Author

Pranav Murthy Yeluripaty

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Jul 2026

When Prompts Ignore Structure: Graph-Based Attribute Reasoning for Calibrated VLMs

This work proposes ARGTCA, which represents (class, attribute) pairs as nodes in a Symbolic Attribute Graph and trains a Graph Attention Network (GAT) using contrastive objectives to produce structurally informed embeddings that capture inter-attribute dependencies.

Tanay Sodha, Aditya Sharma, Ramya Hebbalaguppe et al. · arXiv.org · 0 citations