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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 1–41 of 41 papers

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