Papers

Filtered to procedural knowledge · clear filter

Browse by term

continual learning 86reinforcement learning 48benchmarking 13large language models 12benchmarks 11vision-language models 10language models 9robotics 7world models 7natural language processing 6recursive self-improvement 6generative models 5on-policy distillation 5video generation 5attention mechanisms 4coding agents 4LLMs 4multi-agent systems 4multimodal learning 4multimodal models 4self-distillation 4self-supervised learning 4transformers 4vision-language-action models 4world modeling 4agent-based systems 3agentic models 3agentic search 3agents 3autonomous systems 3

Matching papers

Grounded Skill Synthesis from Code at Scale for Agentic Intelligence

86 upvotes · 4 SEP 2026 · Yongqi Tong, Pan Wang, Hang Wang et al.

This paper develops a method to extract reusable skills from code, which can be used to improve the intelligence of agents. Practitioners might care because this could help create more capable agents that can learn from code and improve their performance on various tasks.