hendrycks / testLinks
Measuring Massive Multitask Language Understanding | ICLR 2021
☆1,537Updated 2 years ago
Alternatives and similar repositories for test
Users that are interested in test are comparing it to the libraries listed below
Sorting:
- An automatic evaluator for instruction-following language models. Human-validated, high-quality, cheap, and fast.☆1,932Updated 4 months ago
- A framework for the evaluation of autoregressive code generation language models.☆1,012Updated 5 months ago
- TruthfulQA: Measuring How Models Imitate Human Falsehoods☆859Updated 11 months ago
- 800,000 step-level correctness labels on LLM solutions to MATH problems☆2,082Updated 2 years ago
- ☆1,377Updated last year
- Doing simple retrieval from LLM models at various context lengths to measure accuracy☆2,126Updated last year
- Challenging BIG-Bench Tasks and Whether Chain-of-Thought Can Solve Them☆540Updated last year
- A family of open-sourced Mixture-of-Experts (MoE) Large Language Models☆1,648Updated last year
- Human preference data for "Training a Helpful and Harmless Assistant with Reinforcement Learning from Human Feedback"☆1,809Updated 6 months ago
- Benchmarking large language models' complex reasoning ability with chain-of-thought prompting☆2,763Updated last year
- ☆770Updated last year
- ☆1,556Updated 2 weeks ago
- Holistic Evaluation of Language Models (HELM) is an open source Python framework created by the Center for Research on Foundation Models …☆2,604Updated last week
- LongBench v2 and LongBench (ACL 25'&24')☆1,053Updated 11 months ago
- Code for our EMNLP 2023 Paper: "LLM-Adapters: An Adapter Family for Parameter-Efficient Fine-Tuning of Large Language Models"☆1,222Updated last year
- YaRN: Efficient Context Window Extension of Large Language Models☆1,654Updated last year
- This repository contains code to quantitatively evaluate instruction-tuned models such as Alpaca and Flan-T5 on held-out tasks.☆551Updated last year
- The official GitHub page for the survey paper "A Survey on Evaluation of Large Language Models".☆1,586Updated 7 months ago
- Expanding natural instructions☆1,028Updated 2 years ago
- Data and tools for generating and inspecting OLMo pre-training data.☆1,384Updated last month
- Lighteval is your all-in-one toolkit for evaluating LLMs across multiple backends☆2,226Updated 3 weeks ago
- A library with extensible implementations of DPO, KTO, PPO, ORPO, and other human-aware loss functions (HALOs).☆898Updated 3 months ago
- The papers are organized according to our survey: Evaluating Large Language Models: A Comprehensive Survey.☆791Updated last year
- ☆572Updated 2 years ago
- Code for the paper "Evaluating Large Language Models Trained on Code"☆3,073Updated 11 months ago
- distributed trainer for LLMs☆587Updated last year
- Ongoing research training transformer language models at scale, including: BERT & GPT-2☆1,427Updated 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
- ☆922Updated last year
- A collection of awesome-prompt-datasets, awesome-instruction-dataset, to train ChatLLM such as chatgpt 收录各种各样的指令数据集, 用于训练 ChatLLM 模型。☆714Updated last year