SOTAVerified

Ad-Hoc Information Retrieval

Ad-hoc information retrieval refers to the task of returning information resources related to a user query formulated in natural language.

Papers

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Showing 1–41 of 41 papers

TitleStatusHype
Evaluating Generative Ad Hoc Information Retrieval—0
Finding the Law: Enhancing Statutory Article Retrieval via Graph Neural NetworksCode1
Disentangled Modeling of Domain and Relevance for Adaptable Dense RetrievalCode1
Injecting Domain Adaptation with Learning-to-hash for Effective and Efficient Zero-shot Dense RetrievalCode1
A data-driven strategy to combine word embeddings in information retrieval—0
Neural document expansion for ad-hoc information retrieval—0
Event-Driven Query ExpansionCode0
A White Box Analysis of ColBERT—0
PARADE: Passage Representation Aggregation for Document RerankingCode1
Multi-Stage Conversational Passage Retrieval: An Approach to Fusing Term Importance Estimation and Neural Query Rewriting—0
Document Ranking with a Pretrained Sequence-to-Sequence ModelCode1
Teaching a New Dog Old Tricks: Resurrecting Multilingual Retrieval Using Zero-shot LearningCode0
WIKIR: A Python toolkit for building a large-scale Wikipedia-based English Information Retrieval DatasetCode0
A Self-Attentive model for Knowledge TracingCode0
Deeper Text Understanding for IR with Contextual Neural Language ModelingCode0
CEDR: Contextualized Embeddings for Document RankingCode0
Investigating Retrieval Method Selection with Axiomatic Features—0
Simple Applications of BERT for Ad Hoc Document RetrievalCode0
Joint Optimization of Cascade Ranking ModelsCode0
The Neural Hype and Comparisons Against Weak BaselinesCode2
DeepTileBars: Visualizing Term Distribution for Neural Information RetrievalCode0
NPRF: A Neural Pseudo Relevance Feedback Framework for Ad-hoc Information RetrievalCode0
From Neural Re-Ranking to Neural Ranking: Learning a Sparse Representation for Inverted IndexingCode0
Deep Relevance Ranking Using Enhanced Document-Query InteractionsCode0
A Deep Relevance Matching Model for Ad-hoc RetrievalCode0
Fidelity-Weighted Learning—0
MatchZoo: A Toolkit for Deep Text MatchingCode0
Topical Coherence in LDA-based Models through Induced SegmentationCode0
Co-PACRR: A Context-Aware Neural IR Model for Ad-hoc RetrievalCode0
DE-PACRR: Exploring Layers Inside the PACRR Model—0
End-to-End Neural Ad-hoc Ranking with Kernel PoolingCode0
IRGAN: A Minimax Game for Unifying Generative and Discriminative Information Retrieval ModelsCode0
Neural Ranking Models with Weak SupervisionCode0
PACRR: A Position-Aware Neural IR Model for Relevance MatchingCode0
GoWvis: A Web Application for Graph-of-Words-based Text Visualization and Summarization—0
Toward a Deep Neural Approach for Knowledge-Based IR—0
Query Expansion with Locally-Trained Word Embeddings—0
Text Matching as Image RecognitionCode1
Cumulative Progress in Language Models for Information Retrieval—0
Are Semantically Coherent Topic Models Useful for Ad Hoc Information Retrieval?—0
Feature-Based Selection of Dependency Paths in Ad Hoc Information Retrieval—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1monoT5-3B (zero-shot)nDCG@200.61—Unverified
2PARADE(ELECTRA)nDCG@200.54—Unverified
3CEDR-KNRMnDCG@200.54—Unverified
4PARADE(BERT)nDCG@200.53—Unverified
5BERT-MaxPnDCG@200.47—Unverified
6BERT-SumPnDCG@200.47—Unverified
7POSIT-DRMM-MVnDCG@200.46—Unverified
8Vanilla BERTnDCG@200.45—Unverified
9NPRF-DRMMnDCG@200.45—Unverified
10PACRRnDCG@200.45—Unverified