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While Large Language Models (LLMs) are being quickly adapted to many domains, including healthcare, their strengths and pitfalls remain under-explored.
5th ed. Washington, DC: American Psychiatric Publishing, a Division of American Psychiatric Association; 2013
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Language Models are Few-Shot Learners
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A Wizard-of-Oz Interface and Persona-based Methodology for Collecting Health Counseling Dialog
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Artificial Intelligence Chatbot Behavior Change Model for Designing Artificial Intelligence Chatbots to Promote Physical Activity and a Healthy Diet: Viewpoint
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10th International Conference on Learning Representations (ICLR)
Wei J, Bosma M, Zhao V, Guu K, Yu AW, Lester B, et al.. Finetuned Language Models are Zero-Shot Learners; 2022 · 2022
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Large language models are zero-shot reasoners
Kojima T, Gu SS, Reid M, Matsuo Y, Iwasawa Y · 2022
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LIMA: Less Is More for Alignment
Zhou C, Liu P, Xu P, Iyer S, Sun J, Mao Y, et al · 2023
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LLM-empowered Chatbots for Psychiatrist and Patient Simulation: Application and Evaluation
Chen S, Wu M, Zhu KQ, Lan K, Zhang Z, Cui L · 2023
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Enhancing Psychological Counseling with Large Language Model: A Multifaceted Decision-Support System for Non-Professionals
Fu G, Zhao Q, Li J, Luo D, Song C, Zhai W, et al · 2023
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Fine-Tuning or Retrieval? Comparing Knowledge Injection in LLMs
Ovadia O, Brief M, Mishaeli M, Elisha O · 2023
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Adapted Large Language Models Can Outperform Medical Experts in Clinical Text Summarization
Van Veen D, Van Uden C, Blankemeier L, Delbrouck JB, Aali A, Bluethgen C, et al · 2024
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Comparing Caregiving Needs in Asian and White Family Caregivers through a Journaling Exercise Delivered by a Conversational Agent
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Can Generalist Foundation Models Outcompete Special-Purpose Tuning? Case Study in Medicine
Nori H, Lee YT, Zhang S, Carignan D, Edgar R, Fusi N, et al · 2023
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RoleLLM: Benchmarking, Eliciting, and Enhancing Role-Playing Abilities of Large Language Models
Wang ZM, Peng Z, Que H, Liu J, Zhou W, Wu Y, et al · 2024
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