openai / grade-school-math
☆1,226Updated 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
- The MATH Dataset (NeurIPS 2021)☆1,073Updated 7 months ago
- 800,000 step-level correctness labels on LLM solutions to MATH problems☆1,952Updated last year
- Human preference data for "Training a Helpful and Harmless Assistant with Reinforcement Learning from Human Feedback"☆1,707Updated last year
- ☆1,507Updated last week
- TruthfulQA: Measuring How Models Imitate Human Falsehoods☆696Updated 2 months ago
- Measuring Massive Multitask Language Understanding | ICLR 2021☆1,344Updated last year
- ☆741Updated 9 months ago
- An automatic evaluator for instruction-following language models. Human-validated, high-quality, cheap, and fast.☆1,695Updated 2 months ago
- Challenging BIG-Bench Tasks and Whether Chain-of-Thought Can Solve Them☆471Updated 8 months ago
- A modular RL library to fine-tune language models to human preferences☆2,292Updated last year
- Reading list of Instruction-tuning. A trend starts from Natrural-Instruction (ACL 2022), FLAN (ICLR 2022) and T0 (ICLR 2022).☆766Updated last year
- Beyond the Imitation Game collaborative benchmark for measuring and extrapolating the capabilities of language models☆2,997Updated 8 months ago
- Expanding natural instructions☆983Updated last year
- A simulation framework for RLHF and alternatives. Develop your RLHF method without collecting human data.☆801Updated 8 months ago
- This repository contains code to quantitatively evaluate instruction-tuned models such as Alpaca and Flan-T5 on held-out tasks.☆543Updated last year
- ToRA is a series of Tool-integrated Reasoning LLM Agents designed to solve challenging mathematical reasoning problems by interacting wit…☆1,047Updated last year
- Holistic Evaluation of Language Models (HELM), a framework to increase the transparency of language models (https://arxiv.org/abs/2211.09…☆2,131Updated this week
- Prod Env☆408Updated last year
- Original Implementation of Prompt Tuning from Lester, et al, 2021☆673Updated 2 weeks ago
- Benchmarking large language models' complex reasoning ability with chain-of-thought prompting☆2,694Updated 7 months ago
- PaL: Program-Aided Language Models (ICML 2023)☆484Updated last year
- Inference-Time Intervention: Eliciting Truthful Answers from a Language Model☆514Updated last month
- The official GitHub page for the survey paper "A Survey on Evaluation of Large Language Models".☆1,496Updated 9 months ago
- A library with extensible implementations of DPO, KTO, PPO, ORPO, and other human-aware loss functions (HALOs).☆817Updated 2 weeks ago
- Code for the paper Fine-Tuning Language Models from Human Preferences☆1,300Updated last year
- Toolkit for creating, sharing and using natural language prompts.☆2,803Updated last year
- LOMO: LOw-Memory Optimization☆979Updated 8 months ago
- RewardBench: the first evaluation tool for reward models.☆526Updated 3 weeks ago
- The hub for EleutherAI's work on interpretability and learning dynamics☆2,423Updated last week
- This repository contains a collection of papers and resources on Reasoning in Large Language Models.☆557Updated last year