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

Papers4

AllBeginnerIntermediateAdvanced
All SourcesarXiv
#rejection sampling

Search-R2: Enhancing Search-Integrated Reasoning via Actor-Refiner Collaboration

Intermediate
Bowei He, Minda Hu et al.Feb 3arXiv

This paper teaches AI to look things up on the web and fix its own mistakes mid-thought instead of starting over from scratch.

#search-integrated reasoning#reinforcement learning#credit assignment

daVinci-Agency: Unlocking Long-Horizon Agency Data-Efficiently

Intermediate
Mohan Jiang, Dayuan Fu et al.Feb 2arXiv

Long tasks trip up most AIs because they lose track of goals and make small mistakes that snowball over many steps.

#long-horizon agency#pull request chains#software evolution

MAI-UI Technical Report: Real-World Centric Foundation GUI Agents

Intermediate
Hanzhang Zhou, Xu Zhang et al.Dec 26arXiv

MAI-UI is a family of AI agents that can see, understand, and control phone and computer screens using plain language.

#GUI agent#GUI grounding#mobile navigation

BEAVER: An Efficient Deterministic LLM Verifier

Intermediate
Tarun Suresh, Nalin Wadhwa et al.Dec 5arXiv

BEAVER is a new way to check, with guaranteed certainty, how likely a language model is to give answers that obey important rules.

#BEAVER#deterministic verification#large language models