Repository profile
[EMNLP'25] s3 - ⚡ Efficient & Effective Search Agent Training via RL for RAG (RLVR for Search with Minimal Data)
Repository updates
Get generated pat-jj/s3 development summaries by email, or follow the weekly and monthly RSS feeds.
Sign in to subscribe by email. RSS feeds are public.
Sign in to subscribeTracked growth, recent movement, and commit velocity from stored repository snapshots.
Latest capture 2026-07-13 03:03
5 captures since 2026-05-23
Stars from baseline +6
All tracked data
Frameworks, package managers, ecosystems, and dependency manifests found during catalog scans.
Scanned 2026-07-13 03:03
requirements.txt
python ecosystem,
16 dependencies
setup.py
python ecosystem,
0 dependencies
Searchable topics, generated tags, and stack labels that explain where this repository fits.
Agent instructions and tool configuration paths found in the repository tree.
Nearest indexed repositories by embedding similarity.
A High-Efficiency System of Large Language Model Based Search Agents
R1-searcher: Incentivizing the Search Capability in LLMs via Reinforcement Learning
No description.
Tongyi Deep Research, the Leading Open-source Deep Research Agent
ZeroSearch: Incentivize the Search Capability of LLMs without Searching
Democratizing Reinforcement Learning for LLMs
