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
PromptReps: Prompting Large Language Models to Generate Dense and Sparse Representations for Zero-Shot Document RetrievalCode2
A Setwise Approach for Effective and Highly Efficient Zero-shot Ranking with Large Language ModelsCode2
Understanding Performance of Long-Document Ranking Models through Comprehensive Evaluation and LeaderboardingCode2
ColBERT: Efficient and Effective Passage Search via Contextualized Late Interaction over BERTCode2
Distillation and Refinement of Reasoning in Small Language Models for Document Re-rankingCode1
RankMamba: Benchmarking Mamba's Document Ranking Performance in the Era of TransformersCode1
Open-source Large Language Models are Strong Zero-shot Query Likelihood Models for Document RankingCode1
Pretraining De-Biased Language Model with Large-scale Click Logs for Document RankingCode1
From Easy to Hard: A Dual Curriculum Learning Framework for Context-Aware Document RankingCode1
CODEC: Complex Document and Entity CollectionCode1
Long Document Re-ranking with Modular Re-rankerCode1
Siamese BERT-based Model for Web Search Relevance Ranking Evaluated on a New Czech DatasetCode1
Efficient Neural Ranking using Forward IndexesCode1
Contrastive Learning of User Behavior Sequence for Context-Aware Document RankingCode1
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
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
Long Document Ranking with Query-Directed Sparse TransformerCode1
Longformer for MS MARCO Document Re-ranking TaskCode1
Simplified TinyBERT: Knowledge Distillation for Document RetrievalCode1
PARADE: Passage Representation Aggregation for Document RerankingCode1
GLOW : Global Weighted Self-Attention Network for Web SearchCode1
Local Self-Attention over Long Text for Efficient Document RetrievalCode1
Document Ranking with a Pretrained Sequence-to-Sequence ModelCode1
TU Wien @ TREC Deep Learning '19 -- Simple Contextualization for Re-rankingCode1
Multi-Stage Document Ranking with BERTCode1
XLNet: Generalized Autoregressive Pretraining for Language UnderstandingCode1
Context Attentive Document Ranking and Query SuggestionCode1
Precise Zero-Shot Pointwise Ranking with LLMs through Post-Aggregated Global Context InformationCode0
Bridge the Gap between Past and Future: Siamese Model Optimization for Context-Aware Document Ranking—0
Beyond Retrieval: Joint Supervision and Multimodal Document Ranking for Textbook Question Answering—0
A Unified Retrieval Framework with Document Ranking and EDU Filtering for Multi-document Summarization—0
How do Large Language Models Understand Relevance? A Mechanistic Interpretability PerspectiveCode0
Beyond Reproducibility: Advancing Zero-shot LLM Reranking Efficiency with Setwise Insertion—0
Graph-Based Re-ranking: Emerging Techniques, Limitations, and Opportunities—0
On Synthetic Data Strategies for Domain-Specific Generative Retrieval—0
White Hat Search Engine Optimization using Large Language Models—0
Beyond Questions: Leveraging ColBERT for Keyphrase SearchCode0
KeyB2: Selecting Key Blocks is Also Important for Long Document Ranking with Large Language Models—0
Multi-Field Adaptive Retrieval—0
DyVo: Dynamic Vocabularies for Learned Sparse Retrieval with EntitiesCode0
Efficient Document Ranking with Learnable Late Interactions—0
Weighted KL-Divergence for Document Ranking Model Refinement—0
RE-RAG: Improving Open-Domain QA Performance and Interpretability with Relevance Estimator in Retrieval-Augmented GenerationCode0
On the Evaluation of Machine-Generated Reports—0
The Surprising Effectiveness of Rankers Trained on Expanded Queries—0
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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