Llm-based edge intelligence: A comprehensive survey on architectures, applications, security and trustworthiness
The integration of Large Language Models (LLMs) and Edge Intelligence (EI) introduces a
groundbreaking paradigm for intelligent edge devices. With their capacity for human-like …
groundbreaking paradigm for intelligent edge devices. With their capacity for human-like …
Maximizing User Experience with LLMOps-Driven Personalized Recommendation Systems
The integration of LLMOps into personalized recommendation systems marks a significant
advancement in managing LLM-driven applications. This innovation presents both …
advancement in managing LLM-driven applications. This innovation presents both …
A Decoding Acceleration Framework for Industrial Deployable LLM-based Recommender Systems
Recently, increasing attention has been paid to LLM-based recommender systems, but their
deployment is still under exploration in the industry. Most deployments utilize LLMs as …
deployment is still under exploration in the industry. Most deployments utilize LLMs as …
A multi-llm debiasing framework
DM Owens, RA Rossi, S Kim, T Yu… - arXiv preprint arXiv …, 2024 - arxiv.org
Large Language Models (LLMs) are powerful tools with the potential to benefit society
immensely, yet, they have demonstrated biases that perpetuate societal inequalities …
immensely, yet, they have demonstrated biases that perpetuate societal inequalities …
Exploring Large Language Models for Product Attribute Value Identification
Product attribute value identification (PAVI) involves automatically identifying attributes and
their values from product information, enabling features like product search …
their values from product information, enabling features like product search …
LLMExplainer: Large Language Model based Bayesian Inference for Graph Explanation Generation
Recent studies seek to provide Graph Neural Network (GNN) interpretability via multiple
unsupervised learning models. Due to the scarcity of datasets, current methods easily suffer …
unsupervised learning models. Due to the scarcity of datasets, current methods easily suffer …
Relation labeling in product knowledge graphs with large language models for e-commerce
Abstract Product Knowledge Graphs (PKGs) play a crucial role in enhancing e-commerce
system performance by providing structured information about entities and their …
system performance by providing structured information about entities and their …
Triple Modality Fusion: Aligning Visual, Textual, and Graph Data with Large Language Models for Multi-Behavior Recommendations
Integrating diverse data modalities is crucial for enhancing the performance of personalized
recommendation systems. Traditional models, which often rely on singular data sources …
recommendation systems. Traditional models, which often rely on singular data sources …
Bayesian Calibration of Win Rate Estimation with LLM Evaluators
Y Gao, G Xu, Z Wang, A Cohan - arXiv preprint arXiv:2411.04424, 2024 - arxiv.org
Recent advances in large language models (LLMs) show the potential of using LLMs as
evaluators for assessing the quality of text generations from LLMs. However, applying LLM …
evaluators for assessing the quality of text generations from LLMs. However, applying LLM …
Entity Extraction from High-Level Corruption Schemes via Large Language Models
P Koletsis, PK Gemos, C Chronis, I Varlamis… - arXiv preprint arXiv …, 2024 - arxiv.org
The rise of financial crime that has been observed in recent years has created an increasing
concern around the topic and many people, organizations and governments are more and …
concern around the topic and many people, organizations and governments are more and …