Search Results for author:
Found 2 papers, 2 papers with code
Exploring Precision and Recall to assess the quality and diversity of LLMs
We introduce a novel evaluation framework for Large Language Models (LLMs) such as \textsc{Llama-2} and \textsc{Mistral}, focusing on importing Precision and Recall metrics from image generation to text generation.
LOCOST: State-Space Models for Long Document Abstractive Summarization
State-space models are a low-complexity alternative to transformers for encoding long sequences and capturing long-term dependencies.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
