3 papers
cs.IR2025
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…
cs.CL2025
Layout-Aware Parsing Meets Efficient LLMs: A Unified, Scalable Framework for Resume Information Extraction and Evaluation
Fanwei Zhu, Jinke Yu, Zulong Chen +6
Automated resume information extraction is critical for scaling talent acquisition, yet its real-world deployment faces three major challenges: the extreme heterogeneity of resume…
cs.IR2025
SEAL: Structure and Element Aware Learning to Improve Long Structured Document Retrieval
Xinhao Huang, Zhibo Ren, Yipeng Yu +3
In long structured document retrieval, existing methods typically fine-tune pre-trained language models (PLMs) using contrastive learning on datasets lacking explicit structural in…