About
Aditya Sharma is a researcher at the University of California Santa Barbara, focusing on Natural Language Processing, Computer Vision, and Artificial Intelligence. His work bridges vision-language models, medical AI evaluation, and knowledge graph reasoning.
- PhD: Advancing AI Understanding in Language & Vision (UCSB, 2024)
Research Interests:
• Vision-Language Models for geometric reasoning and mixed reality
• Medical LLM evaluation and hallucination reduction
• Temporal knowledge graph reasoning and multimodal systems
Article Trends:
Recent publications emphasize vision-language integration (e.g., GeoCoder, OCTO+), LLM reliability in medical contexts (MedHELM), and temporal reasoning (TwiRGCN). He explores applications in dark web security, healthcare diagnostics, and energy-efficient computing.
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