GraphPKU / Case_or_RuleLinks
exploring whether LLMs perform case-based or rule-based reasoning
☆30Updated last year
Alternatives and similar repositories for Case_or_Rule
Users that are interested in Case_or_Rule are comparing it to the libraries listed below
Sorting:
- A Sober Look at Language Model Reasoning☆92Updated 2 months ago
- ☆53Updated 11 months ago
- RL Scaling and Test-Time Scaling (ICML'25)☆112Updated last year
- [ICML 2025] Teaching Language Models to Critique via Reinforcement Learning☆120Updated 9 months ago
- Interpretable Contrastive Monte Carlo Tree Search Reasoning☆50Updated last year
- The official repo for "AceCoder: Acing Coder RL via Automated Test-Case Synthesis" [ACL25]☆95Updated 9 months ago
- Code for "Reasoning to Learn from Latent Thoughts"☆124Updated 10 months ago
- This is the official implementation of the paper "S²R: Teaching LLMs to Self-verify and Self-correct via Reinforcement Learning"☆73Updated 9 months ago
- ☆17Updated 6 months ago
- ☆51Updated last year
- A unified suite for generating elite reasoning problems and training high-performance LLMs, including pioneering attention-free architect…☆134Updated last week
- [ICLR 2025] SuperCorrect: Advancing Small LLM Reasoning with Thought Template Distillation and Self-Correction☆87Updated 10 months ago
- ☆50Updated 11 months ago
- Directional Preference Alignment☆58Updated last year
- [EMNLP 2025] WebAgent-R1: Training Web Agents via End-to-End Multi-Turn Reinforcement Learning☆70Updated 3 months ago
- Code and models for EMNLP 2024 paper "WPO: Enhancing RLHF with Weighted Preference Optimization"☆41Updated last year
- [NeurIPS-2024] 📈 Scaling Laws with Vocabulary: Larger Models Deserve Larger Vocabularies https://arxiv.org/abs/2407.13623☆89Updated last year
- [NeurIPS 2025 Spotlight] Co-Evolving LLM Coder and Unit Tester via Reinforcement Learning☆150Updated 4 months ago
- A comrephensive collection of learning from rewards in the post-training and test-time scaling of LLMs, with a focus on both reward model…☆62Updated 7 months ago
- Natural Language Reinforcement Learning☆101Updated 6 months ago
- The official repository of "Improving Large Language Models via Fine-grained Reinforcement Learning with Minimum Editing Constraint"☆39Updated 2 years ago
- [ICLR'24 spotlight] Tool-Augmented Reward Modeling☆53Updated 8 months ago
- [NAACL 2025] The official implementation of paper "Learning From Failure: Integrating Negative Examples when Fine-tuning Large Language M…☆28Updated last year
- On Memorization of Large Language Models in Logical Reasoning☆74Updated 10 months ago
- GenRM-CoT: Data release for verification rationales☆67Updated last year
- ☆34Updated last year
- ☆104Updated last year
- [NeurIPS'24] Weak-to-Strong Search: Align Large Language Models via Searching over Small Language Models☆65Updated last year
- Revisiting Mid-training in the Era of Reinforcement Learning Scaling☆182Updated 6 months ago
- [ACL 2025] We introduce ScaleQuest, a scalable, novel and cost-effective data synthesis method to unleash the reasoning capability of LLM…☆68Updated last year