factuality topic

A package to evaluate factuality of long-form generation. Original implementation of our EMNLP 2023 paper "FActScore: Fine-grained Atomic Evaluation of Factual Precision in Long Form Text Generation"

shmsw25

WikiChat is an improved RAG. It stops the hallucination of large language models by retrieving data from a corpus.

stanford-oval

Code for the arXiv paper: "LLMs as Factual Reasoners: Insights from Existing Benchmarks and Beyond"

salesforce

[Data + code] ExpertQA : Expert-Curated Questions and Attributed Answers

chaitanyamalaviya

Official implementation for the paper "DoLa: Decoding by Contrasting Layers Improves Factuality in Large Language Models"

voidism

Implementation of the paper "FactGraph: Evaluating Factuality in Summarization with Semantic Graph Representations (NAACL 2022)"

amazon-science

Code and data for the ACL 2024 Findings paper "Do LVLMs Understand Charts? Analyzing and Correcting Factual Errors in Chart Captioning"

khuangaf

Loki: Open-source solution designed to automate the process of verifying factuality

Libr-AI

RefChecker provides automatic checking pipeline and benchmark dataset for detecting fine-grained hallucinations generated by Large Language Models.

amazon-science

Benchmarking long-form factuality in large language models. Original code for our paper "Long-form factuality in large language models".

google-deepmind