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The Power of Selecting Key Blocks with Local Pre-ranking for Long Document Information Retrieval

https://doi.org/10.1145/3568394
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Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1007/3-540-44795-4_42openalex-snapshot
Mining the Web for Synonyms: PMI-IR versus LSA on TOEFL
inferredcites →https://doi.org/10.1007/978-1-4471-2099-5_24openalex-snapshot
Some Simple Effective Approximations to the 2-Poisson Model for Probabilistic Weighted Retrieval
inferredcites →https://doi.org/10.1007/978-3-030-45442-5_4openalex-snapshot
Which BM25 Do You Mean? A Large-Scale Reproducibility Study of Scoring Variants
inferredcites →https://doi.org/10.1007/978-3-031-02141-1openalex-snapshot
Learning to Rank for Information Retrieval and Natural Language Processing
inferredcites →https://doi.org/10.1007/978-3-642-14267-3openalex-snapshot
Learning to Rank for Information Retrieval
inferredcites →https://doi.org/10.1007/s10791-017-9321-yopenalex-snapshot
Neural information retrieval: at the end of the early years
inferredcites →https://doi.org/10.1016/0952-1976(93)90070-eopenalex-snapshot
Proceedings of the 10th European conference on artificial intelligence
inferredcites →https://doi.org/10.1016/j.ipm.2006.10.009openalex-snapshot
A retrospective study of a hybrid document-context based retrieval model
inferredcites →https://doi.org/10.1016/j.ipm.2019.102067openalex-snapshot
A Deep Look into neural ranking models for information retrieval
inferredcites →https://doi.org/10.1016/s0004-3702(99)00101-0openalex-snapshot
Viewing morphology as an inference process
inferredcites →https://doi.org/10.1017/cbo9780511809071.007openalex-snapshot
Scoring, term weighting, and the vector space model
inferredcites →https://doi.org/10.1023/a:1026080230789openalex-snapshot
From Retrieval Status Values to Probabilities of Relevance for Advanced IR Applications
inferredcites →https://doi.org/10.1109/cvpr.2018.00291openalex-snapshot
CondenseNet: An Efficient DenseNet Using Learned Group Convolutions
inferredcites →https://doi.org/10.1109/taslp.2016.2520371openalex-snapshot
Deep Sentence Embedding Using Long Short-Term Memory Networks: Analysis and Application to Information Retrieval
inferredcites →https://doi.org/10.1145/1148170.1148193openalex-snapshot
Semantic term matching in axiomatic approaches to information retrieval
inferredcites →https://doi.org/10.1145/1183614.1183644openalex-snapshot
A document-centric approach to static index pruning in text retrieval systems
inferredcites →https://doi.org/10.1145/1835449.1835676openalex-snapshot
Learning to rank for information retrieval
inferredcites →https://doi.org/10.1145/2505515.2505665openalex-snapshot
Learning deep structured semantic models for web search using clickthrough data
inferredcites →https://doi.org/10.1145/2556195openalex-snapshot
Proceedings of the 7th ACM international conference on Web search and data mining
inferredcites →https://doi.org/10.1145/2661829.2661935openalex-snapshot
A Latent Semantic Model with Convolutional-Pooling Structure for Information Retrieval
inferredcites →https://doi.org/10.1145/2983323.2983769openalex-snapshot
A Deep Relevance Matching Model for Ad-hoc Retrieval
inferredcites →https://doi.org/10.1145/3065386openalex-snapshot
ImageNet classification with deep convolutional neural networks
inferredcites →https://doi.org/10.1145/3077136.3080809openalex-snapshot
End-to-End Neural Ad-hoc Ranking with Kernel Pooling
inferredcites →https://doi.org/10.1145/3132847.3132914openalex-snapshot
DeepRank
inferredcites →https://doi.org/10.1145/3159652.3159689openalex-snapshot
Co-PACRR
inferredcites →https://doi.org/10.1145/3209978.3209980openalex-snapshot
Modeling Diverse Relevance Patterns in Ad-hoc Retrieval
inferredcites →https://doi.org/10.1145/3239571openalex-snapshot
Anserini
inferredcites →https://doi.org/10.1145/3331184.3331250openalex-snapshot
Multi-view Embedding-based Synonyms for Email Search
inferredcites →https://doi.org/10.1145/3331184.3331303openalex-snapshot
Deeper Text Understanding for IR with Contextual Neural Language Modeling
inferredcites →https://doi.org/10.1145/3331184.3331317openalex-snapshot
CEDR
inferredcites →https://doi.org/10.1145/3368089.3417050openalex-snapshot
Estimating GPU memory consumption of deep learning models
inferredcites →https://doi.org/10.1145/3397271.3401224openalex-snapshot
Local Self-Attention over Long Text for Efficient Document Retrieval
