Leveraging Large Language Models through Natural Language Processing to provide interpretable Machine Learning predictions of mental deterioration in real time
Fuente:
arXiv
Saved in:
| Main Authors: | de Arriba-Pérez, Francisco, García-Méndez, Silvia |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Explainable cognitive decline detection in free dialogues with a Machine Learning approach based on pre-trained Large Language Models
by: de Arriba-Pérez, Francisco, et al.
Published: (2024)
by: de Arriba-Pérez, Francisco, et al.
Published: (2024)
Detecting and explaining postpartum depression in real-time with generative artificial intelligence
by: García-Méndez, Silvia, et al.
Published: (2025)
by: García-Méndez, Silvia, et al.
Published: (2025)
Explainable e-sports win prediction through Machine Learning classification in streaming
by: García-Méndez, Silvia, et al.
Published: (2025)
by: García-Méndez, Silvia, et al.
Published: (2025)
Promoting Security and Trust on Social Networks: Explainable Cyberbullying Detection Using Large Language Models in a Stream-Based Machine Learning Framework
by: García-Méndez, Silvia, et al.
Published: (2025)
by: García-Méndez, Silvia, et al.
Published: (2025)
Automatic detection of cognitive impairment in elderly people using an entertainment chatbot with Natural Language Processing capabilities
by: de Arriba-Pérez, Francisco, et al.
Published: (2024)
by: de Arriba-Pérez, Francisco, et al.
Published: (2024)
Informatics & dairy industry coalition: AI trends and present challenges
by: García-Méndez, Silvia, et al.
Published: (2024)
by: García-Méndez, Silvia, et al.
Published: (2024)
A review on the use of large language models as virtual tutors
by: García-Méndez, Silvia, et al.
Published: (2024)
by: García-Méndez, Silvia, et al.
Published: (2024)
Explainable assessment of financial experts' credibility by classifying social media forecasts and checking the predictions with actual market data
by: García-Méndez, Silvia, et al.
Published: (2024)
by: García-Méndez, Silvia, et al.
Published: (2024)
Genshin: General Shield for Natural Language Processing with Large Language Models
by: Peng, Xiao, et al.
Published: (2024)
by: Peng, Xiao, et al.
Published: (2024)
Detection of Temporality at Discourse Level on Financial News by Combining Natural Language Processing and Machine Learning
by: García-Méndez, Silvia, et al.
Published: (2024)
by: García-Méndez, Silvia, et al.
Published: (2024)
Unraveling Emotions with Pre-Trained Models
by: Pajón-Sanmartín, Alejandro, et al.
Published: (2025)
by: Pajón-Sanmartín, Alejandro, et al.
Published: (2025)
Explainable machine learning multi-label classification of Spanish legal judgements
by: de Arriba-Pérez, Francisco, et al.
Published: (2024)
by: de Arriba-Pérez, Francisco, et al.
Published: (2024)
Detecting anxiety and depression in dialogues: a multi-label and explainable approach
by: de Arriba-Pérez, Francisco, et al.
Published: (2024)
by: de Arriba-Pérez, Francisco, et al.
Published: (2024)
Quantized Large Language Models in Biomedical Natural Language Processing: Evaluation and Recommendation
by: Zhan, Zaifu, et al.
Published: (2025)
by: Zhan, Zaifu, et al.
Published: (2025)
Leveraging Biomolecule and Natural Language through Multi-Modal Learning: A Survey
by: Pei, Qizhi, et al.
Published: (2024)
by: Pei, Qizhi, et al.
Published: (2024)
BioInstruct: Instruction Tuning of Large Language Models for Biomedical Natural Language Processing
by: Tran, Hieu, et al.
Published: (2023)
by: Tran, Hieu, et al.
Published: (2023)
The Evolving Landscape of Generative Large Language Models and Traditional Natural Language Processing in Medicine
by: Yang, Rui, et al.
Published: (2025)
by: Yang, Rui, et al.
Published: (2025)
Bridging the Linguistic Divide: A Survey on Leveraging Large Language Models for Machine Translation
by: Gain, Baban, et al.
Published: (2025)
by: Gain, Baban, et al.
Published: (2025)
Large Language Models for Human-Machine Collaborative Particle Accelerator Tuning through Natural Language
by: Kaiser, Jan, et al.
Published: (2024)
by: Kaiser, Jan, et al.
Published: (2024)
Exposing and Explaining Fake News On-the-Fly
by: de Arriba-Pérez, Francisco, et al.
Published: (2024)
by: de Arriba-Pérez, Francisco, et al.
Published: (2024)
Leveraging Large Language Models for Entity Matching
by: Huang, Qianyu, et al.
Published: (2024)
by: Huang, Qianyu, et al.
