SEEK: Skill-Routed Evaluation with Evolvable Knowledge for Industrial Search
cs.IR, cs.AI
Submitted: 2026-09-24
Updated: 2026-09-24
Terminology
Sources
- Skill-RM: Unifying Heterogeneous Evaluation Criteria via Agent Skill
- DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning
- Skill Self-Play: Pushing the Frontier of LLM Capability with Co-Evolving Skills
- Relevance Isn't All You Need: Scaling RAG Systems With Inference-Time Compute Via Multi-Criteria Reranking
- LLMs-as-Judges: A Comprehensive Survey on LLM-based Evaluation Methods
- SkillRevise: Improving LLM-Authored Agent Skills via Trace-Conditioned Skill Revision
- LORE: A Large Generative Model for Search Relevance
- SkillGen: Verified Inference-Time Agent Skill Synthesis
- LLMJudge: LLMs for Relevance Judgments
- DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models
- Gemma 3 Technical Report
- UMBRELA: UMbrela is the (Open-Source Reproduction of the) Bing RELevance Assessor
- As It Was: Aligning LLM Search Evaluation with Historical User Preferences
- SkillX: Automatically Constructing Skill Knowledge Bases for Agents
- LLM-based Relevance Assessment for Web-Scale Search Evaluation at Pinterest
- Qwen3 Technical Report
- TaoSR-AGRL: Adaptive Guided Reinforcement Learning Framework for E-commerce Search Relevance
- SkillOpt: Executive Strategy for Self-Evolving Agent Skills
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