hendrycks / mathLinks
The MATH Dataset (NeurIPS 2021)
☆1,125Updated 10 months ago
Alternatives and similar repositories for math
Users that are interested in math are comparing it to the libraries listed below
Sorting:
- ☆1,269Updated last year
- 800,000 step-level correctness labels on LLM solutions to MATH problems☆2,001Updated 2 years ago
- Resources of deep learning for mathematical reasoning (DL4MATH).☆357Updated last year
- Reading list of Instruction-tuning. A trend starts from Natrural-Instruction (ACL 2022), FLAN (ICLR 2022) and T0 (ICLR 2022).☆769Updated last year
- Measuring Massive Multitask Language Understanding | ICLR 2021☆1,418Updated 2 years ago
- Challenging BIG-Bench Tasks and Whether Chain-of-Thought Can Solve Them☆495Updated 11 months ago
- ☆1,520Updated last month
- A framework for the evaluation of autoregressive code generation language models.☆946Updated 7 months ago
- APPS: Automated Programming Progress Standard (NeurIPS 2021)☆465Updated 11 months ago
- Expanding natural instructions☆998Updated last year
- ☆731Updated last month
- Prod Env☆421Updated last year
- ☆754Updated 11 months ago
- This repository contains a collection of papers and resources on Reasoning in Large Language Models.☆565Updated last year
- TruthfulQA: Measuring How Models Imitate Human Falsehoods☆738Updated 4 months ago
- Contriever: Unsupervised Dense Information Retrieval with Contrastive Learning☆737Updated 2 years ago
- A library with extensible implementations of DPO, KTO, PPO, ORPO, and other human-aware loss functions (HALOs).☆851Updated last week
- ToRA is a series of Tool-integrated Reasoning LLM Agents designed to solve challenging mathematical reasoning problems by interacting wit…☆1,071Updated last year
- Code and data for "MAmmoTH: Building Math Generalist Models through Hybrid Instruction Tuning" [ICLR 2024]☆371Updated 9 months ago
- Code for the paper Fine-Tuning Language Models from Human Preferences☆1,334Updated last year
- An automatic evaluator for instruction-following language models. Human-validated, high-quality, cheap, and fast.☆1,763Updated 5 months ago
- [ACL 2023] Reasoning with Language Model Prompting: A Survey☆961Updated 2 weeks ago
- RewardBench: the first evaluation tool for reward models.☆590Updated this week
- This repository contains code to quantitatively evaluate instruction-tuned models such as Alpaca and Flan-T5 on held-out tasks.☆547Updated last year
- Code repository for supporting the paper "Atlas Few-shot Learning with Retrieval Augmented Language Models",(https//arxiv.org/abs/2208.03…☆537Updated last year
- [NeurIPS 2024] SimPO: Simple Preference Optimization with a Reference-Free Reward☆896Updated 3 months ago
- Official implementation for the paper "DoLa: Decoding by Contrasting Layers Improves Factuality in Large Language Models"☆493Updated 4 months ago
- LLMs can generate feedback on their work, use it to improve the output, and repeat this process iteratively.☆699Updated 8 months ago
- A package to evaluate factuality of long-form generation. Original implementation of our EMNLP 2023 paper "FActScore: Fine-grained Atomic…☆351Updated last month
- ☆439Updated 10 months ago