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

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RE-TRAC: REcursive TRAjectory Compression for Deep Search Agents

Intermediate
Jialiang Zhu, Gongrui Zhang et al.Feb 2arXiv

Re-TRAC is a new way for AI search agents to learn from each try, write a clean summary of what happened, and then use that summary to do better on the next try.

#Re-TRAC#trajectory compression#deep research agents

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

Nested Browser-Use Learning for Agentic Information Seeking

Beginner
Baixuan Li, Jialong Wu et al.Dec 29arXiv

This paper teaches AI helpers to browse the web more like people do, not just by grabbing static snippets.

#information-seeking agents#browser-use#ReAct function-calling