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Arka Mukherjee

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#artificial intelligence Preprint Sep 2026

LazySloth: Bounded LLM-based Lazy Tree Search for Fast Long Video Comprehension

Modern vision-language models (VLMs) have shown promising results in long-video understanding due to the rich semantic information they can capture. However, most methods focus on coarse captioning of extracted image frames that are computationally inefficient and require models with large context windows. While past w...

Arka Mukherjee, Kaleen Shrestha, Larissa Zhu et al. · 0 citations
#computer vision Preprint Aug 2026

GeoAgent: Evaluating VLM Geolocalization Through Embodied Navigation

This work introduces GeoAgent, an agentic environment-based benchmark that requires agents to navigate Street View environments to refine their geolocalization through sequential reasoning, and establishes the challenges of embodied navigation and geospatial reasoning.

Arka Mukherjee, Soham Roy, Kartikeya Trivedi et al. · 0 citations

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