|
- SEval-: A Statement-Level Framework for Explainable Summarization . . .
We present SEval-Ex, a framework that bridges this gap by decomposing summarization evaluation into atomic statements, enabling both high performance and explainability
- GitHub - TanguyHsrt seval-ex
SEval-Ex is a framework that bridges the gap between performance and interpretability in summarization evaluation It decomposes summarization evaluation into atomic statements, providing both high correlation with human judgment and explainable assessment of factual consistency
- SEval- : A Statement-Level Framework for Explainable Summarization . . .
We present SEval-Ex, a novel framework that decomposes summarization evaluation into atomic statements, enabling both high performance and inter-pretable assessment of the factuality of information (consistency)
- GitHub - SEEDGuard SEVAL: Auto-evaluation for SE tasks.
This document outlines the process for contributing to our project Your contributions can make a real difference, and we appreciate every effort you make to help improve this project
- SEVAL Evaluation standards
These are the evaluation standards of the Swiss Evaluation Society (SEVAL) which have been designed to contribute to the professionalisation of evaluation in Switzerland
- Manpower-Based System Evaluation Aid (MAN-SEVAL).
MAN-SEVAL can help determine whether a design is likely to meet the system performance requirements with the maintenance and operator crew sizes that will be available to operate and maintain the system once it is fielded MAN-SEVAL is intended to be used iteratively
- SEval-Ex: A Statement-Level Framework for Explainable Summarization . . .
SEval- is a new way to check how good AI-written summaries are by breaking them down into individual statements and analyzing each one Think of it like a teacher grading an essay by looking at each sentence separately, rather than just giving one overall grade
- SEVAL Evaluations - Swiss Economics
To account for and isolate such interdependencies, we often apply special statistical methods such as the "difference-in-differences approach" (Diff-in-Diff) We are a member of the Swiss Evaluation Society SEVAL and follow the SEVAL standards
|
|
|