TnTWoW / code_reasoningLinks
☆11Updated 4 months ago
Alternatives and similar repositories for code_reasoning
Users that are interested in code_reasoning are comparing it to the libraries listed below
Sorting:
- This is the official implementation of the paper "S²R: Teaching LLMs to Self-verify and Self-correct via Reinforcement Learning"☆65Updated 2 months ago
- Watch Every Step! LLM Agent Learning via Iterative Step-level Process Refinement (EMNLP 2024 Main Conference)☆59Updated 8 months ago
- R1-Searcher++: Incentivizing the Dynamic Knowledge Acquisition of LLMs via Reinforcement Learning☆37Updated last month
- Source code for our paper: "ARIA: Training Language Agents with Intention-Driven Reward Aggregation".☆18Updated last week
- ☆24Updated 2 months ago
- ☆46Updated 8 months ago
- [ICML 2025] Teaching Language Models to Critique via Reinforcement Learning☆99Updated last month
- [ICLR 2025] SuperCorrect: Advancing Small LLM Reasoning with Thought Template Distillation and Self-Correction☆72Updated 3 months ago
- Official code implementation for the ACL 2025 paper: 'Dynamic Scaling of Unit Tests for Code Reward Modeling'☆23Updated last month
- This is a unified platform for implementing and evaluating test-time reasoning mechanisms in Large Language Models (LLMs).☆19Updated 5 months ago
- [ICLR 2025 Workshop] "Landscape of Thoughts: Visualizing the Reasoning Process of Large Language Models"☆25Updated last week
- AdaRFT: Efficient Reinforcement Finetuning via Adaptive Curriculum Learning☆37Updated 2 weeks ago
- A Sober Look at Language Model Reasoning☆74Updated last week
- Official codebase for "GenPRM: Scaling Test-Time Compute of Process Reward Models via Generative Reasoning".☆75Updated 3 weeks ago
- Interpretable Contrastive Monte Carlo Tree Search Reasoning☆48Updated 7 months ago
- The OlymMATH dataset☆16Updated 3 weeks ago
- [NAACL 2025] The official implementation of paper "Learning From Failure: Integrating Negative Examples when Fine-tuning Large Language M…☆26Updated last year
- Implementation for the research paper "Enhancing LLM Reasoning via Critique Models with Test-Time and Training-Time Supervision".☆54Updated 6 months ago
- [ICML 2025] Flow of Reasoning: Training LLMs for Divergent Reasoning with Minimal Examples☆95Updated 2 weeks ago
- ☆46Updated 4 months ago
- Research Code for preprint "Optimizing Test-Time Compute via Meta Reinforcement Finetuning".☆94Updated 3 months ago
- [NeurIPS 2024] The official implementation of paper: Chain of Preference Optimization: Improving Chain-of-Thought Reasoning in LLMs.☆124Updated 3 months ago
- [NeurIPS'24] Official code for *🎯DART-Math: Difficulty-Aware Rejection Tuning for Mathematical Problem-Solving*☆108Updated 6 months ago
- Code for "Reasoning to Learn from Latent Thoughts"☆105Updated 2 months ago
- Code for "CREAM: Consistency Regularized Self-Rewarding Language Models", ICLR 2025.☆22Updated 4 months ago
- ☆62Updated last week
- Process Reward Models That Think☆41Updated 3 weeks ago
- ☆22Updated 11 months ago
- The rule-based evaluation subset and code implementation of Omni-MATH☆22Updated 6 months ago
- ☆19Updated 3 weeks ago