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 4126–4150 of 14297 papers

TitleStatusHype
Improving Query Representations for Dense Retrieval with Pseudo Relevance Feedback: A Reproducibility StudyCode0
Improving Retrieval Augmented Open-Domain Question-Answering with Vectorized ContextsCode0
Improving the Consistency in Cross-Lingual Cross-Modal Retrieval with 1-to-K Contrastive LearningCode0
Indoor Visual Positioning Aided by CNN-Based Image Retrieval: Training-Free, 3D Modeling-FreeCode0
Improving Personality Consistency in Conversation by Persona ExtendingCode0
Active learning in annotating micro-blogs dealing with e-reputationCode0
Improving Neural Ranking Models with Traditional IR MethodsCode0
Improving Personalized Search with Regularized Low-Rank Parameter UpdatesCode0
Improving Multitask Retrieval by Promoting Task SpecializationCode0
Associative Long Short-Term MemoryCode0
A Language-based solution to enable Metaverse RetrievalCode0
Associative Knowledge Graphs for Efficient Sequence Storage and RetrievalCode0
Match-Prompt: Improving Multi-task Generalization Ability for Neural Text Matching via Prompt LearningCode0
ReFusion: Improving Natural Language Understanding with Computation-Efficient Retrieval Representation FusionCode0
Improving language models by retrieving from trillions of tokensCode0
Improving Low-Resource Retrieval Effectiveness using Zero-Shot Linguistic Similarity TransferCode0
ALADIN: Distilling Fine-grained Alignment Scores for Efficient Image-Text Matching and RetrievalCode0
Improving Information Retrieval Results for Persian Documents using FarsNetCode0
Improving Medical Multi-modal Contrastive Learning with Expert AnnotationsCode0
Comparative Evaluation of Hand-Crafted and Learned Local FeaturesCode0
Assisting the Human Fact-Checkers: Detecting All Previously Fact-Checked Claims in a DocumentCode0
Improving Health Question Answering with Reliable and Time-Aware Evidence RetrievalCode0
Improving Deep Representation Learning via Auxiliary Learnable Target CodingCode0
Improving Biomedical Entity Linking with Retrieval-enhanced LearningCode0
Improving Collaborative Metric Learning with Efficient Negative SamplingCode0
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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