Results 171 to 180 of about 166,779 (318)
Abstract This paper asks how LLM‐based systems can produce text that is taken as contextually appropriate by humans without having seen text in its broader context. To understand how this is possible, context and co‐text have to be distinguished. Co‐text is input to LLMs during training and at inference as well as the primary resource of sense‐making ...
Ole Pütz
wiley +1 more source
Revolutionizing Educational Assessment: The Role of Bing Chat GPT-4 Chatbot in Increasing Efficiency in Grading Open-Ended Questions. [PDF]
Abadam-Eremeev D +6 more
europepmc +1 more source
Perception of Chat Generative Pre-trained Transformer (Chat-GPT) AI tool amongst MSK clinicians. [PDF]
Iyengar KP +4 more
europepmc +1 more source
Purpose: To assess the alignment of GPT-4-based evaluation to human clinician experts, for the evaluation of responses to ophthalmology-related patient queries generated by fine-tuned LLM chatbots.
Elangovan, Kabilan +11 more
core
Nonhuman situational enmeshments—How participants build temporal infrastructures for ChatGPT
Abstract This paper investigates how participants recruit Large Language Models (LLMs) like ChatGPT as interactional co‐participants depending on their temporal enmeshment within an interactional flow. Using Charles Goodwin's co‐operative action framework, we analyze video data of human–AI interaction to trace the temporal structures established by ...
Nils Klowait, Maria Erofeeva
wiley +1 more source
Pharm D student's Knowledge, perception, and practice of CHAT-GPT in clinical training: a web-based cross-sectional survey in India. [PDF]
Easwaran V +9 more
europepmc +1 more source
A Chat(GPT) about the future of scientific publishing
E. Hill-Yardin +3 more
semanticscholar +1 more source
ABSTRACT Background This article explores how preclinical students in a UK medical school utilise ChatGPT during their case‐based learning (CBL) curriculum. Materials and Methods Focused ethnography was used to study 42 medical students and three clinical sciences students as they undertook seven CBL sessions over 4 weeks.
A. W. R. Taylor +4 more
wiley +1 more source
Assessing the Accuracy and Completeness of AI-Generated Dental Responses: An Evaluation of the Chat-GPT Model. [PDF]
Othman AA +5 more
europepmc +1 more source

