:: Library Catalog

Image de couverture de livre

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Biswas, Md Badsha, Uzuner, Özlem
Format:	Preprint
Publié:	2025
Sujets:	Computation and Language Machine Learning
Accès en ligne:	https://arxiv.org/abs/2508.01999
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Contradiction to Consensus: Dual Perspective, Multi Source Retrieval Based Claim Verification with Source Level Disagreement using LLM
par: Biswas, Md Badsha, et autres
Publié: (2026)

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

A Systematic Analysis of Large Language Models with RAG-enabled Dynamic Prompting for Medical Error Detection and Correction
par: Ahmed, Farzad, et autres
Publié: (2025)

Assessing Large Language Models for Structured Medical Order Extraction
par: Karim, A H M Rezaul, et autres
Publié: (2025)

Alzheimer's Dementia Detection Using Perplexity from Paired Large Language Models
par: Xiao, Yao, et autres
Publié: (2025)

Retrieval-Augmented Large Language Models for Schema-Constrained Clinical Information Extraction
par: Karim, A H M Rezaul, et autres
Publié: (2026)

Multimodal Retrieval-Augmented Generation with Large Language Models for Medical VQA
par: Karim, A H M Rezaul, et autres
Publié: (2025)

Automatic Prompt Selection for Large Language Models
par: Do, Viet-Tung, et autres
Publié: (2024)

Benchmarking Large Language Model Uncertainty for Prompt Optimization
par: Guo, Pei-Fu, et autres
Publié: (2024)

Risks, Causes, and Mitigations of Widespread Deployments of Large Language Models (LLMs): A Survey
par: Sakib, Md Nazmus, et autres
Publié: (2024)

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

PromptCoT 2.0: Scaling Prompt Synthesis for Large Language Model Reasoning
par: Zhao, Xueliang, et autres
Publié: (2025)

Bias after Prompting: Persistent Discrimination in Large Language Models
par: Sivakumar, Nivedha, et autres
Publié: (2025)

Large Language Model Prompt Datasets: An In-depth Analysis and Insights
par: Zhang, Yuanming, et autres
Publié: (2025)

Prompting Large Language Models for Clinical Temporal Relation Extraction
par: He, Jianping, et autres
Publié: (2024)

Progressive-Hint Prompting Improves Reasoning in Large Language Models
par: Zheng, Chuanyang, et autres
Publié: (2023)

Prompt-Dependent Ranking of Large Language Models with Uncertainty Quantification
par: Menendez, Angel Rodrigo Avelar, et autres
Publié: (2026)

SequentialBreak: Large Language Models Can be Fooled by Embedding Jailbreak Prompts into Sequential Prompt Chains
par: Saiem, Bijoy Ahmed, et autres
Publié: (2024)

APPL: A Prompt Programming Language for Harmonious Integration of Programs and Large Language Model Prompts
par: Dong, Honghua, et autres
Publié: (2024)

Question-Aware Knowledge Graph Prompting for Enhancing Large Language Models
par: Liu, Haochen, et autres
Publié: (2025)

Understanding the Relationship between Prompts and Response Uncertainty in Large Language Models
par: Zhang, Ze Yu, et autres
Publié: (2024)

Leveraging Large Language Models for Structure Learning in Prompted Weak Supervision
par: Su, Jinyan, et autres
Publié: (2024)

On Prompt-Driven Safeguarding for Large Language Models
par: Zheng, Chujie, et autres
Publié: (2024)

Graph Neural Prompting with Large Language Models
par: Tian, Yijun, et autres
Publié: (2023)

Soft Prompting for Unlearning in Large Language Models
par: Bhaila, Karuna, et autres
Publié: (2024)

Adapting Biomedical Abstracts into Plain language using Large Language Models
par: Gangavarapu, Haritha, et autres
Publié: (2025)

PromptRobust: Towards Evaluating the Robustness of Large Language Models on Adversarial Prompts
par: Zhu, Kaijie, et autres
Publié: (2023)

RePrompt: Planning by Automatic Prompt Engineering for Large Language Models Agents
par: Chen, Weizhe, et autres
Publié: (2024)

Enhancing Granular Sentiment Classification with Chain-of-Thought Prompting in Large Language Models
par: Miriyala, Vihaan, et autres
Publié: (2025)

The Illusionist's Prompt: Exposing the Factual Vulnerabilities of Large Language Models with Linguistic Nuances
par: Wang, Yining, et autres
Publié: (2025)

Beyond the Prompt in Large Language Models: Comprehension, In-Context Learning, and Chain-of-Thought
par: Jiao, Yuling, et autres
Publié: (2026)

Labels Generated by Large Language Models Help Measure People's Empathy in Vitro
par: Hasan, Md Rakibul, et autres
Publié: (2025)

LLM Enhancer: Merged Approach using Vector Embedding for Reducing Large Language Model Hallucinations with External Knowledge
par: Rayhan, Naheed, et autres
Publié: (2025)

Synergizing Unsupervised and Supervised Learning: A Hybrid Approach for Accurate Natural Language Task Modeling
par: Talukdar, Wrick, et autres
Publié: (2024)

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

Exploring the Potential of the Large Language Models (LLMs) in Identifying Misleading News Headlines
par: Rony, Md Main Uddin, et autres
Publié: (2024)

Adversarial Attack on Large Language Models using Exponentiated Gradient Descent
par: Biswas, Sajib, et autres
Publié: (2025)

Revisiting Prompt Sensitivity in Large Language Models for Text Classification: The Role of Prompt Underspecification
par: Pecher, Branislav, et autres
Publié: (2026)

An Early Investigation into the Utility of Multimodal Large Language Models in Medical Imaging
par: Khan, Sulaiman, et autres
Publié: (2024)

Towards Lightweight Reliability: Using Soft Prompts for Hallucination Mitigation in Large Language Models
par: Siddiqui, S M Tahmid, et autres
Publié: (2026)