BM25 Query Augmentation Learned End-to-End
Not on the map. Why?
Abstract (arXiv)
Given BM25's enduring competitiveness as an information retrieval baseline, we investigate to what extent it can be even further improved by augmenting and re-weighting its sparse query-vector representation. We propose an approach to learning an augmentation and a re-weighting end-to-end, and we find that our approach improves performance over BM25 while retaining its speed. We furthermore find that the learned augmentations and re-weightings transfer well to unseen datasets.
Key facts. Cited by 3 papers in the map (data through 14 Oct 2026). Builds on 19 of its 28 references that are in the map. First posted on arXiv 23 May 2023.
Builds on
19 of 28 references.
References · 19
- 2018BERT: Pre-training of Deep Bidirectional Transformers for Language Understandingcited by 40,399
- 2014Adam: A Method for Stochastic Optimizationcited by 37,240
- 2019Sentence-BERT: Sentence Embeddings using Siamese BERT-Networkscited by 9,170
- 2019DistilBERT, a distilled version of BERT: smaller, faster, cheaper and lightercited by 4,307
- 2020Dense Passage Retrieval for Open-Domain Question Answeringcited by 3,824
- 2017TriviaQA: A Large Scale Distantly Supervised Challenge Dataset for Reading Comprehensioncited by 2,955
- 2016MS MARCO: A Human Generated MAchine Reading COmprehension Datasetcited by 1,605
- 2021BEIR: A Heterogenous Benchmark for Zero-shot Evaluation of Information Retrieval Modelscited by 1,252
- 2020ColBERT: Efficient and Effective Passage Search via Contextualized Late Interaction over BERTcited by 1,178
- 2020Approximate Nearest Neighbor Negative Contrastive Learning for Dense Text Retrievalcited by 849
- 2018Subword Regularization: Improving Neural Network Translation Models with Multiple Subword Candidatescited by 639
- 2019Document Expansion by Query Predictioncited by 231
7 more
- 2020Generation-Augmented Retrieval for Open-domain Question Answeringcited by 186
- 2021Simple Entity-Centric Questions Challenge Dense Retrieverscited by 140
- 2021SPLADE v2: Sparse Lexical and Expansion Model for Information Retrievalcited by 127
- 2021COIL: Revisit Exact Lexical Match in Information Retrieval with Contextualized Inverted Listcited by 113
- 2022Autoregressive Search Engines: Generating Substrings as Document Identifierscited by 113
- 2019Context-Aware Sentence/Passage Term Importance Estimation For First Stage Retrievalcited by 65
- 2017Task-Oriented Query Reformulation with Reinforcement Learningcited by 39
Built on by
Citing papers per year: 2025: 1; 2026: 2.
3 papers.