Copertina

Prompting Large Language Models to Detect Dementia Family Caregivers

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Biswas, Md Badsha, Uzuner, Özlem
Natura:	Preprint
Pubblicazione:	2025
Soggetti:	Computation and Language Machine Learning
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Contradiction to Consensus: Dual Perspective, Multi Source Retrieval Based Claim Verification with Source Level Disagreement using LLM
di: Biswas, Md Badsha, et al.
Pubblicazione: (2026)

Data Augmentation for Classification of Negative Pregnancy Outcomes in Imbalanced Data
di: Biswas, Md Badsha
Pubblicazione: (2025)

A Systematic Analysis of Large Language Models with RAG-enabled Dynamic Prompting for Medical Error Detection and Correction
di: Ahmed, Farzad, et al.
Pubblicazione: (2025)

Alzheimer's Dementia Detection Using Perplexity from Paired Large Language Models
di: Xiao, Yao, et al.
Pubblicazione: (2025)

Automatic Prompt Selection for Large Language Models
di: Do, Viet-Tung, et al.
Pubblicazione: (2024)

Benchmarking Large Language Model Uncertainty for Prompt Optimization
di: Guo, Pei-Fu, et al.
Pubblicazione: (2024)

Assessing Large Language Models for Structured Medical Order Extraction
di: Karim, A H M Rezaul, et al.
Pubblicazione: (2025)

PromptCoT 2.0: Scaling Prompt Synthesis for Large Language Model Reasoning
di: Zhao, Xueliang, et al.
Pubblicazione: (2025)

Risks, Causes, and Mitigations of Widespread Deployments of Large Language Models (LLMs): A Survey
di: Sakib, Md Nazmus, et al.
Pubblicazione: (2024)

Bias after Prompting: Persistent Discrimination in Large Language Models
di: Sivakumar, Nivedha, et al.
Pubblicazione: (2025)

Large Language Model Prompt Datasets: An In-depth Analysis and Insights
di: Zhang, Yuanming, et al.
Pubblicazione: (2025)

Prompting Large Language Models for Clinical Temporal Relation Extraction
di: He, Jianping, et al.
Pubblicazione: (2024)

Progressive-Hint Prompting Improves Reasoning in Large Language Models
di: Zheng, Chuanyang, et al.
Pubblicazione: (2023)

Prompt-Dependent Ranking of Large Language Models with Uncertainty Quantification
di: Menendez, Angel Rodrigo Avelar, et al.
Pubblicazione: (2026)

Retrieval-Augmented Large Language Models for Schema-Constrained Clinical Information Extraction
di: Karim, A H M Rezaul, et al.
Pubblicazione: (2026)

Prompting and Fine-tuning Large Language Models for Automated Code Review Comment Generation
di: Haider, Md. Asif, et al.
Pubblicazione: (2024)

Question-Aware Knowledge Graph Prompting for Enhancing Large Language Models
di: Liu, Haochen, et al.
Pubblicazione: (2025)

Multimodal Retrieval-Augmented Generation with Large Language Models for Medical VQA
di: Karim, A H M Rezaul, et al.
Pubblicazione: (2025)

Understanding the Relationship between Prompts and Response Uncertainty in Large Language Models
di: Zhang, Ze Yu, et al.
Pubblicazione: (2024)

Leveraging Large Language Models for Structure Learning in Prompted Weak Supervision
di: Su, Jinyan, et al.
Pubblicazione: (2024)

APPL: A Prompt Programming Language for Harmonious Integration of Programs and Large Language Model Prompts
di: Dong, Honghua, et al.
Pubblicazione: (2024)

Enhancing Granular Sentiment Classification with Chain-of-Thought Prompting in Large Language Models
di: Miriyala, Vihaan, et al.
Pubblicazione: (2025)

The Illusionist's Prompt: Exposing the Factual Vulnerabilities of Large Language Models with Linguistic Nuances
di: Wang, Yining, et al.
Pubblicazione: (2025)

Beyond the Prompt in Large Language Models: Comprehension, In-Context Learning, and Chain-of-Thought
di: Jiao, Yuling, et al.
Pubblicazione: (2026)

On Prompt-Driven Safeguarding for Large Language Models
di: Zheng, Chujie, et al.
Pubblicazione: (2024)

Graph Neural Prompting with Large Language Models
di: Tian, Yijun, et al.
Pubblicazione: (2023)

Soft Prompting for Unlearning in Large Language Models
di: Bhaila, Karuna, et al.
Pubblicazione: (2024)

SequentialBreak: Large Language Models Can be Fooled by Embedding Jailbreak Prompts into Sequential Prompt Chains
di: Saiem, Bijoy Ahmed, et al.
Pubblicazione: (2024)

Labels Generated by Large Language Models Help Measure People's Empathy in Vitro
di: Hasan, Md Rakibul, et al.
Pubblicazione: (2025)

PromptRobust: Towards Evaluating the Robustness of Large Language Models on Adversarial Prompts
di: Zhu, Kaijie, et al.
Pubblicazione: (2023)

RePrompt: Planning by Automatic Prompt Engineering for Large Language Models Agents
di: Chen, Weizhe, et al.
Pubblicazione: (2024)

Towards Lightweight Reliability: Using Soft Prompts for Hallucination Mitigation in Large Language Models
di: Siddiqui, S M Tahmid, et al.
Pubblicazione: (2026)

GLaPE: Gold Label-agnostic Prompt Evaluation and Optimization for Large Language Model
di: Zhang, Xuanchang, et al.
Pubblicazione: (2024)

JoPA:Explaining Large Language Model's Generation via Joint Prompt Attribution
di: Chang, Yurui, et al.
Pubblicazione: (2024)

LLM Enhancer: Merged Approach using Vector Embedding for Reducing Large Language Model Hallucinations with External Knowledge
di: Rayhan, Naheed, et al.
Pubblicazione: (2025)

Synergizing Unsupervised and Supervised Learning: A Hybrid Approach for Accurate Natural Language Task Modeling
di: Talukdar, Wrick, et al.
Pubblicazione: (2024)

Deep Prompt Multi-task Network for Abuse Language Detection
di: Zhu, Jian, et al.
Pubblicazione: (2024)

Prompt-Response Semantic Divergence Metrics for Faithfulness Hallucination and Misalignment Detection in Large Language Models
di: Halperin, Igor
Pubblicazione: (2025)

Revisiting Prompt Sensitivity in Large Language Models for Text Classification: The Role of Prompt Underspecification
di: Pecher, Branislav, et al.
Pubblicazione: (2026)

CodeMixBench: Evaluating Large Language Models on Code Generation with Code-Mixed Prompts
di: Sheokand, Manik, et al.
Pubblicazione: (2025)