openai / grade-school-mathLinks
☆1,367Updated last year
Alternatives and similar repositories for grade-school-math
Users that are interested in grade-school-math are comparing it to the libraries listed below
Sorting:
- The MATH Dataset (NeurIPS 2021)☆1,267Updated 3 months ago
- Measuring Massive Multitask Language Understanding | ICLR 2021☆1,527Updated 2 years ago
- 800,000 step-level correctness labels on LLM solutions to MATH problems☆2,076Updated 2 years ago
- An automatic evaluator for instruction-following language models. Human-validated, high-quality, cheap, and fast.☆1,924Updated 4 months ago
- Human preference data for "Training a Helpful and Harmless Assistant with Reinforcement Learning from Human Feedback"☆1,803Updated 5 months ago
- ☆1,555Updated last week
- TruthfulQA: Measuring How Models Imitate Human Falsehoods☆855Updated 10 months ago
- Expanding natural instructions☆1,027Updated 2 years ago
- ☆769Updated last year
- Beyond the Imitation Game collaborative benchmark for measuring and extrapolating the capabilities of language models☆3,168Updated last year
- Challenging BIG-Bench Tasks and Whether Chain-of-Thought Can Solve Them☆535Updated last year
- Code for the paper Fine-Tuning Language Models from Human Preferences☆1,377Updated 2 years ago
- Code for the paper "Evaluating Large Language Models Trained on Code"☆3,052Updated 10 months ago
- Benchmarking large language models' complex reasoning ability with chain-of-thought prompting☆2,761Updated last year
- A framework for the evaluation of autoregressive code generation language models.☆1,007Updated 4 months ago
- ☆1,057Updated last year
- Reading list of Instruction-tuning. A trend starts from Natrural-Instruction (ACL 2022), FLAN (ICLR 2022) and T0 (ICLR 2022).☆768Updated 2 years ago
- A simulation framework for RLHF and alternatives. Develop your RLHF method without collecting human data.☆838Updated last year
- Holistic Evaluation of Language Models (HELM) is an open source Python framework created by the Center for Research on Foundation Models …☆2,575Updated this week
- Original Implementation of Prompt Tuning from Lester, et al, 2021☆699Updated 9 months ago
- [ACL 2023] Reasoning with Language Model Prompting: A Survey☆990Updated 6 months ago
- A modular RL library to fine-tune language models to human preferences☆2,374Updated last year
- LLMs can generate feedback on their work, use it to improve the output, and repeat this process iteratively.☆760Updated last year
- Prod Env☆434Updated 2 years ago
- A library with extensible implementations of DPO, KTO, PPO, ORPO, and other human-aware loss functions (HALOs).☆894Updated 2 months ago
- The hub for EleutherAI's work on interpretability and learning dynamics☆2,689Updated 3 weeks ago
- Toolkit for creating, sharing and using natural language prompts.☆2,978Updated 2 years ago
- Paper List for In-context Learning 🌷☆871Updated last year
- Code for our EMNLP 2023 Paper: "LLM-Adapters: An Adapter Family for Parameter-Efficient Fine-Tuning of Large Language Models"☆1,217Updated last year
- The papers are organized according to our survey: Evaluating Large Language Models: A Comprehensive Survey.☆788Updated last year