๐ŸŽ“How I Study AIHISA
๐Ÿ“–Read
๐Ÿ“„Papers๐Ÿ“ฐBlogs๐ŸŽฌCourses
๐Ÿ’กLearn
๐Ÿ›ค๏ธPaths๐Ÿ“šTopics๐Ÿ’กConcepts๐ŸŽดShorts
๐ŸŽฏPractice
๐Ÿ“Daily Log๐ŸŽฏPrompts๐Ÿง Review
SearchSettings
How I Study AI - Learn AI Papers & Lectures the Easy Way

Papers2

AllBeginnerIntermediateAdvanced
All SourcesarXiv
#GAIA benchmark

Towards a Science of AI Agent Reliability

Intermediate
Stephan Rabanser, Sayash Kapoor et al.Feb 18arXiv

Accuracy alone can make AI agents look good on paper while still failing in real life; this paper shows how to measure reliability properly.

#AI agent reliability#consistency#robustness

Inference-Time Scaling of Verification: Self-Evolving Deep Research Agents via Test-Time Rubric-Guided Verification

Intermediate
Yuxuan Wan, Tianqing Fang et al.Jan 22arXiv

DeepVerifier is a plug-in checker that helps Deep Research Agents catch and fix their own mistakes while they are working, without retraining.

#Deep Research Agents#verification asymmetry#rubrics-based feedback