Video understanding benchmarks have long centered on single-camera settings, where modern multi-modal language models achieve strong performance across image and video tasks. Yet, the real world runs on multi-camera networks: autonomous vehicles, security systems, and robots all gather data across many simultaneous vie...
Sahil Shah, S. Sharan, Harsh Goel et al.· 1 citation
VSeek is introduced, an agentic framework that transforms long-video question answering (LVQA) from a passive, single-pass perception task into a multi-turn retrieval process and proposes a novel neuro-symbolic approach that bridges open-ended natural language with discrete visual verification.
Harsh Goel, S. Sharan, Sahil Shah et al.· arXiv.org· 1 citation
BayesBeliefAgent is introduced, which pairs a hierarchical LLM planner with a Bayesian tracking module and evaluates performance using replanning efficiency and the belief-action gap: the fraction of total decisions where an agent with a correct partner estimate executes a non-complementary skill.
Harsh Goel, Aditya Sai Ellendula, Vaishnav Tadiparthi et al.· 1 citation
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