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N. Saxena

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#artificial intelligence Preprint Aug 2026

RelCheck: Dual-Evidence Spatial Grounding for VLM Hallucination Correction

Multimodal large language models (MLLMs) fre- quently generate text that is inconsistent with the input image. While object- and attribute-level hallucinations have received considerable attention, relational hallucinations (incorrect de- scriptions of spatial or interactive relationships between objects) remain largel...

Siddhi Patil, N. Saxena, William B. Andreopoulos · 0 citations
Conference Jul 2026

Multi-Agent Medical Debate System for Clinical Reasoning

Clinical deployment of large language models (LLMs) for medical question answering faces three primary challenges: (1) models frequently produce unsupported or hallucinated claims because their parametric knowledge is not verified against biomedical evidence; (2) single-pass inference prevents iterative self-correction...

Shreyas Bhoyar, Adil Ansari, N. Saxena · 0 citations

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