3 papers
cs.CL2025
Fast and Accurate Contextual Knowledge Extraction Using Cascading Language Model Chains and Candidate Answers
Lee Harris
Language models can capture complex relationships in given text, but these are notorious for being costly and for producing information that does not exist (i.e., hallucinations).…
cs.IR2025
Comparing Lexical and Semantic Vector Search Methods When Classifying Medical Documents
Lee Harris
Classification is a common AI problem, and vector search is a typical solution. This transforms a given body of text into a numerical representation, known as an embedding, and mod…
cs.AI2025
Extracting Explainable Dates From Medical Images By Reverse-Engineering UNIX Timestamps
Lee Harris
Dates often contribute towards highly impactful medical decisions, but it is rarely clear how to extract this data. AI has only just begun to be used transcribe such documents, and…