5 papers
Enhancing Online Recruitment with Category-Aware MoE and LLM-based Data Augmentation
Minping Chen, Bing Xu, Zulong Chen +4
Person-Job Fit (PJF) is a critical component for online recruitment. Existing approaches face several challenges, particularly in handling low-quality job descriptions and similar…
Intelligent Approval of Access Control Flow in Office Automation Systems via Relational Modeling
Dugang Liu, Zulong Chen, Chuanfei Xu +3
Office automation (OA) systems play a crucial role in enterprise operations and management, with access control flow approval (ACFA) being a key component that manages the accessib…
RCLRec: Reverse Curriculum Learning for Modeling Sparse Conversions in Generative Recommendation
Yulei Huang, Hao Deng, Haibo Xing +5
Conversion objectives in large-scale recommender systems are sparse, making them difficult to optimize. Generative recommendation (GR) partially alleviates data sparsity by organiz…
Taxon: Hierarchical Tax Code Prediction with Semantically Aligned LLM Expert Guidance
Jihang Li, Qing Liu, Zulong Chen +4
Tax code prediction is a crucial yet underexplored task in automating invoicing and compliance management for large-scale e-commerce platforms. Each product must be accurately mapp…
Enhancing Talent Search Ranking with Role-Aware Expert Mixtures and LLM-based Fine-Grained Job Descriptions
Jihang Li, Bing Xu, Zulong Chen +5
Talent search is a cornerstone of modern recruitment systems, yet existing approaches often struggle to capture nuanced job-specific preferences, model recruiter behavior at a fine…