Results 121 to 130 of about 515,234 (309)
Evaluating Foundation Models on Timbre-Related Cognitive Tasks [PDF]
Foundation models are increasingly applied to MIR tasks, yet their performance on music cognition problems remains underexplored. In this work, we investigate how state-of-the-art audio-language models and large language models (LLMs) perform on timbre ...
Saitis, C +4 more
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Assessing the Relational Abilities of Large Language Models and Large Reasoning Models
We assessed the relational abilities of two state-of-the-art large language models (LLMs) and two large reasoning models (LRMs) using a new battery of several thousand syllogistic problems, similar to those used in behavior-analytic tasks for relational ...
Matthias Raemaekers +2 more
doaj +1 more source
This systematic review synthesizes prognostic models for survival and recurrence in resected non‐small cell lung cancer. While many models demonstrate moderate to good discrimination, few are externally validated and reporting quality is variable, limiting clinical applicability and highlighting the need for robust, transparent model development ...
Evangeline Samuel +4 more
wiley +1 more source
Personalized Large Language Models
Large language models (LLMs) have significantly advanced Natural Language Processing (NLP) tasks in recent years. However, their universal nature poses limitations in scenarios requiring personalized responses, such as recommendation systems and chatbots. This paper investigates methods to personalize LLMs, comparing fine-tuning and zero-shot reasoning
Stanislaw Wozniak +4 more
openaire +2 more sources
Manner implicatures in large language models
In human speakers’ daily conversations, what we do not say matters. We not only compute the literal semantics but also go beyond and draw inferences from what we could have said but chose not to.
Yan Cong
doaj +1 more source
Prompt Optimization in Large Language Models
Prompt optimization is a crucial task for improving the performance of large language models for downstream tasks. In this paper, a prompt is a sequence of n-grams selected from a vocabulary.
Antonio Sabbatella +4 more
doaj +1 more source
ABSTRACT Mental well‐being is central to adult learner success, yet many adult education institutions lack capacity to provide timely and accessible support. This article examines how artificial intelligence (AI) can strengthen mental health–adjacent supports in adult and continuing higher education, with attention to professional practice and ...
Adam L. McClain, Thomas Wade
wiley +1 more source
ABSTRACT Objective Super‐Refractory Status Epilepticus (SRSE) is a rare, life‐threatening neurological emergency with unclear etiology in many cases. Mitochondrial dysfunction, often due to disease‐causing genetic variants, is increasingly recognized as a cause, with each gene producing distinct pathophysiological mechanisms.
Pouria Mohammadi +2 more
wiley +1 more source
Evaluating Large Language Models for Burning Mouth Syndrome Diagnosis
Takayuki Suga,1 Osamu Uehara,2 Yoshihiro Abiko,3 Akira Toyofuku1 1Department of Psychosomatic Dentistry, Graduate School of Medical and Dental Sciences, Institute of Science Tokyo, Tokyo, Japan; 2Division of Disease Control and Molecular Epidemiology ...
Suga T, Toyofuku A, Uehara O, Abiko Y
core
Openai API, LLM (Large Language Models) [PDF]
La API de OpenAI es una interfaz de programación que proporciona acceso a modelos avanzados de inteligencia artificial (IA) desarrollados por OpenAI, específicamente Modelos de Lenguaje Grande (LLM), como GPT-3 y GPT-4.
Santa Quintero, Ricardo Andres +2 more
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