Papers3

All Beginner Intermediate Advanced

All Sources arXiv

#tool synthesis

Position: Agentic Evolution is the Path to Evolving LLMs

Intermediate

Minhua Lin, Hanqing Lu et al.Jan 30arXiv

Big AI models do great in the lab but stumble in the real world because the world keeps changing.

#agentic evolution#A-Evolve#deployment-time adaptation

Not triaged yet

Youtu-Agent: Scaling Agent Productivity with Automated Generation and Hybrid Policy Optimization

Intermediate

Yuchen Shi, Yuzheng Cai et al.Dec 31arXiv

Youtu-Agent is a build-and-grow factory for AI agents that cuts manual setup and keeps agents improving over time.

#LLM agents#automated agent generation#modular architecture

Not triaged yet

MemEvolve: Meta-Evolution of Agent Memory Systems

Beginner

Guibin Zhang, Haotian Ren et al.Dec 21arXiv

MemEvolve teaches AI agents not only to remember past experiences but also to improve the way they remember, like a student who upgrades their study habits over time.

#LLM agents#agent memory#meta-evolution

Not triaged yet