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

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All SourcesarXiv
#Knowledge Graph

InternAgent-1.5: A Unified Agentic Framework for Long-Horizon Autonomous Scientific Discovery

Intermediate
Shiyang Feng, Runmin Ma et al.Feb 9arXiv

InternAgent-1.5 is a single AI system that can read papers, plan experiments, run code or lab steps, check results, and keep improving over time.

#AI for Science#Autonomous Scientific Discovery#Agentic AI

WideSeek: Advancing Wide Research via Multi-Agent Scaling

Beginner
Ziyang Huang, Haolin Ren et al.Feb 2arXiv

The paper tackles a new kind of search called Wide Research, where an AI must gather lots of related facts under complex rules and put them into a clean table.

#Wide Research#General Broad Information Seeking#Knowledge Graph

Breaking the Static Graph: Context-Aware Traversal for Robust Retrieval-Augmented Generation

Intermediate
Kwun Hang Lau, Fangyuan Zhang et al.Feb 2arXiv

CatRAG is a new way for AI to find the right facts by letting the knowledge graph change its paths based on each question.

#Retrieval-Augmented Generation#Knowledge Graph#Personalized PageRank