Results 131 to 140 of about 2,779 (194)

Monitoring water vapor transport in near real-time with low-cost GNSS receiver network. [PDF]

Sci Rep
Wu J, Ma H, Wu W, Cheng D.
europepmc   +1 more source

Code-mixed Sentiment and Hate-speech Prediction

Code-mixed discourse combines multiple languages in a single text. It is commonly used in informal discourse in countries with several official languages, but also in many other countries in combination with English or neighboring languages.
Agarwal, Basant, Garg, Tanya, Klemen, Matej, Sikonja, Marko Robnik, Ulcar, Matej, Yadav, Anjali   +5 more
core  

A hallucination detection and mitigation framework for faithful text summarization using LLMs. [PDF]

Sci Rep
Liu S, Gao Y, Li S, Wang P, Wang T.
europepmc   +1 more source

EYE-Llama, an in-domain large language model for ophthalmology. [PDF]

iScience
Haghighi T, Gholami S, Sokol JT, Kishnani E, Ahsaniyan A, Rahmanian H, Hedayati F, Leng T, Alam MN.   +8 more
europepmc   +1 more source

Artificial or Augmented Authorship? A Conversation with a Chatbot on Base of Thumb Arthritis. [PDF]

Plast Reconstr Surg Glob Open, 2023
Seth I, Sinkjær Kenney P, Bulloch G, Hunter-Smith DJ, Bo Thomsen J, Rozen WM.   +5 more
europepmc   +1 more source

STARLING: Self-supervised Training of Text-based Reinforcement Learning Agent with Large Language Models

Interactive fiction games have emerged as an important application to improve the generalization capabilities of language-based reinforcement learning (RL) agents.
Basavatia, Shreyas, Murugesan, Keerthiram, Ratnakar, Shivam   +2 more
core  

Topological data mapping of online hate speech, misinformation, and general mental health: A large language model based study. [PDF]

PLOS Digit Health
Alexander AW, Wang H.
europepmc   +1 more source

The wide range of opportunities for large language models such as ChatGPT in rheumatology. [PDF]

RMD Open, 2023
Hügle T.
europepmc   +1 more source

Reliability of large language models in managing odontogenic sinusitis clinical scenarios: a preliminary multidisciplinary evaluation. [PDF]

Eur Arch Otorhinolaryngol
Saibene AM, Allevi F, Calvo-Henriquez C, Maniaci A, Mayo-Yáñez M, Paderno A, Vaira LA, Felisati G, Craig JR.   +8 more
europepmc   +1 more source