:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Hikal, Baraa, Nasreldin, Ahmed, Hamdi, Ali, Mohammed, Ammar
Format:	Preprint
Published:	2025
Subjects:	Computation and Language
Online Access:	https://arxiv.org/abs/2501.16616
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

MSA at SemEval-2025 Task 3: High Quality Weak Labeling and LLM Ensemble Verification for Multilingual Hallucination Detection
by: Hikal, Baraa, et al.
Published: (2025)

Optimized Quran Passage Retrieval Using an Expanded QA Dataset and Fine-Tuned Language Models
by: Basem, Mohamed, et al.
Published: (2024)

MSA at BEA 2025 Shared Task: Disagreement-Aware Instruction Tuning for Multi-Dimensional Evaluation of LLMs as Math Tutors
by: Hikal, Baraa, et al.
Published: (2025)

Few-Shot Prompting for Extractive Quranic QA with Instruction-Tuned LLMs
by: Basem, Mohamed, et al.
Published: (2025)

LogSigma at SemEval-2026 Task 3: Uncertainty-Weighted Multitask Learning for Dimensional Aspect-Based Sentiment Analysis
by: Hikal, Baraa, et al.
Published: (2026)

Arabic Large Language Models for Medical Text Generation
by: Allam, Abdulrahman, et al.
Published: (2025)

Cross-Language Approach for Quranic QA
by: Oshallah, Islam, et al.
Published: (2025)

NLP-AKG: Few-Shot Construction of NLP Academic Knowledge Graph Based on LLM
by: Lan, Jiayin, et al.
Published: (2025)

An Audit on the Perspectives and Challenges of Hallucinations in NLP
by: Venkit, Pranav Narayanan, et al.
Published: (2024)

Zero-Shot Multi-task Hallucination Detection
by: Bhamidipati, Patanjali, et al.
Published: (2024)

FewTopNER: Integrating Few-Shot Learning with Topic Modeling and Named Entity Recognition in a Multilingual Framework
by: Bouabdallaoui, Ibrahim, et al.
Published: (2025)

Few-Shot Contrastive Adaptation for Audio Abuse Detection in Low-Resource Indic Languages
by: Sankaran, Aditya Narayan, et al.
Published: (2026)

Confidence-Credibility Aware Weighted Ensembles of Small LLMs Outperform Large LLMs in Emotion Detection
by: Elgabry, Menna, et al.
Published: (2025)

Severity-Aware Weighted Loss for Arabic Medical Text Generation
by: Alansary, Ahmed, et al.
Published: (2026)

A Severity-Based Curriculum Learning Strategy for Arabic Medical Text Generation
by: Alansary, Ahmed, et al.
Published: (2026)

WikiChat: Stopping the Hallucination of Large Language Model Chatbots by Few-Shot Grounding on Wikipedia
by: Semnani, Sina J., et al.
Published: (2023)

Class-Incremental Few-Shot Event Detection
by: Zhao, Kailin, et al.
Published: (2024)

SHROOM-INDElab at SemEval-2024 Task 6: Zero- and Few-Shot LLM-Based Classification for Hallucination Detection
by: Allen, Bradley P., et al.
Published: (2024)

Efficient Detection of Intermittent Job Failures Using Few-Shot Learning
by: Aïdasso, Henri, et al.
Published: (2025)

BnTTS: Few-Shot Speaker Adaptation in Low-Resource Setting
by: Basher, Mohammad Jahid Ibna, et al.
Published: (2025)

The role of large language models in UI/UX design: A systematic literature review
by: Ahmed, Ammar, et al.
Published: (2025)

Towards Cross-Lingual Audio Abuse Detection in Low-Resource Settings with Few-Shot Learning
by: Sankaran, Aditya Narayan, et al.
Published: (2024)

Scaling Arabic Medical Chatbots Using Synthetic Data: Enhancing Generative AI with Synthetic Patient Records
by: Allam, Abdulrahman, et al.
Published: (2025)

LLMs Are Few-Shot In-Context Low-Resource Language Learners
by: Cahyawijaya, Samuel, et al.
Published: (2024)

LLM-SEM: A Sentiment-Based Student Engagement Metric Using LLMS for E-Learning Platforms
by: Hamdi, Ali, et al.
Published: (2024)

A Multi-Layered Large Language Model Framework for Disease Prediction
by: Mohamed, Malak, et al.
Published: (2025)

Toxicity-Aware Few-Shot Prompting for Low-Resource Singlish Translation
by: Ge, Ziyu, et al.
Published: (2025)

LEAF: A Robust Expert-Based Framework for Few-Shot Continual Event Detection
by: Dao, Bao-Ngoc, et al.
Published: (2025)

Small LLMs for Medical NLP: a Systematic Analysis of Few-Shot, Constraint Decoding, Fine-Tuning and Continual Pre-Training in Italian
by: Ferrazzi, Pietro, et al.
Published: (2026)

CAMO: A Class-Aware Minority-Optimized Ensemble for Robust Language Model Evaluation on Imbalanced Data
by: Ehab, Mohamed, et al.
Published: (2026)

Unified Large Language Models for Misinformation Detection in Low-Resource Linguistic Settings
by: Islam, Muhammad, et al.
Published: (2025)

PLHF: Prompt Optimization with Few-Shot Human Feedback
by: Yang, Chun-Pai, et al.
Published: (2025)

Retrieval-Augmented Few-Shot Prompting Versus Fine-Tuning for Code Vulnerability Detection
by: Trad, Fouad, et al.
Published: (2025)

Few-Shot Graph Out-of-Distribution Detection with LLMs
by: Xu, Haoyan, et al.
Published: (2025)

NLP-ADBench: NLP Anomaly Detection Benchmark
by: Li, Yuangang, et al.
Published: (2024)

The Semantic Illusion: Certified Limits of Embedding-Based Hallucination Detection in RAG Systems
by: Sinha, Debu
Published: (2025)

Detecting Statements in Text: A Domain-Agnostic Few-Shot Solution
by: Chausson, Sandrine, et al.
Published: (2024)

NagaNLP: Bootstrapping NLP for Low-Resource Nagamese Creole with Human-in-the-Loop Synthetic Data
by: Maiti, Agniva, et al.
Published: (2025)

ReProCon: Scalable and Resource-Efficient Few-Shot Biomedical Named Entity Recognition
by: Yoo, Jeongkyun, et al.
Published: (2025)

Low-Resource Cross-Lingual Summarization through Few-Shot Learning with Large Language Models
by: Park, Gyutae, et al.
Published: (2024)