Author

Ce Zhang

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#artificial intelligence Jan 2026

TimeBlind: A Spatio-Temporal Compositionality Benchmark for Video LLMs

TimeBlind is presented, a diagnostic benchmark for compositional spatio-temporal understanding that demonstrates that even frontier models rely heavily on static visual shortcuts rather than genuine temporal logic, positioning TimeBlind as a vital diagnostic tool for next-generation video understanding.

Baiqi Li, Kangyi Zhao, Ce Zhang et al. · arXiv.org · 11 citations · ⚡4

Jul 2026

Searching Videos as Trees: Self-Correcting Agents for Grounded Long Video QA

VideoTreeSearch (VTS) is proposed, a framework that casts grounded LVQA as iterative self-correcting search over an adaptive temporal tree, and trains an agent to navigate the tree through four discrete operations: zoom_in, zoom_out, shift, and answer.

Ce Zhang, Ziyang Wang, Yu-Lu Pan et al. · arXiv.org · 0 citations

#artificial intelligence May 2026

EgoMemReason: A Memory-Driven Reasoning Benchmark for Long-Horizon Egocentric Video Understanding

EgoMemReason is introduced, a comprehensive benchmark for week-long egocentric video understanding through memory-driven reasoning that evaluates three complementary memory types: entity memory, tracking how object states evolve and change across days; event memory, recalling and ordering activities separated by hours...

Ziyang Wang, Yue Zhang, Shoubin Yu et al. · arXiv.org · 2 citations