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cs.CL2026
A Multi-Stage Validation Framework for Trustworthy Large-scale Clinical Information Extraction using Large Language Models
Maria Mahbub, Gregory M. Dams, Josh Arnold +9
Large language models (LLMs) show promise for extracting clinically meaningful information from unstructured health records, yet their translation into real-world settings is const…
cs.CL2026
Visual Word Sense Disambiguation with CLIP through Dual-Channel Text Prompting and Image Augmentations
Shamik Bhattacharya, Daniel Perkins, Yaren Dogan +3
Ambiguity poses persistent challenges in natural language understanding for large language models (LLMs). To better understand how lexical ambiguity can be resolved through the vis…