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 1–50 of 168 papers

TitleStatusHype
ColBERT: Efficient and Effective Passage Search via Contextualized Late Interaction over BERTCode2
A Setwise Approach for Effective and Highly Efficient Zero-shot Ranking with Large Language ModelsCode2
PromptReps: Prompting Large Language Models to Generate Dense and Sparse Representations for Zero-Shot Document RetrievalCode2
Understanding Performance of Long-Document Ranking Models through Comprehensive Evaluation and LeaderboardingCode2
Efficient Neural Ranking using Forward IndexesCode1
Siamese BERT-based Model for Web Search Relevance Ranking Evaluated on a New Czech DatasetCode1
RankMamba: Benchmarking Mamba's Document Ranking Performance in the Era of TransformersCode1
Intra-Document Cascading: Learning to Select Passages for Neural Document RankingCode1
TU Wien @ TREC Deep Learning '19 -- Simple Contextualization for Re-rankingCode1
Long Document Ranking with Query-Directed Sparse TransformerCode1
Pretraining De-Biased Language Model with Large-scale Click Logs for Document RankingCode1
Exploring Classic and Neural Lexical Translation Models for Information Retrieval: Interpretability, Effectiveness, and Efficiency BenefitsCode1
Context Attentive Document Ranking and Query SuggestionCode1
PARADE: Passage Representation Aggregation for Document RerankingCode1
Traditional IR rivals neural models on the MS MARCO Document Ranking LeaderboardCode1
XLNet: Generalized Autoregressive Pretraining for Language UnderstandingCode1
Simplified TinyBERT: Knowledge Distillation for Document RetrievalCode1
From Easy to Hard: A Dual Curriculum Learning Framework for Context-Aware Document RankingCode1
GLOW : Global Weighted Self-Attention Network for Web SearchCode1
Distillation and Refinement of Reasoning in Small Language Models for Document Re-rankingCode1
Document Ranking with a Pretrained Sequence-to-Sequence ModelCode1
Long Document Re-ranking with Modular Re-rankerCode1
OpenMatch: An Open Source Library for Neu-IR ResearchCode1
Multi-Stage Document Ranking with BERTCode1
On the Calibration and Uncertainty of Neural Learning to Rank ModelsCode1
CODEC: Complex Document and Entity CollectionCode1
Local Self-Attention over Long Text for Efficient Document RetrievalCode1
Corpus-Level Evaluation for Event QA: The IndiaPoliceEvents Corpus Covering the 2002 Gujarat ViolenceCode1
Open-source Large Language Models are Strong Zero-shot Query Likelihood Models for Document RankingCode1
Contrastive Learning of User Behavior Sequence for Context-Aware Document RankingCode1
The Expando-Mono-Duo Design Pattern for Text Ranking with Pretrained Sequence-to-Sequence ModelsCode1
Longformer for MS MARCO Document Re-ranking TaskCode1
Precise Zero-Shot Pointwise Ranking with LLMs through Post-Aggregated Global Context InformationCode0
Neural Vector Spaces for Unsupervised Information RetrievalCode0
Early Exiting BERT for Efficient Document RankingCode0
Multi-Task Learning for Document Ranking and Query SuggestionCode0
Dynamic Facet Selection by Maximizing Graded RelevanceCode0
Learning deep structured semantic models for web search using clickthrough dataCode0
Learning to Match Using Local and Distributed Representations of Text for Web SearchCode0
DeepTileBars: Visualizing Term Distribution for Neural Information RetrievalCode0
IRGAN: A Minimax Game for Unifying Generative and Discriminative Information Retrieval ModelsCode0
How do Large Language Models Understand Relevance? A Mechanistic Interpretability PerspectiveCode0
Beyond Questions: Leveraging ColBERT for Keyphrase SearchCode0
Improving Bi-encoder Document Ranking Models with Two Rankers and Multi-teacher DistillationCode0
Joint Optimization of Cascade Ranking ModelsCode0
DyVo: Dynamic Vocabularies for Learned Sparse Retrieval with EntitiesCode0
Extractive Explanations for Interpretable Text RankingCode0
Fine-Grained Relevance Annotations for Multi-Task Document Ranking and Question AnsweringCode0
BERT Rankers are Brittle: a Study using Adversarial Document PerturbationsCode0
An In-depth Analysis of Passage-Level Label Transfer for Contextual Document RankingCode0
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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