RUCAIBox/R1-Searcher
R1-searcher: Incentivizing the Search Capability in LLMs via Reinforcement Learning
Repository profile
ToolRM: Towards Agentic Tool-Use Reward Modeling
Repository updates
Get generated lirenhao1997/ToolRM 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 0
All tracked data
Frameworks, package managers, ecosystems, and dependency manifests found during catalog scans.
Scanned 2026-07-13 03:03
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.
R1-searcher: Incentivizing the Search Capability in LLMs via Reinforcement Learning
Democratizing Reinforcement Learning for LLMs
Implementation of RLHF (Reinforcement Learning with Human Feedback) on top of the PaLM architecture. Basically ChatGPT but with PaLM
[AAAI 2026] AutoTool: Efficient Tool Selection for Large Language Model Agents
OpenClaw-RL: Train any agent simply by talking
ReSearch: Learning to Reason with Search for LLMs via Reinforcement Learning & ReCall: Learning to Reason with Tool Call for LLMs via Reinforcement Learning