Published: (2024)
Advancements in eHealth Data Analytics through Natural Language Processing and Deep Learning
by: Apostol, Elena-Simona, et al.
Published: (2024)
by: Apostol, Elena-Simona, et al.
Published: (2024)
Are LLMs effective psychological assessors? Leveraging adaptive RAG for interpretable mental health screening through psychometric practice
by: Ravenda, Federico, et al.
Published: (2025)
by: Ravenda, Federico, et al.
Published: (2025)
Automatic explanation of the classification of Spanish legal judgments in jurisdiction-dependent law categories with tree estimators
by: González-González, Jaime, et al.
Published: (2024)
by: González-González, Jaime, et al.
Published: (2024)
Token-Efficient Leverage Learning in Large Language Models
by: Zeng, Yuanhao, et al.
Published: (2024)
by: Zeng, Yuanhao, et al.
Published: (2024)
Natural Context Drift Undermines the Natural Language Understanding of Large Language Models
by: Wu, Yulong, et al.
Published: (2025)
by: Wu, Yulong, et al.
Published: (2025)
The dynamics of meaning through time: Assessment of Large Language Models
by: Alrefaie, Mohamed Taher, et al.
Published: (2025)
by: Alrefaie, Mohamed Taher, et al.
Published: (2025)
A Universal Prompting Strategy for Extracting Process Model Information from Natural Language Text using Large Language Models
by: Neuberger, Julian, et al.
Published: (2024)
by: Neuberger, Julian, et al.
Published: (2024)
Leveraging In-Context Learning for Language Model Agents
by: Gupta, Shivanshu, et al.
Published: (2025)
by: Gupta, Shivanshu, et al.
Published: (2025)
Deciphering the Impact of Pretraining Data on Large Language Models through Machine Unlearning
by: Zhao, Yang, et al.
Published: (2024)
by: Zhao, Yang, et al.
Published: (2024)
Machine Unlearning in Large Language Models
by: Gundavarapu, Saaketh Koundinya, et al.
Published: (2024)
by: Gundavarapu, Saaketh Koundinya, et al.
Published: (2024)
Online detection and infographic explanation of spam reviews with data drift adaptation
by: de Arriba-Pérez, Francisco, et al.
Published: (2024)
by: de Arriba-Pérez, Francisco, et al.
Published: (2024)
Natural Language Counterfactual Explanations for Graphs Using Large Language Models
by: Giorgi, Flavio, et al.
Published: (2024)
by: Giorgi, Flavio, et al.
Published: (2024)
Executing Natural Language-Described Algorithms with Large Language Models: An Investigation
by: Zheng, Xin, et al.
Published: (2024)
by: Zheng, Xin, et al.
Published: (2024)
Leveraging Large Language Model as Simulated Patients for Clinical Education
by: Li, Yanzeng, et al.
Published: (2024)
by: Li, Yanzeng, et al.
Published: (2024)
Do Large Language Models Mirror Cognitive Language Processing?
by: Ren, Yuqi, et al.
Published: (2024)
by: Ren, Yuqi, et al.
Published: (2024)
Predictability and Causality in Spanish and English Natural Language Generation
by: Busto-Castiñeira, Andrea, et al.
Published: (2024)
by: Busto-Castiñeira, Andrea, et al.
Published: (2024)
Empowering Large Language Model Agents through Action Learning
by: Zhao, Haiteng, et al.
Published: (2024)
by: Zhao, Haiteng, et al.
Published: (2024)
Natural Language Processing in the Legal Domain
by: Hartung, Dirk, et al.
Published: (2023)
by: Hartung, Dirk, et al.
Published: (2023)
Speciesism in Natural Language Processing Research
by: Takeshita, Masashi, et al.
Published: (2024)
by: Takeshita, Masashi, et al.
Published: (2024)
Similar Items
-
Explainable cognitive decline detection in free dialogues with a Machine Learning approach based on pre-trained Large Language Models
by: de Arriba-Pérez, Francisco, et al.
Published: (2024) -
Detecting and explaining postpartum depression in real-time with generative artificial intelligence
by: García-Méndez, Silvia, et al.
Published: (2025) -
Explainable e-sports win prediction through Machine Learning classification in streaming
by: García-Méndez, Silvia, et al.
Published: (2025) -
Promoting Security and Trust on Social Networks: Explainable Cyberbullying Detection Using Large Language Models in a Stream-Based Machine Learning Framework
by: García-Méndez, Silvia, et al.
Published: (2025) -
Automatic detection of cognitive impairment in elderly people using an entertainment chatbot with Natural Language Processing capabilities
by: de Arriba-Pérez, Francisco, et al.
Published: (2024)