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Found 4 papers, 1 papers with code
LLMeBench: A Flexible Framework for Accelerating LLMs Benchmarking
In this study, we introduce the LLMeBench framework, which can be seamlessly customized to evaluate LLMs for any NLP task, regardless of language.
LAraBench: Benchmarking Arabic AI with Large Language Models
Our findings provide valuable insights into the applicability of LLMs for Arabic NLP and speech processing tasks.
Can LLMs facilitate interpretation of pre-trained language models?
We propose using a large language model, ChatGPT, as an annotator to enable fine-grained interpretation analysis of pre-trained language models.
On the Evaluation of the Plausibility and Faithfulness of Sentiment Analysis Explanations
In this work, inspired by offline information retrieval, we propose different metrics and techniques to evaluate the explainability of SA models from two angles.
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