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 4201–4225 of 14297 papers

TitleStatusHype
ActBERT: Learning Global-Local Video-Text RepresentationsCode0
Collaborative Learning for Extremely Low Bit Asymmetric HashingCode0
Improving Biomedical Entity Linking with Retrieval-enhanced LearningCode0
Improving language models by retrieving from trillions of tokensCode0
Implicit Feedback for Dense Passage Retrieval: A Counterfactual ApproachCode0
Impact of time and note duration tokenizations on deep learning symbolic music modelingCode0
ImpliRet: Benchmarking the Implicit Fact Retrieval ChallengeCode0
Cited Text Spans for Citation Text GenerationCode0
Impression-CLIP: Contrastive Shape-Impression Embedding for FontsCode0
ColBERT Retrieval and Ensemble Response Scoring for Language Model Question AnsweringCode0
A Cross-Lingual Statutory Article Retrieval Dataset for Taiwan Legal StudiesCode0
Impact of the Query Set on the Evaluation of Expert Finding SystemsCode0
Improved Embeddings with Easy Positive Triplet MiningCode0
Asking Clarifying Questions in Open-Domain Information-Seeking ConversationsCode0
AirConcierge: Generating Task-Oriented Dialogue via Efficient Large-Scale Knowledge RetrievalCode0
Image-to-image translation for cross-domain disentanglementCode0
Coherence-Based Distributed Document Representation Learning for Scientific DocumentsCode0
Multi-Source Knowledge Pruning for Retrieval-Augmented Generation: A Benchmark and Empirical StudyCode0
AIRCADE: an Anechoic and IR Convolution-based Auralization Data-compilation EnsembleCode0
Image-to-Image Retrieval by Learning Similarity between Scene GraphsCode0
Improving Low-Resource Retrieval Effectiveness using Zero-Shot Linguistic Similarity TransferCode0
InvGC: Robust Cross-Modal Retrieval by Inverse Graph ConvolutionCode0
Large Scale Multi-Lingual Multi-Modal Summarization DatasetCode0
Image classification and retrieval with random depthwise signed convolutional neural networksCode0
Image Captioning with Deep Bidirectional LSTMsCode0
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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