Image de couverture de livre

Job-SDF: A Multi-Granularity Dataset for Job Skill Demand Forecasting and Benchmarking

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Chen, Xi, Qin, Chuan, Fang, Chuyu, Wang, Chao, Zhu, Chen, Zhuang, Fuzhen, Zhu, Hengshu, Xiong, Hui
Format:	Preprint
Publié:	2024
Sujets:	Machine Learning Artificial Intelligence
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Enhancing Question Answering for Enterprise Knowledge Bases using Large Language Models
par: Jiang, Feihu, et autres
Publié: (2024)

Towards Efficient Resume Understanding: A Multi-Granularity Multi-Modal Pre-Training Approach
par: Jiang, Feihu, et autres
Publié: (2024)

Adapting Job Recommendations to User Preference Drift with Behavioral-Semantic Fusion Learning
par: Han, Xiao, et autres
Publié: (2024)

JobFormer: Skill-Aware Job Recommendation with Semantic-Enhanced Transformer
par: Guan, Zhihao, et autres
Publié: (2024)

DISCO: A Hierarchical Disentangled Cognitive Diagnosis Framework for Interpretable Job Recommendation
par: Yu, Xiaoshan, et autres
Publié: (2024)

A Cross-View Hierarchical Graph Learning Hypernetwork for Skill Demand-Supply Joint Prediction
par: Chao, Wenshuo, et autres
Publié: (2024)

A Comprehensive Survey on Self-Interpretable Neural Networks
par: Ji, Yang, et autres
Publié: (2025)

SciHorizon-DataEVA: An Agentic System for AI-Readiness Evaluation of Heterogeneous Scientific Data
par: Liu, Dianyu, et autres
Publié: (2026)

Starjob: Dataset for LLM-Driven Job Shop Scheduling
par: Abgaryan, Henrik, et autres
Publié: (2025)

MobilityBench: A Benchmark for Evaluating Route-Planning Agents in Real-World Mobility Scenarios
par: Song, Zhiheng, et autres
Publié: (2026)

Fairness-Aware Job Scheduling for Multi-Job Federated Learning
par: Shi, Yuxin, et autres
Publié: (2024)

Labor Migration Modeling through Large-scale Job Query Data
par: Guo, Zhuoning, et autres
Publié: (2024)

STMGF: An Effective Spatial-Temporal Multi-Granularity Framework for Traffic Forecasting
par: Zhao, Zhengyang, et autres
Publié: (2024)

A Comprehensive Survey of Artificial Intelligence Techniques for Talent Analytics
par: Qin, Chuan, et autres
Publié: (2023)

Job Shop Scheduling Benchmark: Environments and Instances for Learning and Non-learning Methods
par: Reijnen, Robbert, et autres
Publié: (2023)

Forecasting Labor Demand: Predicting JOLT Job Openings using Deep Learning Model
par: Kim, Kyungsu
Publié: (2025)

FairJob: A Real-World Dataset for Fairness in Online Systems
par: Vladimirova, Mariia, et autres
Publié: (2024)

GMP-AR: Granularity Message Passing and Adaptive Reconciliation for Temporal Hierarchy Forecasting
par: Zhou, Fan, et autres
Publié: (2024)

Self-Evaluation for Job-Shop Scheduling
par: Echeverria, Imanol, et autres
Publié: (2025)

Variational Approach for Job Shop Scheduling
par: Oh, Seung Heon, et autres
Publié: (2026)

Enhancing Job Salary Prediction with Disentangled Composition Effect Modeling: A Neural Prototyping Approach
par: Ji, Yang, et autres
Publié: (2025)

Graph Neural Networks for Job Shop Scheduling Problems: A Survey
par: Smit, Igor G., et autres
Publié: (2024)

Swarm Intelligence in Geo-Localization: A Multi-Agent Large Vision-Language Model Collaborative Framework
par: Han, Xiao, et autres
Publié: (2024)

Skillful Subseasonal-to-Seasonal Forecasting of Extreme Events with a Multi-Sphere Coupled Probabilistic Model
par: Mu, Bin, et autres
Publié: (2025)

Learning to Solve Job Shop Scheduling under Uncertainty
par: Infantes, Guillaume, et autres
Publié: (2024)

Multi-level Value Alignment in Agentic AI Systems: Survey and Perspectives
par: Zeng, Wei, et autres
Publié: (2025)

SkillLens: Adaptive Multi-Granularity Skill Reuse for Cost-Efficient LLM Agents
par: Miao, Yongliang, et autres
Publié: (2026)

On the Limitations of Rank-One Model Editing in Answering Multi-hop Questions
par: He, Zhiyuan, et autres
Publié: (2026)

TAT: Temporal-Aligned Transformer for Multi-Horizon Peak Demand Forecasting
par: Zhao, Zhiyuan, et autres
Publié: (2025)

Offline Reinforcement Learning for Learning to Dispatch for Job Shop Scheduling
par: van Remmerden, Jesse, et autres
Publié: (2024)

Learning on the Job: Test-Time Curricula for Targeted Reinforcement Learning
par: Hübotter, Jonas, et autres
Publié: (2025)

ReSkill: Reconciling Skill Creation with Policy Optimization in Agentic RL
par: He, Zelin, et autres
Publié: (2026)

Efficient Subseasonal Weather Forecast using Teleconnection-informed Transformers
par: Zhao, Shan, et autres
Publié: (2024)

A Survey on Large Language Models for Recommendation
par: Wu, Likang, et autres
Publié: (2023)

Real-E: A Foundation Benchmark for Advancing Robust and Generalizable Electricity Forecasting
par: Shao, Chen, et autres
Publié: (2025)

ReLA: Representation Learning and Aggregation for Job Scheduling with Reinforcement Learning
par: Kwan, Zhengyi, et autres
Publié: (2026)

Learning Memory-Enhanced Improvement Heuristics for Flexible Job Shop Scheduling
par: Wang, Jiaqi, et autres
Publié: (2026)

Deep Reinforcement Learning Guided Improvement Heuristic for Job Shop Scheduling
par: Zhang, Cong, et autres
Publié: (2022)

Graph Dimension Attention Networks for Enterprise Credit Assessment
par: Wei, Shaopeng, et autres
Publié: (2024)

Learning Adaptive Distribution Alignment with Neural Characteristic Function for Graph Domain Adaptation
par: Chen, Wei, et autres
Publié: (2026)