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How I Study AI - Learn AI Papers & Lectures the Easy Way

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All SourcesarXiv
#deep research

AgentCPM-Report: Interleaving Drafting and Deepening for Open-Ended Deep Research

Intermediate
Yishan Li, Wentong Chen et al.Feb 6arXiv

This paper teaches small, local AI models to write deep, insightful research reports by letting writing and planning work together instead of staying separate.

#AgentCPM-Report#WARP#Writing As Reasoning Policy

FS-Researcher: Test-Time Scaling for Long-Horizon Research Tasks with File-System-Based Agents

Intermediate
Chiwei Zhu, Benfeng Xu et al.Feb 2arXiv

FS-Researcher is a two-agent system that lets AI do very long research by saving everything in a computer folder so it never runs out of memory.

#FS-Researcher#file-system agents#external memory

Youtu-LLM: Unlocking the Native Agentic Potential for Lightweight Large Language Models

Intermediate
Junru Lu, Jiarui Qin et al.Dec 31arXiv

Youtu-LLM is a small (1.96B) language model that was trained from scratch to think, plan, and act like an agent instead of just copying bigger models.

#lightweight LLM#agentic mid-training#trajectory data

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