2 citations · 7 across the 6 of their papers we have counts for
Showing 2024Show all
3 papers · 1 filter
cs.IR2024★ 2 cited
Reducing the Footprint of Multi-Vector Retrieval with Minimal Performance Impact via Token Pooling
Benjamin Clavié, Antoine Chaffin, Griffin Adams
Over the last few years, multi-vector retrieval methods, spearheaded by ColBERT, have become an increasingly popular approach to Neural IR. By storing representations at the token…
cs.IR2024★ 2 cited
rerankers: A Lightweight Python Library to Unify Ranking Methods
Benjamin Clavié
This paper presents rerankers, a Python library which provides an easy-to-use interface to the most commonly used re-ranking approaches. Re-ranking is an integral component of many…
cs.IR2024★ 1 cited
JaColBERTv2.5: Optimising Multi-Vector Retrievers to Create State-of-the-Art Japanese Retrievers with Constrained Resources
Benjamin Clavié
Neural Information Retrieval has advanced rapidly in high-resource languages, but progress in lower-resource ones such as Japanese has been hindered by data scarcity, among other c…