Large language models (LLM) have achieved impressive performance on medical question-answering benchmarks. However, high benchmark accuracy does not imply that the performance generalizes to ...

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Evaluating natural language generation (NLG) systems in the medical domain presents unique challenges due to the critical demands for accuracy, relevance, and domain-specific expertise. Traditional ...

Objectives To gain an in-depth understanding of the experience of elderly joint replacement patients in making surgical decisions and to identify the needs of patients in the decision-making process.

Financial stability and fostering unity to combat “division and chaos” are two top priorities for new American College of ...

Abstract: Medical multi-choice question-answering (Medical MCQA) is an emerging topic with great practical importance for diagnosis and treatment. However, this task is under-explored due to the ...

Despite privacy risks and inaccuracy concerns, people are feeding blood test results, doctor’s notes and surgical reports ...

Collecting an account of practitioners’ lived experiences of on-pitch concussion management in football provides real-world ...

We evaluate DeepCode on the PaperBench benchmark (released by OpenAI), a rigorous testbed requiring AI agents to independently reproduce 20 ICML 2024 papers from scratch. The benchmark comprises 8,316 ...

The authors don't ascribe any of that specifically to the term hallucination, but hallucination is one of those misapplied terms that imply agency and consciousness on the part of what is simply a ...