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Author

Pooyan Fazli

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Preprint Oct 2026

EgoP$^{2}$C: Internalizing Plan-Perceive-Compose for Spatial Reasoning in Egocentric Video

Answering complex spatial reasoning questions from egocentric video requires determining what evidence is needed, acquiring targeted observations, and combining them through multiple reasoning steps. Existing vision-language models (VLMs) struggle to perform this process reliably. Agentic systems address this challenge...

Chaoyu Li, Arka Sadhu, Yu-Liang Li et al. · 0 citations
#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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