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Somdeb Sarkhel

Adobe Research

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#natural language process... Preprint Oct 2026

Evaluating VQA in Vision Language Models using Cooperative Principles

We evaluate the performance of Vision Language Models in Visual Question Answering (VQA) when questions violate Grice's maxims. To do this, we use VLMs to generate question modifiers that add non-essential, ambiguous or false information and show that in the presence of such violations, the VLMs that we evaluate (ChatG...

Monika Shah, S. Balaji, Somdeb Sarkhel et al. · 0 citations

Jul 2026

Mosaic: Runtime-Efficient Multi-Agent Embodied Planning

Mosaic is introduced, a runtime-efficient multi-agent planning framework that maintains accurate yet lightweight state tracking through agent-centric semantic memory that stores objects in relative coordinates, enabling geometric transformations and coordination.

Kunjal Panchal, Saayan Mitra, Sunav Choudhary et al. · arXiv.org · 0 citations