:: Library Catalog

Image de couverture de livre

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Mouiche, Inoussa, Saad, Sherif
Format:	Preprint
Publié:	2026
Sujets:	Machine Learning
Accès en ligne:	https://arxiv.org/abs/2605.02041
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Context-aware Entity-Relation Extraction for Threat Intelligence Knowledge Graphs
par: Mouiche, Inoussa, et autres
Publié: (2026)

Gradient-Gated DPO: Stabilizing Preference Optimization in Language Models
par: Mouiche, Inoussa
Publié: (2026)

Benchmarking Deep Neural Networks for Modern Recommendation Systems
par: Bahi, Abderaouf, et autres
Publié: (2025)

CTINexus: Automatic Cyber Threat Intelligence Knowledge Graph Construction Using Large Language Models
par: Cheng, Yutong, et autres
Publié: (2024)

Temporal Graph Memory Networks For Knowledge Tracing
par: Gad, Seif, et autres
Publié: (2024)

Large Language Models Are Unreliable for Cyber Threat Intelligence
par: Mezzi, Emanuele, et autres
Publié: (2025)

Agentic AI-Based Joint Computing and Networking via Mixture of Experts and Large Language Models
par: Reifert, Robert-Jeron, et autres
Publié: (2026)

From Electrochemical Energy Storage to Next-Generation Intelligent Battery Technologies for Electric Vehicles: A Survey
par: Bahi, Abderaouf, et autres
Publié: (2025)

HyperArm Bandit Optimization: A Novel approach to Hyperparameter Optimization and an Analysis of Bandit Algorithms in Stochastic and Adversarial Settings
par: Karroum, Samih, et autres
Publié: (2025)

Minerva: Reinforcement Learning with Verifiable Rewards for Cyber Threat Intelligence LLMs
par: Alam, Md Tanvirul, et autres
Publié: (2026)

Graph-Based Neural Models for Transonic Aerodynamics: AeroFormer & MeshGAT Architectures
par: Hussain, Saad
Publié: (2025)

LLM-Based Routing in Mixture of Experts: A Novel Framework for Trading
par: Liu, Kuan-Ming, et autres
Publié: (2025)

Distributed Threat Intelligence at the Edge Devices: A Large Language Model-Driven Approach
par: Hasan, Syed Mhamudul, et autres
Publié: (2024)

User-Based Sequential Modeling with Transformer Encoders for Insider Threat Detection
par: Elbasheer, Mohamed, et autres
Publié: (2025)

Improving Network Threat Detection by Knowledge Graph, Large Language Model, and Imbalanced Learning
par: Zhang, Lili, et autres
Publié: (2025)

BadPromptFL: A Novel Backdoor Threat to Prompt-based Federated Learning in Multimodal Models
par: Zhang, Maozhen, et autres
Publié: (2025)

Large-Scale Model Enabled Semantic Communication Based on Robust Knowledge Distillation
par: Ding, Kuiyuan, et autres
Publié: (2025)

Advancing Autonomous Incident Response: Leveraging LLMs and Cyber Threat Intelligence
par: Tellache, Amine, et autres
Publié: (2025)

UniRL-Zero: Reinforcement Learning on Unified Models with Joint Language Model and Diffusion Model Experts
par: Wang, Fu-Yun, et autres
Publié: (2025)

Every Expert Matters: Towards Effective Knowledge Distillation for Mixture-of-Experts Language Models
par: Kim, Gyeongman, et autres
Publié: (2025)

Joint Extraction and Classification of Danish Competences for Job Matching
par: Li, Qiuchi, et autres
Publié: (2024)

Diversifying the Expert Knowledge for Task-Agnostic Pruning in Sparse Mixture-of-Experts
par: Zhang, Zeliang, et autres
Publié: (2024)

Graph Knowledge Distillation to Mixture of Experts
par: Rumiantsev, Pavel, et autres
Publié: (2024)

Web Scale Graph Mining for Cyber Threat Intelligence
par: Freitas, Scott, et autres
Publié: (2024)

Reliable LLM-Based Edge-Cloud-Expert Cascades for Telecom Knowledge Systems
par: Hou, Qiushuo, et autres
Publié: (2025)

Mixture of Length and Pruning Experts for Knowledge Graphs Reasoning
par: Du, Enjun, et autres
Publié: (2025)

Evaluating the Usability of LLMs in Threat Intelligence Enrichment
par: Srikanth, Sanchana, et autres
Publié: (2024)

Understanding Finetuning for Factual Knowledge Extraction
par: Ghosal, Gaurav, et autres
Publié: (2024)

CMGAN: Conformer-Based Metric-GAN for Monaural Speech Enhancement
par: Abdulatif, Sherif, et autres
Publié: (2022)

The Unseen Threat: Residual Knowledge in Machine Unlearning under Perturbed Samples
par: Hsu, Hsiang, et autres
Publié: (2026)

Many AI Analysts, One Dataset: Navigating the Agentic Data Science Multiverse
par: Bertran, Martin, et autres
Publié: (2026)

Living off the Analyst: Harvesting Features from Yara Rules for Malware Detection
par: Gupta, Siddhant, et autres
Publié: (2024)

Towards Reliable Latent Knowledge Estimation in LLMs: Zero-Prompt Many-Shot Based Factual Knowledge Extraction
par: Wu, Qinyuan, et autres
Publié: (2024)

A Review on Scientific Knowledge Extraction using Large Language Models in Biomedical Sciences
par: Garcia, Gabriel Lino, et autres
Publié: (2024)

GPT-3 Powered Information Extraction for Building Robust Knowledge Bases
par: Choudhury, Ritabrata Roy, et autres
Publié: (2024)

PRIME: Physics-Related Intelligent Mixture of Experts for Transistor Characteristics Prediction
par: Dou, Zhenxing, et autres
Publié: (2025)

Probing the Knowledge Boundary: An Interactive Agentic Framework for Deep Knowledge Extraction
par: Yang, Yuheng, et autres
Publié: (2026)

Knowledge Distillation Under Ideal Joint Classifier Assumption
par: Li, Huayu, et autres
Publié: (2023)

Neurosymbolic Learning for Advanced Persistent Threat Detection under Extreme Class Imbalance
par: Fathima, Quhura, et autres
Publié: (2026)

Distantly-Supervised Joint Extraction with Noise-Robust Learning
par: Li, Yufei, et autres
Publié: (2023)