Jul 16, 2024 · We find that our novel methods for estimating passage quality allow passage corpora to be pruned considerably while maintaining statistically ...

Jul 11, 2024 · We find that our novel methods for estimating passage quality allow passage corpora to be pruned considerably while maintaining statistically ...

We find that supervised and unsupervised neural methods for estimating passage quality are more effective than existing lexical methods.

Jul 16, 2024 · Each estimator is used to prune the passages in the corpus down to at most 70% of the original size, at steps of 5%. By 70%, all systems ...

Jul 14, 2024 · Similarly, Chang et al. [4] proposed a static pruning method that estimates passage quality, allowing up to 25% of passages in a corpus to be ...

This paper presents novel neural techniques for estimating passage quality in search engines, enabling the pruning of over 25% of low-quality passages to reduce ...

Jul 17, 2024 · This paper presents a neural passage quality estimation approach for static pruning of large language models.

Content quality estimation with PyTerrier. ... Citation. This repository is for the paper Neural Passage Quality Estimation for Static Pruning at SIGIR 2024.

MacAvaney, S. (2024) Neural Passage Quality Estimation for Static Pruning. In: 47th International ACM SIGIR Conference on Research and Development in ...

Neural Passage Quality Estimation for Static Pruning​​ Most prominently, they can estimate the relevance of a passage or document to a user's query. In this work ...