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Mode Seeking meets Mean Seeking for Fast Long Video Generation

Intermediate

Shengqu Cai, Weili Nie et al.Feb 27arXiv

Short videos are easy for AI to make sharp and lively, but long videos need stories and memory, and there isn’t much training data for that.

#long video generation#flow matching#distribution matching

MetricAnything: Scaling Metric Depth Pretraining with Noisy Heterogeneous Sources

Intermediate

Baorui Ma, Jiahui Yang et al.Jan 29arXiv

Metric Anything is a new way to teach AI real, ruler-like distances (metric depth) from very mixed and noisy 3D data.

#metric depth estimation#sparse metric prompt#monocular depth

FiNERweb: Datasets and Artifacts for Scalable Multilingual Named Entity Recognition

Intermediate

Jonas Golde, Patrick Haller et al.Dec 15arXiv

FINERWEB is a new, carefully built dataset pipeline that teaches computers to spot names of people, places, and more across 91 languages and 25 writing systems.

#multilingual NER#named entity recognition#LLM supervision

Papers3

Mode Seeking meets Mean Seeking for Fast Long Video Generation

MetricAnything: Scaling Metric Depth Pretraining with Noisy Heterogeneous Sources

FiNERweb: Datasets and Artifacts for Scalable Multilingual Named Entity Recognition