arXiv AI
Aug 5
SkillTrace: Traversing a Query-Skill Graph for Composable LLM Agents
arXiv:2608. 02356v2 Announce Type: replace Abstract: Large language model agents increasingly solve complex tasks by composing reusable skills from a library.
JobMatchAI-An Intelligent Job Matching Platform Using Knowledge Graphs, Semantic Search and Explainable AI
arXiv:2603. 14558v3 Announce Type: replace Abstract: Recruiters and job seekers rely on search systems to navigate labor markets, making candidate matching engines critical for hiring outcomes.
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arXiv Machine Learning
Jun 2
Hierarchical Long-Term Semantic Memory for LinkedIn's Hiring Agent
arXiv:2604. 26197v3 Announce Type: replace-cross Abstract: Large Language Model (LLM) agents are increasingly used in real-world products, where personalized and context-aware user interactions are essential.
arXiv Machine Learning
Jun 9
A Unified Structured Query Understanding Framework for Industrial Semantic Search
arXiv:2605. 27441v2 Announce Type: replace-cross Abstract: Query understanding in large-scale industrial search systems is typically implemented as a cascade of disparate, task-specific components.
arXiv AI
Jul 29
Unified Semantic Modeling Framework for Large-Scale Job Understanding at LinkedIn
arXiv:2607. 24783v1 Announce Type: new Abstract: Job understanding is critical to LinkedIn's mission of connecting talent with opportunity.
arXiv AI
Jul 22
SkillSight: Seeing Through Shared Descriptions for Accurate Skill Retrieval
arXiv:2607. 18785v1 Announce Type: new Abstract: As large language model agents gain access to increasingly large skill libraries, retrieving the right skill becomes critical to reliable capability selection and execution.
arXiv AI
Jul 28
PeopleSearchBench: A Multi-Dimensional Benchmark for Evaluating AI-Powered People Search Platforms
arXiv:2603. 27476v2 Announce Type: replace Abstract: AI-powered people search platforms are increasingly used in recruiting, sales prospecting, and professional networking, yet no widely accepted benchmark exists for evaluating their performance.
arXiv AI
Jun 2
NBQ: Next-Best-Question for Dynamic Profiling
arXiv:2606. 00809v1 Announce Type: new Abstract: Many real-world conversational settings for knowledge discovery, including podcasts, hiring screens, and marketplaces, require a purpose-driven understanding of a person.
arXiv AI
Jul 8
Task Decomposition-Guided Reranking for Adaptive Agent Skill Retrieval
arXiv:2607. 06283v1 Announce Type: new Abstract: Skill usage can significantly enhance the ability of modern agent systems to complete complex tasks.
arXiv AI
Aug 10
An Agentic Hybrid Top-Down and Bottom-Up Approach to Knowledge Graph Generation
arXiv:2608. 07023v1 Announce Type: cross Abstract: Organizing thousands of unstandardized, multilingual expertise declarations is a persistent challenge for Human Resources (HR) platforms, directly impacting downstream tasks like accurate talent matching.
arXiv AI
Aug 7
Comparative Approaches to Agent Retrieval over Large Skill Libraries
arXiv:2608. 06196v1 Announce Type: new Abstract: Agents backed by large skill libraries must decide which skills to load and in what order.
arXiv AI
Jul 31
SkillSight: Calibrating Generic Content Bias for Skill Retrieval
arXiv:2607. 18785v2 Announce Type: replace Abstract: As large language model agents gain access to increasingly large skill libraries, retrieving the right skill becomes critical to reliable capability selection and execution.
arXiv AI
Jun 2
SkillPager: Query-Adaptive Intra-Skill Navigation via Semantic Node Retrieval
arXiv:2606. 00822v1 Announce Type: cross Abstract: Skill-based LLM agents increasingly rely on long procedural documents, but full-document prompting wastes tokens and dilutes information critical to execution.