Alternatives and similar repositories for FastCuRL

Users that are interested in FastCuRL are comparing it to the libraries listed below

• YangLing0818 / SuperCorrect-llm
  [ICLR 2025] SuperCorrect: Advancing Small LLM Reasoning with Thought Template Distillation and Self-Correction
  ☆86Updated 9 months ago
• DAMO-NLP-SG / LongPO
  [ICLR 2025] LongPO: Long Context Self-Evolution of Large Language Models through Short-to-Long Preference Optimization
  ☆43Updated 10 months ago
• TIGER-AI-Lab / General-Reasoner
  General Reasoner: Advancing LLM Reasoning Across All Domains [NeurIPS25]
  ☆210Updated last month
• Gen-Verse / CURE
  [NeurIPS 2025 Spotlight] Co-Evolving LLM Coder and Unit Tester via Reinforcement Learning
  ☆144Updated 3 months ago
• efficientscaling / Z1
  [EMNLP'25 Industry] Repo for "Z1: Efficient Test-time Scaling with Code"
  ☆67Updated 8 months ago
• GAIR-NLP / OctoThinker
  Revisiting Mid-training in the Era of Reinforcement Learning Scaling
  ☆182Updated 5 months ago
• THUDM / T1
  RL Scaling and Test-Time Scaling (ICML'25)
  ☆112Updated 11 months ago
• ReasoningTransfer / Transferability-of-LLM-Reasoning
  ☆106Updated 2 weeks ago
• HKUNLP / critic-rl
  [ICML 2025] Teaching Language Models to Critique via Reinforcement Learning
  ☆118Updated 7 months ago
• TIGER-AI-Lab / AceCoder
  The official repo for "AceCoder: Acing Coder RL via Automated Test-Case Synthesis" [ACL25]
  ☆94Updated 8 months ago
• zjunlp / LightThinker
  [EMNLP 2025] LightThinker: Thinking Step-by-Step Compression
  ☆126Updated 8 months ago
• TIGER-AI-Lab / CritiqueFineTuning
  Code for "Critique Fine-Tuning: Learning to Critique is More Effective than Learning to Imitate" [COLM 2025]
  ☆180Updated 5 months ago
• LAMDASZ-ML / Self-Backtracking
  ☆51Updated 10 months ago
• GuanghaoYe / Emergence-of-Thinking
  ☆53Updated 10 months ago
• hkust-nlp / B-STaR
  B-STAR: Monitoring and Balancing Exploration and Exploitation in Self-Taught Reasoners
  ☆86Updated 7 months ago
• xufangzhi / phi-Decoding
  [ACL 2025] An inference-time decoding strategy with adaptive foresight sampling
  ☆105Updated 7 months ago
• mukhal / ThinkPRM
  Process Reward Models That Think
  ☆67Updated 3 weeks ago
• Quehry / HelloBench
  HelloBench: Evaluating Long Text Generation Capabilities of Large Language Models
  ☆53Updated last year
• SihengLi99 / SEALONG
  Large Language Models Can Self-Improve in Long-context Reasoning
  ☆73Updated last year
• xufangzhi / Genius
  [ACL 2025] A Generalizable and Purely Unsupervised Self-Training Framework
  ☆71Updated 6 months ago
• THU-KEG / Agentic-Reward-Modeling
  [ACL 2025] Agentic Reward Modeling: Integrating Human Preferences with Verifiable Correctness Signals for Reliable Reward Systems
  ☆115Updated 6 months ago
• hkust-nlp / PreSelect
  [ICML 2025] Predictive Data Selection: The Data That Predicts Is the Data That Teaches
  ☆59Updated 9 months ago
• test-time-interaction / TTI
  ☆68Updated 6 months ago
• GeniusHTX / TALE
  ☆140Updated 3 months ago
• MiniMax-AI / SynLogic
  [NeurIPS 2025] The official repo of SynLogic: Synthesizing Verifiable Reasoning Data at Scale for Learning Logical Reasoning and Beyond
  ☆187Updated 5 months ago
• MingLiiii / Layer_Gradient
  [ACL'25 Oral] What Happened in LLMs Layers when Trained for Fast vs. Slow Thinking: A Gradient Perspective
  ☆74Updated 6 months ago
• TEAM-ARM / arm
  [NeurIPS'25 Spotlight] ARM: Adaptive Reasoning Model
  ☆62Updated 2 months ago
• cxcscmu / Montessori-Instruct
  Official repository for Montessori-Instruct: Generate Influential Training Data Tailored for Student Learning [ICLR 2025]
  ☆50Updated 11 months ago
• imagination-research / lbt
  [NeurIPS 2024] Can LLMs Learn by Teaching for Better Reasoning? A Preliminary Study
  ☆57Updated last year
• multimodal-art-projection / TreePO
  ☆54Updated 2 months ago