Long-Form Factuality in Large Language ModelsThis is the official code release accompanying our paper "Long-form factuality in large language models". This repository contains:LongFact: A prompt set of 2,280 fact-seeking prompts requiring long-form responses. Search-Augmented Factuality Evaluator (SA...
Gemini 1.5 Flash achieved an impressive factuality score of 85.8% in the public dataset, while Gemini 1.5 Pro and GPT-4o followed closely with scores of 84.9% and 83.6%, respectively. On the private dataset,
OLAPH: Improving Factuality in Biomedical Long-form Question Answering dmis-lab/olaph • • 21 May 2024 We also propose OLAPH, a simple and novel framework that utilizes cost-effective and multifaceted automatic evaluation to construct a synthetic preference set and answers questions in our ...
Therefore, we introduce atomic calibration, a novel approach that evaluates factuality calibration at a fine-grained level by breaking down long responses into atomic claims. We classify confidence elicitation methods into discriminative and generative types and demonstrate that their combination can enhance...
Consequently, attribution for each claim in responses becomes a common solution to improve the factuality and verifiability. Existing researches mainly focus on how to provide accurate citations for the response, which largely overlook the importance of identifying the claims or statements for each ...
This is a repository forOLAPH: Improving Factuality in Biomedical Long-form Question Answeringby Minbyul Jeong, Hyeon Hwang, Chanwoong Yoon, Taewhoo Lee, and Jaewoo Kang. MedLFQA|Self-BioRAG (OLAPH)|BioMistral (OLAPH)|Mistral (OLAPH)|Summary|Paper ...
This is the official repository for our EACL 2023 paper, LongEval: Guidelines for Human Evaluation of Faithfulness in Long-form Summarization. LongEval is a set of three guidelines to help manually evaluate factuality of long summaries. This repository provides the annotation data we collected, alon...
git clone https://github.com/google-deepmind/long-form-factuality.git Then navigate to the newly-created folder. cdlong-form-factuality Next, create a new Python 3.10+ environment usingconda. conda create --name longfact python=3.10 Activate the newly-created environment. ...