GraphPKU / Case_or_RuleLinks
exploring whether LLMs perform case-based or rule-based reasoning
☆29Updated 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☆83Updated this week
- A curated list of awesome LLM Inference-Time Self-Improvement (ITSI, pronounced "itsy") papers from our recent survey: A Survey on Large …☆96Updated 9 months ago
- [NeurIPS 2024] A Novel Rank-Based Metric for Evaluating Large Language Models☆53Updated 4 months ago
- ☆22Updated last year
- ☆38Updated last month
- A unified suite for generating elite reasoning problems and training high-performance LLMs, including pioneering attention-free architect…☆106Updated 2 weeks ago
- [ICLR 2025] SuperCorrect: Advancing Small LLM Reasoning with Thought Template Distillation and Self-Correction☆82Updated 6 months ago
- [ICML 2025] Teaching Language Models to Critique via Reinforcement Learning☆114Updated 5 months ago
- RL Scaling and Test-Time Scaling (ICML'25)☆111Updated 8 months ago
- RM-R1: Unleashing the Reasoning Potential of Reward Models☆138Updated 3 months ago
- ☆50Updated 11 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…☆56Updated 3 months ago
- The official repository of "Improving Large Language Models via Fine-grained Reinforcement Learning with Minimum Editing Constraint"☆38Updated last year
- ☆41Updated 10 months ago
- [NAACL 2025] The official implementation of paper "Learning From Failure: Integrating Negative Examples when Fine-tuning Large Language M…☆29Updated last year
- The official repo for "AceCoder: Acing Coder RL via Automated Test-Case Synthesis" [ACL25]☆88Updated 6 months ago
- [EMNLP 2025] WebAgent-R1: Training Web Agents via End-to-End Multi-Turn Reinforcement Learning☆44Updated last month
- [ACL'24] Chain of Thought (CoT) is significant in improving the reasoning abilities of large language models (LLMs). However, the correla…☆45Updated 4 months ago
- This is the official implementation of the paper "S²R: Teaching LLMs to Self-verify and Self-correct via Reinforcement Learning"☆69Updated 5 months ago
- Revisiting Mid-training in the Era of Reinforcement Learning Scaling☆176Updated 2 months ago
- ☆26Updated last year
- [NeurIPS-2024] 📈 Scaling Laws with Vocabulary: Larger Models Deserve Larger Vocabularies https://arxiv.org/abs/2407.13623☆86Updated last year
- [NeurIPS 2025 Spotlight] ReasonFlux-Coder: Open-Source LLM Coders with Co-Evolving Reinforcement Learning☆122Updated 3 weeks ago
- ☆18Updated 2 months ago
- On Memorization of Large Language Models in Logical Reasoning☆72Updated 6 months ago
- [ACL-25] We introduce ScaleQuest, a scalable, novel and cost-effective data synthesis method to unleash the reasoning capability of LLMs.☆68Updated 11 months ago
- ☆50Updated 7 months ago
- ☆53Updated 7 months ago
- This is the repo for our paper "Mr-Ben: A Comprehensive Meta-Reasoning Benchmark for Large Language Models"☆50Updated 11 months ago
- [NeurIPS 2024 Oral] Aligner: Efficient Alignment by Learning to Correct☆186Updated 8 months ago