inferredcites →https://doi.org/10.1145/3404835.3462889openalex-snapshot
Intra-Document Cascading
inferredcites →https://doi.org/10.1145/3404835.3463083openalex-snapshot
KeyBLD: Selecting Key Blocks with Local Pre-ranking for Long Document Information Retrieval
inferredcites →https://doi.org/10.1145/3428687openalex-snapshot
Weighting Passages Enhances Accuracy
inferredcites →https://doi.org/10.1145/3477495.3531856openalex-snapshot
BERT-based Dense Intra-ranking and Contextualized Late Interaction via Multi-task Learning for Long Document Retrieval
inferredcites →https://doi.org/10.1145/3600088openalex-snapshot
PARADE: Passage Representation Aggregation forDocument Reranking
inferredcites →https://doi.org/10.1561/1500000019openalex-snapshot
The Probabilistic Relevance Framework: BM25 and Beyond
inferredcites →https://doi.org/10.1609/aaai.v30i1.10341openalex-snapshot
Text Matching as Image Recognition
inferredcites →https://doi.org/10.1609/aaai.v33i01.33015676openalex-snapshot
Balanced Sparsity for Efficient DNN Inference on GPU
inferredcites →https://doi.org/10.18653/v1/2020.emnlp-main.19openalex-snapshot
ETC: Encoding Long and Structured Inputs in Transformers
inferredcites →https://doi.org/10.18653/v1/2020.findings-emnlp.412openalex-snapshot
Long Document Ranking with Query-Directed Sparse Transformer
inferredcites →https://doi.org/10.18653/v1/2021.emnlp-mainopenalex-snapshot
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing
inferredcites →https://doi.org/10.18653/v1/d17-1openalex-snapshot
Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing
inferredcites →https://doi.org/10.18653/v1/d17-1110openalex-snapshot
PACRR: A Position-Aware Neural IR Model for Relevance Matching
inferredcites →https://doi.org/10.18653/v1/d18-1259openalex-snapshot
HotpotQA: A Dataset for Diverse, Explainable Multi-hop Question Answering
inferredcites →https://doi.org/10.18653/v1/d18-1478openalex-snapshot
NPRF: A Neural Pseudo Relevance Feedback Framework for Ad-hoc Information Retrieval
inferredcites →https://doi.org/10.18653/v1/d19-1openalex-snapshot
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP)
inferredcites →https://doi.org/10.18653/v1/d19-1410openalex-snapshot
Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks
inferredcites →https://doi.org/10.18653/v1/n19-1423openalex-snapshot
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
inferredcites →https://doi.org/10.18653/v1/p19-1285openalex-snapshot
Transformer-XL: Attentive Language Models beyond a Fixed-Length Context
inferredcites →https://doi.org/10.18653/v1/w18-5501openalex-snapshot
The Fact Extraction and VERification (FEVER) Shared Task
inferredcites →https://doi.org/10.2200/s00348ed1v01y201104hlt012openalex-snapshot
Learning to Rank for Information Retrieval and Natural Language Processing
inferredcites →https://doi.org/10.2307/417141openalex-snapshot
WordNet: An electronic lexical database . Ed. by Christiane Fellbaum. Cambridge, MA: MIT Press, 1998. Pp. xxii, 423.
inferredcites →https://doi.org/10.3115/v1/d14-1162openalex-snapshot
Glove: Global Vectors for Word Representation
inferredcites →https://doi.org/10.3115/v1/e14-1openalex-snapshot
Proceedings of the 14th Conference of the European Chapter of the Association for Computational Linguistics
inferredcites →https://doi.org/10.4230/lipics.cosit.2022.18openalex-snapshot
AI-Assisted Pipeline for Dynamic Generation of Trustworthy Health Supplement Content at Scale
inferredcites →https://doi.org/10.4230/lipics.cp.2025.31openalex-snapshot
HISTORIAE, History of Socio-Cultural Transformation as Linguistic Data Science. A Humanities Use Case
inferredcites →https://doi.org/10.4230/lipics.giscience.2025.5openalex-snapshot
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inferredcites →https://doi.org/10.4230/lipics.itp.2023.19openalex-snapshot
Exploiting Generative AI to Scale up Intelligent Tutoring Systems
inferredcites →https://doi.org/10.48550/arxiv.1201.0490openalex-snapshot
Scikit-learn: Machine Learning in Python
inferredcites →https://doi.org/10.48550/arxiv.1306.2597openalex-snapshot
Introducing LETOR 4.0 Datasets
inferredcites →https://doi.org/10.48550/arxiv.1310.4546openalex-snapshot
Distributed Representations of Words and Phrases and their Compositionality
inferredcites →https://doi.org/10.48550/arxiv.1503.03244openalex-snapshot
Convolutional Neural Network Architectures for Matching Natural Language Sentences
inferredcites →https://doi.org/10.48550/arxiv.1604.04378openalex-snapshot
Match-SRNN: Modeling the Recursive Matching Structure with Spatial RNN
