llmeval_sum_factual

by SJTU-LIT Python Version: Current License: No License

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kandi X-RAY | llmeval_sum_factual Summary

llmeval_sum_factual is a Python library. llmeval_sum_factual has no bugs, it has no vulnerabilities and it has low support. However llmeval_sum_factual build file is not available. You can download it from GitHub.

This repository contains code for the paper: Evaluating Factual Consistency of Summaries with Large Language Models.

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Support

llmeval_sum_factual has a low active ecosystem.

It has 0 star(s) with 0 fork(s). There are 1 watchers for this library.

It had no major release in the last 6 months.

llmeval_sum_factual has no issues reported. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of llmeval_sum_factual is current.

Quality

llmeval_sum_factual has no bugs reported.

Security

llmeval_sum_factual has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

License

llmeval_sum_factual does not have a standard license declared.

Check the repository for any license declaration and review the terms closely.

Without a license, all rights are reserved, and you cannot use the library in your applications.

Reuse

llmeval_sum_factual releases are not available. You will need to build from source code and install.

llmeval_sum_factual has no build file. You will be need to create the build yourself to build the component from source.

Installation instructions are not available. Examples and code snippets are available.

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llmeval_sum_factual Key Features

No Key Features are available at this moment for llmeval_sum_factual.

llmeval_sum_factual Examples and Code Snippets

No Code Snippets are available at this moment for llmeval_sum_factual.

Community Discussions

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Community Discussions, Code Snippets contain sources that include Stack Exchange Network

Vulnerabilities

No vulnerabilities reported

Install llmeval_sum_factual

You can download it from GitHub.
You can use llmeval_sum_factual like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.

Support

For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .

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