Showing 2026Show all
3 papers · 1 filter
cs.LG2026
Rethinking Data Curation in LLM Training: Online Reweighting Offers Better Generalization than Offline Methods
Wanru Zhao, Yihong Chen, Yuzhi Tang +6
Data curation is a critical yet under-explored area in large language model (LLM) training. Existing methods, such as data selection and mixing, operate in an offline paradigm, det…
cs.CV2026
RFDM: Residual Flow Diffusion Model for Efficient Causal Video Editing
Mohammadreza Salehi, Mehdi Noroozi, Luca Morreale +4
Instructional video editing applies edits to an input video using only text prompts, enabling intuitive natural-language control. Despite rapid progress, most methods still require…
cs.CV2026
NanoFLUX: Distillation-Driven Compression of Large Text-to-Image Generation Models for Mobile Devices
Ruchika Chavhan, Malcolm Chadwick, Alberto Gil Couto Pimentel Ramos +3
While large-scale text-to-image diffusion models continue to improve in visual quality, their increasing scale has widened the gap between state-of-the-art models and on-device sol…