TruthfulQA is a benchmark to measure whether a language model is truthful in generating answers to questions. The benchmark comprises 817 questions that span ...

This repository contains code for evaluating model performance on the TruthfulQA benchmark. The full set of benchmark questions and reference answers is ... TruthfulQA.csv · TruthfulQA-demo.ipynb · sylinrl/TruthfulQA · GitHub · Pull requests

The current state-of-the-art on TruthfulQA is GPT-4 (RLHF). See a full comparison of 28 papers with code.

TruthfulQA is a benchmark to measure whether a language model is truthful in generating answers to questions. The benchmark comprises 817 questions that ...

17 нояб. 2024 г. · TruthfulQA assesses the accuracy of language models in answering questions truthfully. It includes 817 questions across 38 topics like health, law, finance, ...

8 сент. 2021 г. · We propose a benchmark to measure whether a language model is truthful in generating answers to questions. The benchmark comprises 817 questions ...

The TruthfulQA dataset is specifically designed to evaluate the truthfulness of language models in generating answers to a wide range of questions.

TruthfulQA is a benchmark designed to measure the truthfulness of language models when generating answers to questions. It consists of 817 questions across 38 ...

The benchmark comprises 817 questions that span 38 categories, including health, law, finance and politics. We crafted questions that some humans would answer ...

The benchmark comprises 817 questions that span 38 categories, including health, law, finance and politics. We crafted questions that some humans would answer ...