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 11–20 of 41 papers

TitleStatusHype
Neural document expansion for ad-hoc information retrieval—0
Fidelity-Weighted Learning—0
A data-driven strategy to combine word embeddings in information retrieval—0
GoWvis: A Web Application for Graph-of-Words-based Text Visualization and Summarization—0
Evaluating Generative Ad Hoc Information Retrieval—0
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
Investigating Retrieval Method Selection with Axiomatic Features—0
Query Expansion with Locally-Trained Word Embeddings—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