openai / prm800kLinks
800,000 step-level correctness labels on LLM solutions to MATH problems
☆2,045Updated 2 years ago
Alternatives and similar repositories for prm800k
Users that are interested in prm800k are comparing it to the libraries listed below
Sorting:
- An automatic evaluator for instruction-following language models. Human-validated, high-quality, cheap, and fast.☆1,849Updated last month
- Human preference data for "Training a Helpful and Harmless Assistant with Reinforcement Learning from Human Feedback"☆1,782Updated 2 months ago
- Benchmarking large language models' complex reasoning ability with chain-of-thought prompting☆2,746Updated last year
- A simulation framework for RLHF and alternatives. Develop your RLHF method without collecting human data.☆825Updated last year
- The MATH Dataset (NeurIPS 2021)☆1,185Updated last week
- ☆1,322Updated last year
- Measuring Massive Multitask Language Understanding | ICLR 2021☆1,489Updated 2 years ago
- A library with extensible implementations of DPO, KTO, PPO, ORPO, and other human-aware loss functions (HALOs).☆885Updated 2 months ago
- Reference implementation for DPO (Direct Preference Optimization)☆2,728Updated last year
- ☆762Updated last year
- YaRN: Efficient Context Window Extension of Large Language Models☆1,598Updated last year
- [NeurIPS 2024] SimPO: Simple Preference Optimization with a Reference-Free Reward☆920Updated 6 months ago
- Secrets of RLHF in Large Language Models Part I: PPO☆1,396Updated last year
- Code for our EMNLP 2023 Paper: "LLM-Adapters: An Adapter Family for Parameter-Efficient Fine-Tuning of Large Language Models"☆1,198Updated last year
- ToRA is a series of Tool-integrated Reasoning LLM Agents designed to solve challenging mathematical reasoning problems by interacting wit…☆1,087Updated last year
- A family of open-sourced Mixture-of-Experts (MoE) Large Language Models☆1,589Updated last year
- The official implementation of Self-Play Fine-Tuning (SPIN)☆1,195Updated last year
- Implementation of the training framework proposed in Self-Rewarding Language Model, from MetaAI☆1,400Updated last year
- O1 Replication Journey☆1,996Updated 8 months ago
- The official GitHub page for the survey paper "A Survey on Evaluation of Large Language Models".☆1,561Updated 3 months ago
- ☆1,537Updated 3 weeks ago
- A collection of open-source dataset to train instruction-following LLMs (ChatGPT,LLaMA,Alpaca)☆1,129Updated last year
- LOMO: LOw-Memory Optimization☆990Updated last year
- Reading list of Instruction-tuning. A trend starts from Natrural-Instruction (ACL 2022), FLAN (ICLR 2022) and T0 (ICLR 2022).☆769Updated 2 years ago
- Code for the paper Fine-Tuning Language Models from Human Preferences☆1,361Updated 2 years ago
- A Comprehensive Benchmark to Evaluate LLMs as Agents (ICLR'24)☆2,780Updated 7 months ago
- LLMs can generate feedback on their work, use it to improve the output, and repeat this process iteratively.☆734Updated 11 months ago
- [ACL2023] We introduce LLM-Blender, an innovative ensembling framework to attain consistently superior performance by leveraging the dive…☆962Updated 10 months ago
- A modular RL library to fine-tune language models to human preferences☆2,347Updated last year
- ☆909Updated last year