Results 141 to 150 of about 63,129 (302)

Legal large language models (LLMs): legal dynamos or “fancifully packaged ChatGPT”?

open access: yesDiscover Artificial Intelligence
This brief comment considers the impact of large language models (LLMs) specifically designed for legal tasks. In the author’s view, conversations regarding the use of such LLMs in the legal profession have been considered from various extremes depending
Fife Ogunde
doaj   +1 more source

SciLitMiner: An Intelligent System for Scientific Literature Mining and Knowledge Discovery

open access: yesAdvanced Intelligent Systems, EarlyView.
SciLitMiner is an intelligent system that federately ingests scientific literature, filters it using advanced information retrieval methods, and applies retrieval‐augmented generation tailored to scientific domains. Demonstrated on creep deformation in γ‐TiAl alloys, SciLitMiner provides a controlled workflow for systematic knowledge discovery and ...
Vipul Gupta   +3 more
wiley   +1 more source

Language-Specific Neurons: The Key to Multilingual Capabilities in Large Language Models

open access: yes
Large language models (LLMs) demonstrate remarkable multilingual capabilities without being pre-trained on specially curated multilingual parallel corpora.
Huang, Haoyang   +7 more
core  

Comparative Safety Profiles of Ocrelizumab and Rituximab in Multiple Sclerosis Treatment Using Real‐World Evidence

open access: yesAnnals of Neurology, EarlyView.
Objective The objective of this study was to compare the long‐term safety profiles of ocrelizumab and rituximab in persons with multiple sclerosis (MS). Methods Using retrospective data from the University of California (UC) Health System, we simulated a target clinical trial. The primary cohort from UC San Francisco (UCSF) and a validation cohort from
Gabriel Cerono   +3 more
wiley   +1 more source

LABOR-LLM: Language-Based Occupational Representations with Large Language Models

open access: yes
Vafa et al. (2024) introduced a transformer-based econometric model, CAREER, that predicts a worker's next job as a function of career history (an "occupation model"). CAREER was initially estimated ("pre-trained") using a large, unrepresentative resume dataset, which served as a "foundation model," and parameter estimation was continued ("fine-tuned")
Athey, Susan   +4 more
openaire   +2 more sources

Sustainable Graphene Oxide–Intercalated Bentonite Composite for the Effective Removal of Imidacloprid From Water: Adsorption Performance, Isotherm, and Kinetics

open access: yesAsia-Pacific Journal of Chemical Engineering, EarlyView.
ABSTRACT Water is a fundamental necessity for our existence, but its rapid contamination is causing devastating effects on the environment and health of living species worldwide. Adsorptive removal of pollutants is one of the popular water treatment techniques because of its simplicity, affordability, and the broad range of available adsorbents.
Priyanka Negi   +3 more
wiley   +1 more source

Exploring large language models (LLMs) through interactive Python activities

open access: yesPhysics Education
Abstract This paper presents an approach to introduce physics students to the basic concepts of large language models (LLMs) using Python-based activities in Google Colab. The teaching strategy integrates active learning strategies and combines theoretical ideas with practical, physics-related examples. Students engage with key technical
openaire   +2 more sources

Are Large Language Models (LLMs) Good Social Predictors?

open access: yes
The prediction has served as a crucial scientific method in modern social studies. With the recent advancement of Large Language Models (LLMs), efforts have been made to leverage LLMs to predict the human features in social life, such as presidential ...
Li, Hang   +5 more
core  

ChatGPT for complex text evaluation tasks

open access: yesJournal of the Association for Information Science and Technology, Volume 76, Issue 4, Page 645-648, April 2025.
Abstract ChatGPT and other large language models (LLMs) have been successful at natural and computer language processing tasks with varying degrees of complexity. This brief communication summarizes the lessons learned from a series of investigations into its use for the complex text analysis task of research quality evaluation.
Mike Thelwall
wiley   +1 more source

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