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D. G

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Conference Aug 2026

When Not to Answer: Confidence-Aware Response Control for Hallucination Reduction in Consumer Rights Question Answering

Large Language Models (LLMs) are increasingly deployed in high-stakes domains such as legal assistance and consumer rights support, where response accuracy is of paramount importance; however, a critical challenge in such deployments is hallucination-the generation of factually incorrect or unverified statements that m...

Adithyan K, K. V, D. G. · 0 citations
Conference Jul 2026

Privacy-Preserving Multi-Label Chest Disease Classification using CLAHE-Enhanced ResNeSt-50 in a Federated Learning Framework

Deep learning based medical diagnosis systems are often hindered by privacy restrictions on patients’ health data. In this paper, we propose a privacy preserving decentralized algorithm for multi-label classification of chest diseases using Federated Learning (FL). We experimented on 26,218 images sampled from NIH Ches...

Varsha Jayakumar, Arathi Madhu, D. G · 0 citations

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