[HTML][HTML] Information retrieval meets large language models: a strategic report from chinese ir community
The research field of Information Retrieval (IR) has evolved significantly, expanding beyond
traditional search to meet diverse user information needs. Recently, Large Language …
traditional search to meet diverse user information needs. Recently, Large Language …
Towards query performance prediction for neural information retrieval: challenges and opportunities
In this work, we propose a novel framework to devise features that can be used by Query
Performance Prediction (QPP) models for Neural Information Retrieval (NIR). Using the …
Performance Prediction (QPP) models for Neural Information Retrieval (NIR). Using the …
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 …
Disentangled modeling of domain and relevance for adaptable dense retrieval
Recent advance in Dense Retrieval (DR) techniques has significantly improved the
effectiveness of first-stage retrieval. Trained with large-scale supervised data, DR models …
effectiveness of first-stage retrieval. Trained with large-scale supervised data, DR models …
Resources for brewing BEIR: reproducible reference models and an official leaderboard
BEIR is a benchmark dataset for zero-shot evaluation of information retrieval models across
18 different domain/task combinations. In recent years, we have witnessed the growing …
18 different domain/task combinations. In recent years, we have witnessed the growing …
A novel dual-stage grey-box stacking method for significantly improving the extrapolation performance of ship fuel consumption prediction models
Z Ruan, L Huang, D Li, R Ma, K Wang, R Zhang… - Energy, 2025 - Elsevier
Abstract Ship Fuel Consumption Prediction (SFCP) is the foundation of ship energy
efficiency assessment and optimization. However, existing research neglects to examine the …
efficiency assessment and optimization. However, existing research neglects to examine the …
Domain Adaptation of Multilingual Semantic Search--Literature Review
A Bringmann, A Zhukova - arxiv preprint arxiv:2402.02932, 2024 - arxiv.org
This literature review gives an overview of current approaches to perform domain adaptation
in a low-resource and approaches to perform multilingual semantic search in a low-resource …
in a low-resource and approaches to perform multilingual semantic search in a low-resource …
On Generalization for Generative Flow Networks
Generative Flow Networks (GFlowNets) have emerged as an innovative learning paradigm
designed to address the challenge of sampling from an unnormalized probability …
designed to address the challenge of sampling from an unnormalized probability …
Reducing the Footprint of Multi-Vector Retrieval with Minimal Performance Impact via Token Pooling
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 …
become an increasingly popular approach to Neural IR. By storing representations at the …