Resources for brewing beir: Reproducible reference models and statistical analyses
BEIR is a benchmark dataset originally designed for zero-shot evaluation of retrieval models
across 18 different domain/task combinations. In recent years, we have witnessed the …
across 18 different domain/task combinations. In recent years, we have witnessed the …
Splate: Sparse late interaction retrieval
The late interaction paradigm introduced with ColBERT stands out in the neural Information
Retrieval space, offering a compelling effectiveness-efficiency trade-off across many …
Retrieval space, offering a compelling effectiveness-efficiency trade-off across many …
Two-Step SPLADE: Simple, Efficient and Effective Approximation of SPLADE
Learned sparse models such as SPLADE have successfully shown how to incorporate the
benefits of state-of-the-art neural information retrieval models into the classical inverted …
benefits of state-of-the-art neural information retrieval models into the classical inverted …
[PDF][PDF] Exploring Effect-Size-Based Meta-Analysis for Multi-Dataset Evaluation.
In this paper, we address the essential yet complex task of evaluating Recommender
Systems (RecSys) across multiple datasets. This is critical for gauging their overall …
Systems (RecSys) across multiple datasets. This is critical for gauging their overall …