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 4176–4200 of 14297 papers

TitleStatusHype
Combining a Context Aware Neural Network with a Denoising Autoencoder for Measuring String SimilaritiesCode0
Improving Deep Representation Learning via Auxiliary Learnable Target CodingCode0
Combating Ambiguity for Hash-code Learning in Medical Instance RetrievalCode0
Improving Biomedical Entity Linking with Retrieval-enhanced LearningCode0
Improving Automatic Source Code Summarization via Deep Reinforcement LearningCode0
Improved Learned Sparse Retrieval with Corpus-Specific VocabulariesCode0
Improving Collaborative Metric Learning with Efficient Negative SamplingCode0
Improved Embeddings with Easy Positive Triplet MiningCode0
Impression-CLIP: Contrastive Shape-Impression Embedding for FontsCode0
Implicit Feedback for Dense Passage Retrieval: A Counterfactual ApproachCode0
You Only Use Reactive Attention Slice For Long Context RetrievalCode0
ImpliRet: Benchmarking the Implicit Fact Retrieval ChallengeCode0
Improving Health Question Answering with Reliable and Time-Aware Evidence RetrievalCode0
Improving Segmentation for Technical Support ProblemsCode0
AIstorian lets AI be a historian: A KG-powered multi-agent system for accurate biography generationCode0
Image-to-image translation for cross-domain disentanglementCode0
Collective Relevance Labeling for Passage RetrievalCode0
A bagging SVM to learn from positive and unlabeled examplesCode0
Image Super-resolution via Feature-augmented Random ForestCode0
Image-to-Image Retrieval by Learning Similarity between Scene GraphsCode0
Ask the Right Questions: Active Question Reformulation with Reinforcement LearningCode0
ImageRef-VL: Enabling Contextual Image Referencing in Vision-Language ModelsCode0
Ask, Retrieve, Summarize: A Modular Pipeline for Scientific Literature SummarizationCode0
Image Hashing by Minimizing Discrete Component-wise Wasserstein DistanceCode0
ActBERT: Learning Global-Local Video-Text RepresentationsCode0
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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