Stars
[ACL 2025] A Generalizable and Purely Unsupervised Self-Training Framework
🌐 WebThinker: Empowering Large Reasoning Models with Deep Research Capability
[ACL 2024] The implementation of PathReasoner
OS-ATLAS: A Foundation Action Model For Generalist GUI Agents
[SIGIR 2022] The implementation of Logiformer
[ACL 2025] A Neural-Symbolic Self-Training Framework
Graph-R1: Incentivizing Reasoning-on-Graph Capability in LLM via Reinforcement Learning
HyperGraphRAG: Retrieval-Augmented Generation via Hypergraph-Structured Knowledge Representation
[ACL 2025] An inference-time decoding strategy with adaptive foresight sampling
Agent-R1: Training Powerful LLM Agents with End-to-End Reinforcement Learning
Search-R1: An Efficient, Scalable RL Training Framework for Reasoning & Search Engine Calling interleaved LLM based on veRL
EasyR1: An Efficient, Scalable, Multi-Modality RL Training Framework based on veRL
Solve Visual Understanding with Reinforced VLMs
Fully open reproduction of DeepSeek-R1
SQL-o1: A Self-Reward Heuristic Dynamic Search Method for Text-to-SQL
This project aims to collect the latest "call for reviewers" links from various top CS/ML/AI conferences/journals
Official implementation for NeurIPS'24 paper: MDAgents: An Adaptive Collaboration of LLMs for Medical Decision-Making
[ICML 2025] Official resources of "KBQA-o1: Agentic Knowledge Base Question Answering with Monte Carlo Tree Search".
Codes and Data for ACL 2024 Paper "Faithful Logical Reasoning via Symbolic Chain-of-Thought".
[EMNLP 2024] Reasoning Paths Optimization: Learning to Reason and Explore From Diverse Paths
Incremental Knowledge Graphs Constructor Using Large Language Models
This is work done by the Oxen.ai Community, trying to reproduce the Self-Rewarding Language Model paper from MetaAI.
"Few-shot In-context Learning for Knowledge Base Question Answering" [ACL2023]
Code-Style In-Context Learning for Knowledge-Based Question Answering