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Author

Yogesh Kulkarni

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#artificial intelligence Review Sep 2026

Video Generation Models: A Survey of Post-Training and Alignment

This survey aims to provide a structured conceptual foundation and practical guidance for advancing controllable and reliable video generation models and frame post-training as a unifying framework and distinguish between implicit alignment and explicit alignment based on how alignment signals are enforced.

Chaoyu Li, Xiaoyi Gu, Yogesh Kulkarni et al. · 3 citations
Preprint Aug 2026

Video-FLAIR: Not Whether to Reason, But How

Video-FLAIR is introduced, a training framework that learns to select the appropriate reasoning mode for each query using reinforcement learning, and yields a supervision signal for learning adaptive reasoning without per-query annotations.

Yogesh Kulkarni, Pooyan Fazli · 0 citations

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