SKILL-KD: Contrastive Skill Distillation for LLM Agents
cs.AI
Submitted: 2026-07-30
Updated: 2026-10-13
Terminology
Sources
- EvoSkill: Automated Skill Discovery for Multi-Agent Systems
- SkillRet: A Large-Scale Benchmark for Skill Retrieval in LLM Agents
- SearchQA: A New Q&A Dataset Augmented with Context from a Search Engine
- SkillReducer: Optimizing LLM Agent Skills for Token Efficiency
- LiveMathematicianBench: A Live Benchmark for Research-Level Mathematical Reasoning with Proof Sketches
- Graph-of-Skills: Dependency-Aware Structural Retrieval for Massive Agent Skills
- SkillsVote: Lifecycle Governance of Agent Skills from Collection, Recommendation to Evolution
- SkillGen: Verified Inference-Time Agent Skill Synthesis
- Trace2Skill: Distill Trajectory-Local Lessons into Transferable Agent Skills
- AgentDistill: Training-Free Agent Distillation with Generalizable MCP Boxes
- SkillX: Automatically Constructing Skill Knowledge Bases for Agents
- SkillGrad: Optimizing Agent Skills Like Gradient Descent
- Skill-SD: Skill-Conditioned Self-Distillation for Multi-turn LLM Agents
- WebXSkill: Skill Learning for Autonomous Web Agents
- SkillRL: Evolving Agents via Recursive Skill-Augmented Reinforcement Learning
- Self-Distilled RLVR
- OPID: On-Policy Skill Distillation for Agentic Reinforcement Learning
- SkillOpt: Executive Strategy for Self-Evolving Agent Skills
- TextGrad: Automatic "Differentiation" via Text
- SkillWeaver: Web Agents can Self-Improve by Discovering and Honing Skills
Related papers
- MAVEN-T: Reinforced Heterogeneous Distillation for Real-Time Multi-Agent Trajectory Prediction
- Model Discovery Agent: LLM-assisted Bayesian experiment design for data-efficient discovery of mechanistic world models
- Agents' Last Exam
- The Clinician's Veto: Navigating Trust, Liability, and Uncertainty in Autonomous AI Prescribing
- MindHelper: Closed-Loop Embodied Mental-State Reasoning for Precision Intervention
- Incumbent Advantage: Brand Bias and Cognitive Manipulation Dynamics in LLM Recommendation Systems