Results 121 to 130 of about 6,971 (216)

Algorithmic Bias in BERT for Response Accuracy Prediction: A Case Study for Investigating Population Validity

Journal of Educational Measurement, Volume 63, Issue 1, Spring 2026.
Abstract Pretrained large language models (LLMs) have gained popularity in recent years due to their high performance in various educational tasks such as learner modeling, automated scoring, automatic item generation, and prediction. Nevertheless, LLMs are black box approaches where models are less interpretable, and they may carry human biases and ...
Guher Gorgun, Seyma N. Yildirim‐Erbasli   +1 more
wiley   +1 more source

Detection and characterization of Candidatus mycoplasma haemolamae haplotype in South American camelids farmed in Italy. [PDF]

Vet Res Commun
Lauzi S, Castaldo E, Ratti G, Sala G, Cafiso A, Facchin A, Filipe J, Scavone D, Crespi C, Scarcelli S, Filippone Pavesi L, Luzzago C, Boccardo A, Pravettoni D, Veneziano V, Giordano A.   +15 more
europepmc   +1 more source

Advances in Llama (Llama glama) coat color genetics

, 2019
Fil: Di Rocco, Florencia. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - La Plata. Instituto Multidisciplinario de Biología Celular. Provincia de Buenos Aires. Gobernación. Comisión de Investigaciones Científicas. Instituto Multidisciplinario de Biología Celular.
Daverio, Maria Silvana, Anello, Melina, Vidal Rioja, L., Di Rocco, Florencia   +3 more
openaire   +1 more source

Along the Silenced Footsteps of Latin American Pastoralists: From Mexico to Argentina, a Journey Through Pastoral Systems in Latin America

The Journal of Latin American and Caribbean Anthropology, Volume 31, Issue 1, March 2026.
ABSTRACT Pastoralism worldwide faces a complex landscape of increased pressures and exclusion. Beyond ecological and economic challenges, pastoralists suffer eroding cultural identity, limited generational renewal, and political marginalization. Yet pastoral livelihoods are increasingly recognized as stewards of sustainable futures and amongst the best
Greta Semplici, Pablo Manzano
wiley   +1 more source

Across deserts and Andes: a genetic exploration of GlyCam-1 in domestic camelids. [PDF]

BMC Vet Res
Letaief N, Alhaddad H, Lühken G, Gaspa G, Versace C, Miretti S, Cosenza G, Zhang Y, Pauciullo A.   +8 more
europepmc   +1 more source

LLAMA Project

, 2014
Fil: Arnal, Edmundo Marcelo. Provincia de Buenos Aires. Gobernación. Comisión de Investigaciones Científicas. Instituto Argentino de Radioastronomía. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - La Plata.
Arnal, Edmundo Marcelo, Abraham, Z., Giménez de Castro, G., Gouveia dal Pino, E. M. de, Larrarte, Juan José, Lepine, J., Morras, Ricardo, Viramonte, José   +7 more
openaire   +2 more sources

Named Entity Recognition Models for Machine Learning Interatomic Potentials: A User‐Centric Approach to Knowledge Extraction from Scientific Literature

Advanced Intelligent Discovery, Volume 2, Issue 1, February 2026.
Named entity recognition pipeline for knowledge extraction from scientific literature. Machine learning interatomic potential (MLIP) is an emerging technique that has helped achieve molecular dynamics simulations with unprecedented balance between efficiency and accuracy. Recently, the body of MLIP literature has been growing rapidly, which propels the
Bowen Zheng, Grace X. Gu
wiley   +1 more source

Large Language Model (LLM) and Human Performance in Child Investigative Interviewing Question Formulation Tasks

Behavioral Sciences &the Law, Volume 44, Issue 1, Page 142-163, January/February 2026.
ABSTRACT We compared the performance of large language models (LLMs) and humans with various levels of expertise in child investigative interviewing on tasks related to question formulation. Two tasks were employed: a static Interview Excerpt Task where participants (60 psychologists, 60 naive participants, GPT‐4, and Llama‐2) formulated follow‐up ...
Liisa Järvilehto, Yongjie Sun, Nami Aiba, Shumpei Haginoya, Hasse Hallström, Julia Korkman, Pekka Santtila   +6 more
wiley   +1 more source

Leveraging LLMs for Smart Cities Qualitative Data Analysis

Concurrency and Computation: Practice and Experience, Volume 38, Issue 3, February 2026.
ABSTRACT Public authorities frequently conduct surveys and analyze data from citizens, a process that is often labor‐intensive when performed manually. This paper explores how generative artificial intelligence (GenAI) can assist in automating data analysis for public authorities.
Elisa Covato, Kamran Soomro, Zaheer Khan, Muhammad Bilal, Roisin Cormack, Samuel Green   +5 more
wiley   +1 more source

Large Language Models for Clinical Trial Protocol Assessments

Clinical Pharmacology &Therapeutics, Volume 119, Issue 2, Page 393-402, February 2026.
The purpose was to evaluate the utility of large language models (LLMs) for reviewing the statistical analysis plan (SAP) and pharmacokinetics–pharmacodynamics (PK–PD) components of clinical trial protocols. Clinical trial protocols and SAPs were obtained from clinicaltrials.gov for a testbed of 15 small‐molecule drugs, biologics, and global antibiotic
Euibeom Shin, Amruta Gajanan Bhat, Murali Ramanathan   +2 more
wiley   +1 more source