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 51–100 of 168 papers

TitleStatusHype
High Recall, Small Data: The Challenges of Within-System Evaluation in a Live Legal Search System—0
Measuring Bias in a Ranked List using Term-based Representations—0
Query Augmentation by Decoding Semantics from Brain SignalsCode0
Explain then Rank: Scale Calibration of Neural Rankers Using Natural Language Explanations from LLMsCode0
Recency Ranking by Diversification of Result Set—0
Data Augmentation for Sample Efficient and Robust Document Ranking—0
Evaluating Generative Ad Hoc Information Retrieval—0
Personalized Search Via Neural Contextual Semantic Relevance Ranking—0
Context Aware Query Rewriting for Text Rankers using LLM—0
Hybrid Retrieval and Multi-stage Text Ranking Solution at TREC 2022 Deep Learning Track—0
GRM: Generative Relevance Modeling Using Relevance-Aware Sample Estimation for Document Retrieval—0
Fusion-in-T5: Unifying Document Ranking Signals for Improved Information RetrievalCode0
Generative and Pseudo-Relevant Feedback for Sparse, Dense and Learned Sparse Retrieval—0
A Static Pruning Study on Sparse Neural Retrievers—0
Noise-Robust Dense Retrieval via Contrastive Alignment Post Training—0
CREDENCE: Counterfactual Explanations for Document Ranking—0
An Empirical Study of Uniform-Architecture Knowledge Distillation in Document Ranking—0
Improving Cross-lingual Information Retrieval on Low-Resource Languages via Optimal Transport Distillation—0
Neural Rankers for Effective Screening Prioritisation in Medical Systematic Review Literature Search—0
Explainability of Text Processing and Retrieval Methods: A Critical Survey—0
LEAD: Liberal Feature-based Distillation for Dense Retrieval—0
Principled Multi-Aspect Evaluation Measures of RankingsCode0
Query-Specific Knowledge Graphs for Complex Finance Topics—0
Enhancing User Behavior Sequence Modeling by Generative Tasks for Session SearchCode0
Supervised Contrastive Learning Approach for Contextual Ranking—0
Exploring the Value of Multi-View Learning for Session-Aware Query Representation—0
BERT Rankers are Brittle: a Study using Adversarial Document PerturbationsCode0
Interactive Query Clarification and Refinement via User Simulation—0
PRADA: Practical Black-Box Adversarial Attacks against Neural Ranking Models—0
Information retrieval for label noise document ranking by bag sampling and group-wise loss—0
Socialformer: Social Network Inspired Long Document Modeling for Document RankingCode0
Transfer Learning Approaches for Building Cross-Language Dense Retrieval Models—0
Exploring the Value of Multi-View Learning for Session-Aware Query Representation—0
Towards Reducing Manual Workload in Technology-Assisted Reviews: Estimating Ranking Performance—0
Mirror Matching: Document Matching Approach in Seed-driven Document Ranking for Medical Systematic Reviews—0
Seed-driven Document Ranking for Systematic Reviews: A Reproducibility StudyCode0
Cross-Lingual Training of Dense Retrievers for Document Retrieval—0
Enhancing Document Ranking with Task-adaptive Training and Segmented Token Recovery Mechanism—0
Learning to Rank in the Age of Muppets: Effectiveness–Efficiency Tradeoffs in Multi-Stage Ranking—0
YES SIR!Optimizing Semantic Space of Negatives with Self-Involvement Ranker—0
Mixed Attention Transformer for Leveraging Word-Level Knowledge to Neural Cross-Lingual Information Retrieval—0
Cross-Lingual Training with Dense Retrieval for Document Retrieval—0
Deep Natural Language Processing for LinkedIn Search—0
TPRM: A Topic-based Personalized Ranking Model for Web Search—0
Modeling Relevance Ranking under the Pre-training and Fine-tuning Paradigm—0
Dynamic Facet Selection by Maximizing Graded RelevanceCode0
In-Batch Negatives for Knowledge Distillation with Tightly-Coupled Teachers for Dense Retrieval—0
Extractive Explanations for Interpretable Text RankingCode0
Towards Axiomatic Explanations for Neural Ranking Models—0
Improving Transformer-Kernel Ranking Model Using Conformer and Query Term Independence—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