esteng / regal_program_learningLinks
☆25Updated last year
Alternatives and similar repositories for regal_program_learning
Users that are interested in regal_program_learning are comparing it to the libraries listed below
Sorting:
- ☆119Updated last year
- [EMNLP'23] Execution-Based Evaluation for Open Domain Code Generation☆49Updated 2 years ago
- ☆41Updated last year
- ☆25Updated last year
- ☆56Updated last year
- Can Language Models Solve Olympiad Programming?☆124Updated 11 months ago
- Repository for NPHardEval, a quantified-dynamic benchmark of LLMs☆61Updated last year
- [ACL'24] Code and data of paper "When is Tree Search Useful for LLM Planning? It Depends on the Discriminator"☆54Updated last year
- ☆80Updated 9 months ago
- InstructCoder: Instruction Tuning Large Language Models for Code Editing | Oral ACL-2024 srw☆64Updated last year
- CodeUltraFeedback: aligning large language models to coding preferences (TOSEM 2025)☆73Updated last year
- Replicating O1 inference-time scaling laws☆91Updated last year
- StepCoder: Improve Code Generation with Reinforcement Learning from Compiler Feedback☆74Updated last year
- A dataset of LLM-generated chain-of-thought steps annotated with mistake location.☆84Updated last year
- Code for paper "LEVER: Learning to Verifiy Language-to-Code Generation with Execution" (ICML'23)☆90Updated 2 years ago
- [ICML 2025] Flow of Reasoning: Training LLMs for Divergent Reasoning with Minimal Examples☆113Updated 5 months ago
- About The corresponding code from our paper " REFINER: Reasoning Feedback on Intermediate Representations" (EACL 2024). Do not hesitate t…☆72Updated last year
- e☆42Updated 8 months ago
- ☆30Updated this week
- 🔗 LINC: Logical Inference via Neurosymbolic Computation [EMNLP2023]☆78Updated last year
- Code for the arXiv preprint "The Unreasonable Effectiveness of Easy Training Data"☆48Updated last year
- ☆102Updated 2 years ago
- ☆14Updated last year
- [EMNLP '23] Discriminator-Guided Chain-of-Thought Reasoning☆49Updated last year
- Large language models (LLMs) made easy, EasyLM is a one stop solution for pre-training, finetuning, evaluating and serving LLMs in JAX/Fl…☆77Updated last year
- ☆85Updated 11 months ago
- Code for the TMLR 2023 paper "PPOCoder: Execution-based Code Generation using Deep Reinforcement Learning"☆118Updated last year
- Training and Benchmarking LLMs for Code Preference.☆37Updated last year
- Dialogue Action Tokens: Steering Language Models in Goal-Directed Dialogue with a Multi-Turn Planner☆29Updated last year
- ☆109Updated 7 months ago