Skip to content
Log in
Sponsored AI AM CLAUDE, A Beginner's Guide: Learn the basics of working with AI AI AM CLAUDE, A Beginner's Guide: Learn the basics of working with AI

Author

Ramya Hebbalaguppe

h-index 1 View on Semantic Scholar

We have 2 of 4 papers

We haven’t gathered this author’s papers yet. Follow them and we’ll fetch their work.

Not the right person? Other researchers publish under this name.

#artificial intelligence Review Oct 2026

Are You Sure Your LLM Is Sure? Repairing and Auditing Confidence

Confidence scores determine whether an LLM answer is accepted, reviewed, or regenerated, yet scalar recalibration can only correct errors visible through the score itself. We introduce RADAR (Repair, Adopt, and Diagnose After Recalibration), a reliability framework that separates confidence repair from deciding whether...

Arijit Dey, Bhartendu Kumar, Ramya Hebbalaguppe et al. · 0 citations
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. · 0 citations

We use cookies to run the site and, with your consent, for analytics and to show ads. See our Cookie Policy.