SOTAVerified

Document Ranking

Sort documents according to some criterion so that the "best" results appear early in the result list displayed to the user (Source: Wikipedia).

Papers

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Showing 76–100 of 168 papers

TitleStatusHype
Modeling Relevance Ranking under the Pre-training and Fine-tuning Paradigm—0
In-Batch Negatives for Knowledge Distillation with Tightly-Coupled Teachers for Dense Retrieval—0
Dynamic Facet Selection by Maximizing Graded RelevanceCode0
Extractive Explanations for Interpretable Text RankingCode0
Towards Axiomatic Explanations for Neural Ranking Models—0
Corpus-Level Evaluation for Event QA: The IndiaPoliceEvents Corpus Covering the 2002 Gujarat ViolenceCode1
Intra-Document Cascading: Learning to Select Passages for Neural Document RankingCode1
Improving Transformer-Kernel Ranking Model Using Conformer and Query Term Independence—0
RankDistil: Knowledge Distillation for Ranking—0
On the Calibration and Uncertainty of Neural Learning to Rank Models for Conversational Search—0
An In-depth Analysis of Passage-Level Label Transfer for Contextual Document RankingCode0
A Neural Passage Model for Ad-hoc Document Retrieval—0
Improving Bi-encoder Document Ranking Models with Two Rankers and Multi-teacher DistillationCode0
Unbiased Sentence Encoder For Large-Scale Multi-lingual Search Engines—0
LRG at TREC 2020: Document Ranking with XLNet-Based Models—0
Significant Improvements over the State of the Art? A Case Study of the MS MARCO Document Ranking Leaderboard—0
Exploring Classic and Neural Lexical Translation Models for Information Retrieval: Interpretability, Effectiveness, and Efficiency BenefitsCode1
OpenMatch: An Open Source Library for Neu-IR ResearchCode1
The Expando-Mono-Duo Design Pattern for Text Ranking with Pretrained Sequence-to-Sequence ModelsCode1
On the Calibration and Uncertainty of Neural Learning to Rank ModelsCode1
Traditional IR rivals neural models on the MS MARCO Document Ranking LeaderboardCode1
Non-Linear Multiple Field Interactions Neural Document Ranking—0
Early Exiting BERT for Efficient Document RankingCode0
Cross-Lingual Training of Neural Models for Document Ranking—0
Long Document Ranking with Query-Directed Sparse TransformerCode1
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All datasetsDaReCzechClueWeb09-B

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1Query-doc RobeCzech (Roberta-base)P@1046.73—Unverified
2Query-doc Small-E-Czech (Electra-small)P@1046.3—Unverified
3Siamese Small-E-Czech (Electra-small)P@1045.26—Unverified
#ModelMetricClaimedVerifiedStatus
1XLNetERR@2020.28—Unverified