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 6351–6375 of 14297 papers

TitleStatusHype
A Differentiable Semantic Metric Approximation in Probabilistic Embedding for Cross-Modal RetrievalCode1
Document-Level Abstractive SummarizationCode0
Dataset vs Reality: Understanding Model Performance from the Perspective of Information Need—0
Semantic Communication for Internet of Vehicles: A Multi-User Cooperative Approach—0
LawngNLI: A Long-Premise Benchmark for In-Domain Generalization from Short to Long Contexts and for Implication-Based RetrievalCode0
Adaptive Testing of Computer Vision ModelsCode0
Semantic-Conditional Diffusion Networks for Image CaptioningCode2
Complex-valued Retrievals From Noisy Images Using Diffusion Models—0
Neural Machine Translation with Contrastive Translation MemoriesCode1
Multimodal Tree Decoder for Table of Contents Extraction in Document ImagesCode0
Self-supervised and Weakly Supervised Contrastive Learning for Frame-wise Action Representations—0
Retrieval as Attention: End-to-end Learning of Retrieval and Reading within a Single TransformerCode1
Improving Few-Shot Performance of Language Models via Nearest Neighbor Calibration—0
Hierarchical Contrast for Unsupervised Skeleton-based Action Representation LearningCode1
Melody transcription via generative pre-trainingCode2
Fast Online Hashing with Multi-Label ProjectionCode1
Named Entity and Relation Extraction with Multi-Modal Retrieval—0
A Deep Learning Architecture for Passive Microwave Precipitation Retrievals using CloudSat and GPM DataCode0
Role of Audio in Audio-Visual Video Summarization—0
Nonparametric Masked Language ModelingCode1
Information Retrieval from the Digitized Books—0
StructVPR: Distill Structural Knowledge with Weighting Samples for Visual Place Recognition—0
Masked Contrastive Pre-Training for Efficient Video-Text Retrieval—0
Single-shot ToF sensing with sub-mm precision using conventional CMOS sensors—0
Moving Beyond Downstream Task Accuracy for Information Retrieval Benchmarking—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