Image de couverture de livre

rollama: An R package for using generative large language models through Ollama

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Gruber, Johannes B., Weber, Maximilian
Format:	Preprint
Publié:	2024
Sujets:	Computation and Language
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

MacBehaviour: An R package for behavioural experimentation on large language models
par: Duan, Xufeng, et autres
Publié: (2024)

Retrieval augmentation of large language models for lay language generation
par: Guo, Yue, et autres
Publié: (2022)

Disentangling generalization and memorization in large language models using chess
par: Pleiss, Leonard S., et autres
Publié: (2026)

The creative psychometric item generator: a framework for item generation and validation using large language models
par: Laverghetta Jr., Antonio, et autres
Publié: (2024)

AI-AI Bias: large language models favor communications generated by large language models
par: Laurito, Walter, et autres
Publié: (2024)

Do large language models resemble humans in language use?
par: Cai, Zhenguang G., et autres
Publié: (2023)

Are LLMs reliable? An exploration of the reliability of large language models in clinical note generation
par: Carandang, Kristine Ann M., et autres
Publié: (2025)

Biomedical knowledge graph-optimized prompt generation for large language models
par: Soman, Karthik, et autres
Publié: (2023)

Comparing large language models and human programmers for generating programming code
par: Hou, Wenpin, et autres
Publié: (2024)

Dissociating language and thought in large language models
par: Mahowald, Kyle, et autres
Publié: (2023)

Zero-shot generation of synthetic neurosurgical data with large language models
par: Barr, Austin A., et autres
Publié: (2025)

XLM: A Python package for non-autoregressive language models
par: Patel, Dhruvesh, et autres
Publié: (2025)

Explaining novel senses using definition generation with open language models
par: Fedorova, Mariia, et autres
Publié: (2025)

Enhancing textual textbook question answering with large language models and retrieval augmented generation
par: Alawwad, Hessa Abdulrahman, et autres
Publié: (2024)

The "LLM World of Words" English free association norms generated by large language models
par: Abramski, Katherine, et autres
Publié: (2024)

Text2Model: Generating dynamic chemical reactor models using large language models (LLMs)
par: Rupprecht, Sophia, et autres
Publié: (2025)

Prospects for inconsistency detection using large language models and sheaves
par: Huntsman, Steve, et autres
Publié: (2024)

Prompting language influences diagnostic reasoning and accuracy of large language models
par: Bazoge, Adrien, et autres
Publié: (2026)

A review on the use of large language models as virtual tutors
par: García-Méndez, Silvia, et autres
Publié: (2024)

Alignment faking in large language models
par: Greenblatt, Ryan, et autres
Publié: (2024)

Retrieval augmented generation based dynamic prompting for few-shot biomedical named entity recognition using large language models
par: Ge, Yao, et autres
Publié: (2025)

A survey of textual cyber abuse detection using cutting-edge language models and large language models
par: Diaz-Garcia, Jose A., et autres
Publié: (2025)

Dynamic data sampler for cross-language transfer learning in large language models
par: Li, Yudong, et autres
Publié: (2024)

Multilingual large language models leak human stereotypes across language boundaries
par: Cao, Yang Trista, et autres
Publié: (2023)

Language-agnostic, automated assessment of listeners' speech recall using large language models
par: Herrmann, Björn
Publié: (2025)

Entry-level guide to the use of large language models for medical research
par: Jin, Qiao, et autres
Publié: (2024)

On the attribution of confidence to large language models
par: Keeling, Geoff, et autres
Publié: (2024)

Measuring short-form factuality in large language models
par: Wei, Jason, et autres
Publié: (2024)

ThoughtSource: A central hub for large language model reasoning data
par: Ott, Simon, et autres
Publié: (2023)

Can adversarial attacks by large language models be attributed?
par: Cebrian, Manuel, et autres
Publié: (2024)

What can large language models do for sustainable food?
par: Thomas, Anna T., et autres
Publié: (2025)

Representation in large language models
par: Yetman, Cameron
Publié: (2025)

World model inspired sarcasm reasoning with large language model agents
par: Inoshita, Keito, et autres
Publié: (2025)

Evaluation of GPT-based large language generative AI models as study aids for the national licensure examination for registered dietitians in Japan
par: Nagamori, Yuta, et autres
Publié: (2025)

Failure of contextual invariance in large language models
par: Kumar, Sagar, et autres
Publié: (2026)

Sentiment analysis of preservice teachers' reflections using a large language model
par: Park, Yunsoo, et autres
Publié: (2024)

The use of large language models to enhance cancer clinical trial educational materials
par: Gao, Mingye, et autres
Publié: (2024)

B-score: Detecting biases in large language models using response history
par: Vo, An, et autres
Publié: (2025)

A systematic review of trial-matching pipelines using large language models
par: Morrison, Braxton A., et autres
Publié: (2025)

Recourse for reclamation: Chatting with generative language models
par: Chien, Jennifer, et autres
Publié: (2024)