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 851–900 of 14297 papers

TitleStatusHype
Adaptive Re-Ranking with a Corpus GraphCode1
Deep metric learning using Triplet networkCode1
Deep Unsupervised Image Hashing by Maximizing Bit EntropyCode1
EAGER: Two-Stream Generative Recommender with Behavior-Semantic CollaborationCode1
Accounting for Input Noise in Gaussian Process Parameter RetrievalCode1
ECLIPSE: Efficient Long-range Video Retrieval using Sight and SoundCode1
An Approach to Ensure Fairness in News ArticlesCode1
EDIN: An End-to-end Benchmark and Pipeline for Unknown Entity Discovery and IndexingCode1
The Future is Sparse: Embedding Compression for Scalable Retrieval in Recommender SystemsCode1
Effective Conditioned and Composed Image Retrieval Combining CLIP-Based FeaturesCode1
Efficient Adaptive Human-Object Interaction Detection with Concept-guided MemoryCode1
Efficient and Discriminative Image Feature Extraction for Universal Image RetrievalCode1
Dense X Retrieval: What Retrieval Granularity Should We Use?Code1
An overview on the evaluated video retrieval tasks at TRECVID 2022Code1
Accurate 3-DoF Camera Geo-Localization via Ground-to-Satellite Image MatchingCode1
Deep Declarative Dynamic Time Warping for End-to-End Learning of Alignment PathsCode1
Efficiently predicting high resolution mass spectra with graph neural networksCode1
Deep Complex NetworksCode1
DeepEMD: Differentiable Earth Mover's Distance for Few-Shot LearningCode1
Efficient Medical Vision-Language Alignment Through Adapting Masked Vision ModelsCode1
Decouple knowledge from parameters for plug-and-play language modelingCode1
Efficient Passage Retrieval with Hashing for Open-domain Question AnsweringCode1
Decoupling Strategy and Generation in Negotiation DialoguesCode1
Deeper Convolutional Neural Networks and Broad Augmentation Policies Improve Performance in Musical Key EstimationCode1
Text Proxy: Decomposing Retrieval from a 1-to-N Relationship into N 1-to-1 Relationships for Text-Video RetrievalCode1
Deconfounded Video Moment Retrieval with Causal InterventionCode1
EgoCVR: An Egocentric Benchmark for Fine-Grained Composed Video RetrievalCode1
EHRSQL: A Practical Text-to-SQL Benchmark for Electronic Health RecordsCode1
An efficient aggregation method for the symbolic representation of temporal dataCode1
Embed2Detect: Temporally Clustered Embedded Words for Event Detection in Social MediaCode1
A Deep Local and Global Scene-Graph Matching for Image-Text RetrievalCode1
Embedding-based Zero-shot Retrieval through Query GenerationCode1
A Multi-Granularity-Aware Aspect Learning Model for Multi-Aspect Dense RetrievalCode1
Decomposed Prompting: A Modular Approach for Solving Complex TasksCode1
An efficient graph generative model for navigating ultra-large combinatorial synthesis librariesCode1
Empowering Retrieval-based Conversational Recommendation with Contrasting User PreferencesCode1
Answering Complex Open-Domain Questions with Multi-Hop Dense RetrievalCode1
An Efficient Memory-Augmented Transformer for Knowledge-Intensive NLP TasksCode1
A Deep Recurrent Survival Model for Unbiased RankingCode1
End-to-end Knowledge Retrieval with Multi-modal QueriesCode1
End-to-end Lyrics Alignment for Polyphonic Music Using an Audio-to-Character Recognition ModelCode1
An Empirical Comparison of Instance Attribution Methods for NLPCode1
End-to-End Query Term WeightingCode1
End-to-End Training of Multi-Document Reader and Retriever for Open-Domain Question AnsweringCode1
DeCoRe: Decoding by Contrasting Retrieval Heads to Mitigate HallucinationsCode1
Enhancing LLM Factual Accuracy with RAG to Counter Hallucinations: A Case Study on Domain-Specific Queries in Private Knowledge-BasesCode1
An Empirical Study of CLIP for Text-based Person SearchCode1
An Empirical Study of End-to-End Video-Language Transformers with Masked Visual ModelingCode1
DeeperImpact: Optimizing Sparse Learned Index StructuresCode1
DeCEMBERT: Learning from Noisy Instructional Videos via Dense Captions and Entropy MinimizationCode1
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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