upiterbarg / lintseqLinks
[ICLR 2025] "Training LMs on Synthetic Edit Sequences Improves Code Synthesis" (Piterbarg, Pinto, Fergus)
☆19Updated 10 months ago
Alternatives and similar repositories for lintseq
Users that are interested in lintseq are comparing it to the libraries listed below
Sorting:
- Code and Configs for Asynchronous RLHF: Faster and More Efficient RL for Language Models☆67Updated 7 months ago
- Code for the paper "VinePPO: Unlocking RL Potential For LLM Reasoning Through Refined Credit Assignment"☆182Updated 6 months ago
- This is code for most of the experiments in the paper Understanding the Effects of RLHF on LLM Generalisation and Diversity☆47Updated last year
- Easy-to-Hard Generalization: Scalable Alignment Beyond Human Supervision☆125Updated last year
- Code and data used in the paper: "Training on Incorrect Synthetic Data via RL Scales LLM Math Reasoning Eight-Fold"☆31Updated last year
- Can Language Models Solve Olympiad Programming?☆122Updated 10 months ago
- Learning from preferences is a common paradigm for fine-tuning language models. Yet, many algorithmic design decisions come into play. Ou…☆32Updated last year
- ☆106Updated last year
- Code for "Reasoning to Learn from Latent Thoughts"☆123Updated 8 months ago
- Verlog: A Multi-turn RL framework for LLM agents☆66Updated 3 weeks ago
- Rewarded soups official implementation☆62Updated 2 years ago
- Reinforcing General Reasoning without Verifiers☆92Updated 5 months ago
- ☆42Updated 5 months ago
- Code for "Echo Chamber: RL Post-training Amplifies Behaviors Learned in Pretraining"☆26Updated last month
- ☆19Updated last year
- ☆75Updated last year
- ☆100Updated last year
- NeurIPS 2024 tutorial on LLM Inference☆47Updated last year
- Codebase for Inference-Time Policy Adapters☆24Updated 2 years ago
- Code release for "Debating with More Persuasive LLMs Leads to More Truthful Answers"☆122Updated last year
- ☆120Updated last year
- [COLM 2025] Code for Paper: Learning Adaptive Parallel Reasoning with Language Models☆134Updated 3 months ago
- ☆106Updated last year
- GenRM-CoT: Data release for verification rationales☆66Updated 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…☆76Updated last year
- CodeUltraFeedback: aligning large language models to coding preferences (TOSEM 2025)☆72Updated last year
- ☆20Updated last year
- Code for Paper (Preserving Diversity in Supervised Fine-tuning of Large Language Models)☆48Updated 7 months ago
- [NeurIPS'24 Spotlight] Observational Scaling Laws☆59Updated last year
- Official implementation of Bootstrapping Language Models via DPO Implicit Rewards☆45Updated 7 months ago