Field-Aware Agent Skill Retrieval

arXiv:2608.02880 · cs.IR, cs.LG · Submitted 2026-08-03 · Read on arXiv

cs.IR, cs.LG

Submitted: 2026-08-03

Updated: 2026-09-01

Terminology

• Benchmark — 4× in this paper · explained in 2 episodes
• Embeddings — 2× in this paper · explained in 2 episodes
• Agent Memory — 1× in this paper · explained in 1 episode
• Agentic AI — 1× in this paper · explained in 1 episode
• Agentic Framework — 1× in this paper · explained in 6 episodes
• Benchmarking — 1× in this paper · explained in 3 episodes
• Cosine Similarity — 1× in this paper · explained in 3 episodes
• Fine-Tuning — 1× in this paper · explained in 5 episodes
• Foundation Model — 1× in this paper · explained in 3 episodes
• Foundation Models — 1× in this paper · explained in 7 episodes

Sources

• SkillRet: A Large-Scale Benchmark for Skill Retrieval in LLM Agents
• MUSE-Autoskill: Self-Evolving Agents via Skill Creation, Memory, Management, and Evaluation
• Retrieval Models Aren't Tool-Savvy: Benchmarking Tool Retrieval for Large Language Models
• Skill Retrieval Augmentation for Agentic AI
• Multi-Field Tool Retrieval
• Voyager: An Open-Ended Embodied Agent with Large Language Models
• AutoSkill: Experience-Driven Lifelong Learning via Skill Self-Evolution
• Qwen3 Embedding: Advancing Text Embedding and Reranking Through Foundation Models

Related papers

• The Price of Isolation: Estimating the Ecosystem Cost of Symmetric Two-Sided A/B Testing
• SCAR: Semantic Continuity-Aware Retrieval for Efficient Context Expansion in RAG
• MixLoRA-DSI: Dynamically Expandable Mixture-of-LoRA Experts for Rehearsal-Free Generative Retrieval over Dynamic Corpora
• RRCM: Ranking-Driven Retrieval over Collaborative and Meta Memories for LLM Recommendation
• Right Family, Wrong Skill: Evaluating Risk Exposure in Agent Skill Retrieval
• UltRAG: a Universal Simple Scalable Recipe for Knowledge Graph RAG