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

Showing 110 of 41 papers

TitleStatusHype
The Neural Hype and Comparisons Against Weak BaselinesCode2
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
Text Matching as Image RecognitionCode1
Document Ranking with a Pretrained Sequence-to-Sequence ModelCode1
PARADE: Passage Representation Aggregation for Document RerankingCode1
Finding the Law: Enhancing Statutory Article Retrieval via Graph Neural NetworksCode1
Co-PACRR: A Context-Aware Neural IR Model for Ad-hoc RetrievalCode0
A Deep Relevance Matching Model for Ad-hoc RetrievalCode0
Deep Relevance Ranking Using Enhanced Document-Query InteractionsCode0
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Benchmark Results

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