SOTAVerified

Retrieval

A methodology that involves selecting relevant data or examples from a large dataset to support tasks like prediction, learning, or inference. It enhances models by providing context or additional information, often used in systems like retrieval-augmented generation or in-context learning.

Papers

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Showing 11601–11650 of 14297 papers

TitleStatusHype
On the Reliability of Test Collections for Evaluating Systems of Different Types—0
On the Relationship Between Visual Attributes and Convolutional Networks—0
Segmentation for Domain Adaptation in Arabic—0
Segment Augmentation and Differentiable Ranking for Logo Retrieval—0
Segment-based fusion of multi-sensor multi-scale satellite soil moisture retrievals—0
Segmenting Subtitles for Correcting ASR Segmentation Errors—0
SEINE: SEgment-based Indexing for NEural information retrieval—0
Sejarah dan Perkembangan Teknik Natural Language Processing (NLP) Bahasa Indonesia: Tinjauan tentang sejarah, perkembangan teknologi, dan aplikasi NLP dalam bahasa Indonesia—0
Probing Representations Learned by Multimodal Recurrent and Transformer Models—0
Understanding Ranking LLMs: A Mechanistic Analysis for Information Retrieval—0
Select2Plan: Training-Free ICL-Based Planning through VQA and Memory Retrieval—0
Select and Augment: Enhanced Dense Retrieval Knowledge Graph Augmentation—0
Selecting Relevant Web Trained Concepts for Automated Event Retrieval—0
Selecting the suitable resampling strategy for imbalanced data classification regarding dataset properties—0
Selecting which Dense Retriever to use for Zero-Shot Search—0
Selection of Filters for Photonic Crystal Spectrometer Using Domain-Aware Evolutionary Algorithms—0
Probing-RAG: Self-Probing to Guide Language Models in Selective Document Retrieval—0
Probing Pretrained Language Models with Hierarchy Properties—0
ViLEM: Visual-Language Error Modeling for Image-Text Retrieval—0
Selective Demonstration Retrieval for Improved Implicit Hate Speech Detection—0
Selective Encryption using Segmentation Mask with Chaotic Henon Map for Multidimensional Medical Images—0
Probing Inter-modality: Visual Parsing with Self-Attention for Vision-Language Pre-training—0
Selective Query Processing: a Risk-Sensitive Selection of System Configurations—0
Probing Causality Manipulation of Large Language Models—0
On the Metric Properties of IR Evaluation Measures Based on Ranking Axioms—0
VilNMN: A Neural Module Network approach to Video-Grounded Language Tasks—0
Self-Attention and Ingredient-Attention Based Model for Recipe Retrieval from Image Queries—0
Self-attention Comparison Module for Boosting Performance on Retrieval-based Open-Domain Dialog Systems—0
Self-Attentive Document Interaction Networks for Permutation Equivariant Ranking—0
On the Merging of Domain-Specific Heterogeneous Ontologies using Wordnet and Web Pattern-based Queries—0
Self-DC: When to Reason and When to Act? Self Divide-and-Conquer for Compositional Unknown Questions—0
Self-distilled Dynamic Fusion Network for Language-based Fashion Retrieval—0
ProbFuse: A Probabilistic Approach to Data Fusion—0
Vi-MIX FOR SELF-SUPERVISED VIDEO REPRESENTATION—0
SelfEvolve: A Code Evolution Framework via Large Language Models—0
Large Language Models are In-context Teachers for Knowledge Reasoning—0
Self-Knowledge Guided Retrieval Augmentation for Large Language Models—0
Self-localization from Images with Small Overlap—0
Self-localization Using Visual Experience Across Domains—0
Probabilistic Vehicle Reconstruction Using a Multi-Task CNN—0
Probabilistic Semantic Retrieval for Surveillance Videos with Activity Graphs—0
Probabilistic Representations for Video Contrastive Learning—0
On the interplay between physical and content priors in deep learning for computational imaging—0
Self-supervised and Weakly Supervised Contrastive Learning for Frame-wise Action Representations—0
Self-supervised Answer Retrieval on Clinical Notes—0
Probabilistic Multimodal Representation Learning—0
Self-supervised Auxiliary Loss for Metric Learning in Music Similarity-based Retrieval and Auto-tagging—0
Self-Supervised Consistent Quantization for Fully Unsupervised Image Retrieval—0
On the Information Leakage in Private Information Retrieval Systems—0
On the Importance of Text Preprocessing for Multimodal Representation Learning and Pathology Report Generation—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1BM25SQueries per second183.53—Unverified
2ElasticsearchQueries per second21.8—Unverified
3BM25-PTQueries per second6.49—Unverified
4Rank-BM25Queries per second1.18—Unverified
#ModelMetricClaimedVerifiedStatus
1BM25SQueries per second20.88—Unverified
2ElasticsearchQueries per second7.11—Unverified
3Rank-BM25Queries per second0.04—Unverified
#ModelMetricClaimedVerifiedStatus
1BM25SQueries per second41.85—Unverified
2ElasticsearchQueries per second12.16—Unverified
3Rank-BM25Queries per second0.1—Unverified
#ModelMetricClaimedVerifiedStatus
1FLMRRecall@589.32—Unverified
2RA-VQARecall@582.84—Unverified
#ModelMetricClaimedVerifiedStatus
1PreFLMRRecall@562.1—Unverified
#ModelMetricClaimedVerifiedStatus
1CLIP-KIStext-to-video Mean Rank30—Unverified
#ModelMetricClaimedVerifiedStatus
1CLIP4OutfitRecall@57.59—Unverified
#ModelMetricClaimedVerifiedStatus
1MetaGen Blended RAGAccuracy (Top-1)82.1—Unverified
#ModelMetricClaimedVerifiedStatus
1MetaGen Blended RAGAccuracy (Top-1)82.1—Unverified
#ModelMetricClaimedVerifiedStatus
1COLTCOMP@84.55—Unverified
#ModelMetricClaimedVerifiedStatus
1hello0L1,121,222—Unverified