๐ŸŽ“How I Study AIHISA
๐Ÿ“–Read
๐Ÿ“„Papers๐Ÿ“ฐBlogs๐ŸŽฌCourses
๐Ÿ’กLearn
๐Ÿ›ค๏ธPaths๐Ÿ“šTopics๐Ÿ’กConcepts๐ŸŽดShorts
๐ŸŽฏPractice
๐ŸงฉProblems๐ŸŽฏPrompts๐Ÿง Review
Search
How I Study AI - Learn AI Papers & Lectures the Easy Way

Papers2

AllBeginnerIntermediateAdvanced
All SourcesarXiv
#self-evolution

DARC: Decoupled Asymmetric Reasoning Curriculum for LLM Evolution

Intermediate
Shengda Fan, Xuyan Ye et al.Jan 20arXiv

DARC teaches big language models to get smarter by splitting training into two calm, well-organized steps instead of one chaotic loop.

#DARC#self-play#curriculum learning

Dr. Zero: Self-Evolving Search Agents without Training Data

Intermediate
Zhenrui Yue, Kartikeya Upasani et al.Jan 11arXiv

Dr. Zero is a pair of AI agents (a Proposer and a Solver) that teach each other to do web-search-based reasoning without any human-written training data.

#Dr. Zero#self-evolution#proposer-solver