Titlebook: Advances in Information Retrieval; 46th European Confer Nazli Goharian,Nicola Tonellotto,Iadh Ounis Conference proceedings 2024 The Editor(

預(yù)感

Achini M. De Silva,Mohamed Eshamhave applied windowed self-attention to make cross-encoders more efficient. However, these studies did not investigate the potential and limits of different attention patterns or window sizes. We close this gap and systematically analyze how token interactions can be reduced without harming the re-r

Addictive

SPER

混合物

獨特性

Extremal problems on polynomials,assess the relevance of an answer for a given mathematical question. Mainly, we investigate three factors: (1) the general influence of mathematical formulae, (2) the usage of structural information of those formulae, (3) the overlap of variable names in answers and questions. The findings of the in

媒介

梯田

貿(mào)易

,Polynomes D’interpolation Sur ? Et ?,ogs and the governing privacy constraints make QAC a challenging task. In this work, we propose an on-device QAC method that runs directly on users’ devices, where users’ sensitive data and interaction logs are not collected, shared, or aggregated through web services. This method retrieves candidat

群島

抗生素

Extremal problems on polynomials,he HG model to explain a prediction generated by any model. We propose a path-restricted review-selection method biased by the user preference for item reviews and propose a novel explanation method based on a review graph. Experiments on real-world datasets confirm the ability of the HG model to capture appropriate explanations.