Deepak Gupta

Retrieval-Augmented Generation (RAG) systems degrade sharply under extreme noise, where relevant evidence is sparse and easily pruned by static retrieval decisions. Existing approaches fixed top-k retrieval, hierarchical chunking, cross-encoder reranking, or policy-based iterative control- either...

Recommending visually compatible products in fashion and interior design is a significant challenge, as compatibility rules are nuanced, context-dependent, and reliant on fine-grained details that traditional models fail to capture. Existing methods often struggle with heterogeneous compatibility...

Large Language Models (LLMs) are prone to hallucinations, producing fluent but factually incorrect statements. Recent multi-agent debate methods improve hallucination detection by jointly improving reasoning and decision-making. However, existing approaches either collaborate which amplifies shar...