin Liu, Shuran Ma et al.Feb 5arXiv

RISE-Video is a new test that checks whether video-making AIs follow hidden world rules, not just make pretty pictures.

#Text-Image-to-Video#video generation benchmark#reasoning alignment

TwinFlow: Realizing One-step Generation on Large Models with Self-adversarial Flows

Intermediate
Zhenglin Cheng, Peng Sun et al.Dec 3arXiv

TwinFlow is a new way to make big image models draw great pictures in just one step instead of 40–100 steps.

#TwinFlow#one-step generation#twin trajectories