14 нояб. 2023 г. · IFEval is a straightforward and easy-to-reproduce evaluation benchmark. It focuses on a set of verifiable instructions such as write in more than 400 words.

The IFEval dataset is designed for evaluating chat or instruction fine-tuned language models and is one of the core benchmarks used in the Open LLM Leaderboard.

IFEval is a straightforward and easy-to-reproduce evaluation benchmark. It focuses on a set of verifiable instructions such as write in more than 400 words.

The expression of an ifeval directive consists of a left-hand value and a right-hand value with an operator in between. It's customary to include a single space ...

This dataset evaluates instruction following ability of large language models. There are 500+ prompts with instructions such as "write an article with more ...

The current state-of-the-art on IFEval is AutoIF (Llama3 70B). See a full comparison of 4 papers with code.

An evaluator for Large Language Model output. This library will help LLM users to verify their output. The logic implementation is based on a paper written ...

14 нояб. 2023 г. · In this paper, we introduce IFEval, a new approach for evaluating the proficiency of language models in instruction following. The metric ...

We're on a journey to advance and democratize artificial intelligence through open source and open science.

22 февр. 2024 г. · The ifeval statement in an Asciidoc document is used to include or exclude parts of the document depending on the outcome of a comparison of two ...