inferredcites →https://doi.org/10.48550/arxiv.1706.03762openalex-snapshot
Attention Is All You Need
inferredcites →https://doi.org/10.48550/arxiv.1710.03740openalex-snapshot
Mixed Precision Training
inferredcites →https://doi.org/10.48550/arxiv.1802.04799openalex-snapshot
TVM: An Automated End-to-End Optimizing Compiler for Deep Learning
inferredcites →https://doi.org/10.48550/arxiv.1807.03748openalex-snapshot
Representation Learning with Contrastive Predictive Coding
inferredcites →https://doi.org/10.48550/arxiv.1901.04085openalex-snapshot
Passage Re-ranking with BERT
inferredcites →https://doi.org/10.48550/arxiv.1904.10509openalex-snapshot
Generating Long Sequences with Sparse Transformers
inferredcites →https://doi.org/10.48550/arxiv.1910.03771openalex-snapshot
HuggingFace's Transformers: State-of-the-art Natural Language Processing
inferredcites →https://doi.org/10.48550/arxiv.2003.07820openalex-snapshot
Overview of the TREC 2019 deep learning track
inferredcites →https://doi.org/10.48550/arxiv.2004.05150openalex-snapshot
Longformer: The Long-Document Transformer
inferredcites →https://doi.org/10.48550/arxiv.2007.14062openalex-snapshot
Big Bird: Transformers for Longer Sequences
inferredcites →https://doi.org/10.48550/arxiv.2008.09093openalex-snapshot
PARADE: Passage Representation Aggregation for Document Reranking
inferredcites →https://doi.org/10.48550/arxiv.2010.12523openalex-snapshot
Neural Passage Retrieval with Improved Negative Contrast
inferredcites →https://doi.org/10.48550/arxiv.2102.07662openalex-snapshot
Overview of the TREC 2020 deep learning track
inferredcites →https://doi.org/10.48550/arxiv.2105.09816openalex-snapshot
Intra-Document Cascading: Learning to Select Passages for Neural Document Ranking
inferredcites →https://doi.org/10.5281/zenodo.17575540openalex-snapshot
Neuromodulatory Control Networks (NCNs): A Biologically Inspired Architecture for Dynamic LLM Processing
inferredcites →https://doi.org/10.5555/1953048.2078195openalex-snapshot
Scikit-learn: Machine Learning in Python
inferredcites →https://doi.org/10.7551/mitpress/7287.001.0001openalex-snapshot
WordNet

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.2139/ssrn.4770305openalex-extracted
Esdnn: Efficient Smoothing-Based Deep Neural Network for Text Information Retrieval
inferred← citeshttps://doi.org/10.1007/978-3-031-77850-6_5openalex-snapshot
DUNKS: Chunking and Summarizing Large and Heterogeneous Data for Dataset Search
inferred← citeshttps://doi.org/10.1007/s10115-024-02205-4openalex-snapshot
Long short-term search session-based document re-ranking model
inferred← citeshttps://doi.org/10.1007/s10506-025-09500-7openalex-snapshot
Enhancing Chinese similar case retrieval based on key-fact and multi-legal-element joint augmentation
inferred← citeshttps://doi.org/10.1016/j.engappai.2024.108231openalex-snapshot
Neural natural language processing for long texts: A survey on classification and summarization
inferred← citeshttps://doi.org/10.1109/access.2023.3289820openalex-snapshot
A Topicality Relevance-Aware Intent Model for Web Search
inferred← citeshttps://doi.org/10.1109/acdsa67686.2026.11468097openalex-snapshot
Supporting Software Engineering Tasks with Agentic AI: Demonstration on Document Retrieval and Test Scenario Generation
inferred← citeshttps://doi.org/10.1109/jcdl57899.2023.00012openalex-snapshot
Integrated Digital Library System for Long Documents and their Elements
inferred← citeshttps://doi.org/10.1145/3609796openalex-snapshot
Incorporating Structural Information into Legal Case Retrieval
inferred← citeshttps://doi.org/10.1145/3631938openalex-snapshot
Retrieval for Extremely Long Queries and Documents with RPRS: A Highly Efficient and Effective Transformer-based Re-Ranker
inferred← citeshttps://doi.org/10.1145/3631939openalex-snapshot
Efficient Neural Ranking Using Forward Indexes and Lightweight Encoders
inferred← citeshttps://doi.org/10.1145/3634911openalex-snapshot
Data Augmentation for Sample Efficient and Robust Document Ranking
inferred← citeshttps://doi.org/10.1145/3849382openalex-snapshot
A Survey of Long-Document Retrieval in the PLM and LLM Era
inferred← citeshttps://doi.org/10.18653/v1/2022.emnlp-main.681openalex-snapshot
A Simple Contrastive Learning Framework for Interactive Argument Pair Identification via Argument-Context Extraction
inferred← citeshttps://doi.org/10.70675/b7c1a41fz0808z4c09zac20z6c9e21586cb0openalex-snapshot
Adapting Deep Neural Information Retrieval Models to Long Documents and New Domains
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