Copertina

Leveraging Large Language Models for Risk Assessment in Hyperconnected Logistic Hub Network Deployment

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Quan, Yinzhu, Xu, Yujia, Chen, Guanlin, Benaben, Frederick, Montreuil, Benoit
Natura:	Preprint
Pubblicazione:	2025
Soggetti:	Computation and Language
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Dynamic Workforce Scheduling and Relocation in Hyperconnected Parcel Logistic Hubs
di: Xu, Yujia, et al.
Pubblicazione: (2024)

Logistics Hub Capacity Deployment in Hyperconnected Transportation Network Under Uncertainty
di: Liu, Xiaoyue, et al.
Pubblicazione: (2024)

Enhanced Parcel Arrival Forecasting for Logistic Hubs: An Ensemble Deep Learning Approach
di: Pan, Xinyue, et al.
Pubblicazione: (2026)

Dynamic Containerized Modular Capacity Planning and Resource Allocation in Hyperconnected Supply Chain Ecosystems
di: Liu, Xiaoyue, et al.
Pubblicazione: (2025)

Dynamic Less-Than-Truckload Transportation Planning in Hyperconnected Hub Networks with Multi-Carrier Operations
di: Zhang, Tiankuo, et al.
Pubblicazione: (2025)

InvAgent: A Large Language Model based Multi-Agent System for Inventory Management in Supply Chains
di: Quan, Yinzhu, et al.
Pubblicazione: (2024)

EconLogicQA: A Question-Answering Benchmark for Evaluating Large Language Models in Economic Sequential Reasoning
di: Quan, Yinzhu, et al.
Pubblicazione: (2024)

TPP-LLM: Modeling Temporal Point Processes by Efficiently Fine-Tuning Large Language Models
di: Liu, Zefang, et al.
Pubblicazione: (2024)

Dynamic Pricing System for Physical Internet Enabled Hyperconnected Less-than-Truckload Freight Logistics Networks
di: Zhang, Tiankuo, et al.
Pubblicazione: (2025)

Modular and Mobile Capacity Planning for Hyperconnected Supply Chain Networks
di: Liu, Xiaoyue, et al.
Pubblicazione: (2026)

Temporal Tokenization Strategies for Event Sequence Modeling with Large Language Models
di: Liu, Zefang, et al.
Pubblicazione: (2025)

EconWebArena: Benchmarking Autonomous Agents on Economic Tasks in Realistic Web Environments
di: Liu, Zefang, et al.
Pubblicazione: (2025)

Retrieval of Temporal Event Sequences from Textual Descriptions
di: Liu, Zefang, et al.
Pubblicazione: (2024)

CRMAgent: A Multi-Agent LLM System for E-Commerce CRM Message Template Generation
di: Quan, Yinzhu, et al.
Pubblicazione: (2025)

Hidden Entity Detection from GitHub Leveraging Large Language Models
di: Gan, Lu, et al.
Pubblicazione: (2025)

Stochastic Service Network Design with Different Operational Patterns for Hyperconnected Relay Transportation
di: Li, Jingze, et al.
Pubblicazione: (2024)

Benchmarking Political Persuasion Risks Across Frontier Large Language Models
di: Chen, Zhongren, et al.
Pubblicazione: (2026)

Multi-Period Stochastic Logistic Hub Capacity Planning for Relay Transportation
di: Liu, Xiaoyue, et al.
Pubblicazione: (2024)

Comparison of Large Language Models for Deployment Requirements
di: Yaman, Alper, et al.
Pubblicazione: (2025)

Leveraging Large Language Models for NLG Evaluation: Advances and Challenges
di: Li, Zhen, et al.
Pubblicazione: (2024)

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

Automating PTSD Diagnostics in Clinical Interviews: Leveraging Large Language Models for Trauma Assessments
di: Tu, Sichang, et al.
Pubblicazione: (2024)

PromptBridge: Cross-Model Prompt Transfer for Large Language Models
di: Wang, Yaxuan, et al.
Pubblicazione: (2025)

Are Large Language Models Economically Viable for Industry Deployment?
di: Mohammad, Abdullah, et al.
Pubblicazione: (2026)

Risk Taxonomy, Mitigation, and Assessment Benchmarks of Large Language Model Systems
di: Cui, Tianyu, et al.
Pubblicazione: (2024)

A Framework to Assess the Persuasion Risks Large Language Model Chatbots Pose to Democratic Societies
di: Chen, Zhongren, et al.
Pubblicazione: (2025)

RETROcode: Leveraging a Code Database for Improved Natural Language to Code Generation
di: Beau, Nathanaël, et al.
Pubblicazione: (2025)

Secure On-Premise Deployment of Open-Weights Large Language Models in Radiology: An Isolation-First Architecture with Prospective Pilot Evaluation
di: Nowak, Sebastian, et al.
Pubblicazione: (2026)

Evaluating Proactive Risk Awareness of Large Language Models
di: Luo, Xuan, et al.
Pubblicazione: (2026)

Efficient Deployment of Large Language Models on Resource-constrained Devices
di: Yao, Zhiwei, et al.
Pubblicazione: (2025)

Prompt Risk Control: A Rigorous Framework for Responsible Deployment of Large Language Models
di: Zollo, Thomas P., et al.
Pubblicazione: (2023)

Benchmarking Large Language Models on Controllable Generation under Diversified Instructions
di: Chen, Yihan, et al.
Pubblicazione: (2024)

Leveraging Large Language Models for Cost-Effective, Multilingual Depression Detection and Severity Assessment
di: Xian, Longdi, et al.
Pubblicazione: (2025)

LSAQ: Layer-Specific Adaptive Quantization for Large Language Model Deployment
di: Zeng, Binrui, et al.
Pubblicazione: (2024)

Cool-Fusion: Fuse Large Language Models without Training
di: Liu, Cong, et al.
Pubblicazione: (2024)

Lookahead Routing for Large Language Models
di: Huang, Canbin, et al.
Pubblicazione: (2025)

CCNU at SemEval-2025 Task 3: Leveraging Internal and External Knowledge of Large Language Models for Multilingual Hallucination Annotation
di: Liu, Xu, et al.
Pubblicazione: (2025)

Large Language Model-based Human-Agent Collaboration for Complex Task Solving
di: Feng, Xueyang, et al.
Pubblicazione: (2024)

IPL: Leveraging Multimodal Large Language Models for Intelligent Product Listing
di: Chen, Kang, et al.
Pubblicazione: (2024)

Uncovering Safety Risks of Large Language Models through Concept Activation Vector
di: Xu, Zhihao, et al.
Pubblicazione: (2024)