Which Skill to Distill? SGUID: Selecting a Compact Skill Bank for Model-Skill Co-Evolution

arXiv:2610.12367 · cs.CL · Submitted 2026-10-08 · Read on arXiv

cs.CL

Submitted: 2026-10-08

Updated: 2026-10-08

Terminology

• Distillation — 40× in this paper · explained in 2 episodes
• Self-distillation — 12× in this paper · explained in 6 episodes
• Verifier — 11× in this paper · explained in 2 episodes
• GRPO — 8× in this paper · explained in 6 episodes
• Benchmark — 7× in this paper · explained in 2 episodes
• On-Policy Self-Distillation — 7× in this paper
• Reinforcement Learning — 5× in this paper · explained in 4 episodes
• Ablation — 4× in this paper · explained in 1 episode
• Agent Skills — 4× in this paper · explained in 1 episode
• On-Policy Distillation — 3× in this paper · explained in 3 episodes
• Thinking mode — 3× in this paper · explained in 2 episodes
• Active Learning — 2× in this paper · explained in 6 episodes
• Agentic Task — 2× in this paper · explained in 1 episode
• Agentic Tasks — 2× in this paper · explained in 1 episode
• Benchmarking — 2× in this paper · explained in 3 episodes
• AI Agents — 1× in this paper · explained in 2 episodes
• Ablation Studies — 1× in this paper · explained in 1 episode
• Accuracy — 1× in this paper · explained in 1 episode
• Adam — 1× in this paper · explained in 2 episodes
• Adaptation — 1× in this paper · explained in 1 episode
• Consistency — 1× in this paper · explained in 3 episodes
• Continual Learning — 1× in this paper · explained in 2 episodes
• Cosine Similarity — 1× in this paper · explained in 3 episodes
• Downstream Tasks — 1× in this paper · explained in 2 episodes
• Generative AI — 1× in this paper · explained in 2 episodes
• Multi-Agent System — 1× in this paper · explained in 6 episodes
• On-policy Self-Distillation (OPSD) — 1× in this paper · explained in 2 episodes
• Procedural Knowledge — 1× in this paper · explained in 2 episodes
• Robustness — 1× in this paper · explained in 5 episodes
• Verification — 1× in this paper · explained in 2 episodes

Sources

• EvoSkill: Automated Skill Discovery for Multi-Agent Systems
• $\tau^2$-Bench: Evaluating Conversational Agents in a Dual-Control Environment
• Beyond Benchmarks: MathArena as an Evaluation Platform for Mathematics with LLMs
• Metacognitive Reuse: Turning Recurring LLM Reasoning Into Concise Behaviors
• daVinci-kernel: Co-Evolving Skill Selection, Summarization, and Utilization via RL for GPU Kernel Optimization
• Mathematical exploration and discovery at scale
• SWE-Skills-Bench: Do Agent Skills Actually Help in Real-World Software Engineering?
• LoRA: Low-Rank Adaptation of Large Language Models
• Skill-Conditioned Gated Self-Distillation for LLM Reasoning
• Skill Self-Play: Pushing the Frontier of LLM Capability with Co-Evolving Skills
• Reinforcement Learning via Self-Distillation
• Tmax: A simple recipe for terminal agents
• XSkill: Continual Learning from Experience and Skills in Multimodal Agents
• SkillFlow: Scalable and Efficient Agent Skill Retrieval System
• SkillsBench: Benchmarking How Well Agent Skills Work Across Diverse Tasks
• DeepSeek-V3 Technical Report
• Trace2Skill: Distill Trajectory-Local Lessons into Transferable Agent Skills
• Humanity's Last Exam
• Future of Work with AI Agents: Auditing Automation and Augmentation Potential across the U.S. Workforce
• DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models

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