RUC-NLPIR/WebThinker
[NeurIPS 2025] 🌐 WebThinker: Empowering Large Reasoning Models with Deep Research Capability
🔍 Search-o1: Agentic Search-Enhanced Large Reasoning Models [EMNLP 2025]
[NeurIPS 2025] 🌐 WebThinker: Empowering Large Reasoning Models with Deep Research Capability
R1-searcher: Incentivizing the Search Capability in LLMs via Reinforcement Learning
SimpleDeepSearcher: Deep Information Seeking via Web-Powered Reasoning Trajectory Synthesis
No description.
Official Implementation of "O-Researcher: An Open Ended Deep Research Model via Multi-Agent Distillation and Agentic RL"
A High-Efficiency System of Large Language Model Based Search Agents
3 captures since 2026-05-23
requirements.txt
· python · 7 dependencies
scripts/lcb_runner/pyext/pyext-0.7/setup.cfg
· python · 0 dependencies
scripts/lcb_runner/pyext/pyext-0.7/setup.py
· python · 0 dependencies