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 1576–1600 of 14297 papers

TitleStatusHype
Data Curation Alone Can Stabilize In-context LearningCode1
When Not to Trust Language Models: Investigating Effectiveness of Parametric and Non-Parametric MemoriesCode1
SESCORE2: Learning Text Generation Evaluation via Synthesizing Realistic MistakesCode1
Query-as-context Pre-training for Dense Passage RetrievalCode1
Position-guided Text Prompt for Vision-Language Pre-trainingCode1
Can Retriever-Augmented Language Models Reason? The Blame Game Between the Retriever and the Language ModelCode1
Attentive Mask CLIPCode1
Self-Prompting Large Language Models for Zero-Shot Open-Domain QACode1
Enhancing Multi-modal and Multi-hop Question Answering via Structured Knowledge and Unified Retrieval-GenerationCode1
MAViL: Masked Audio-Video LearnersCode1
Unsupervised Object Localization: Observing the Background to Discover ObjectsCode1
FlexiViT: One Model for All Patch SizesCode1
Benchmarking Robustness of Multimodal Image-Text Models under Distribution ShiftCode1
EgoLoc: Revisiting 3D Object Localization from Egocentric Videos with Visual QueriesCode1
Reproducible scaling laws for contrastive language-image learningCode1
LidarCLIP or: How I Learned to Talk to Point CloudsCode1
CREPE: Can Vision-Language Foundation Models Reason Compositionally?Code1
In Defense of Cross-Encoders for Zero-Shot RetrievalCode1
VindLU: A Recipe for Effective Video-and-Language PretrainingCode1
Vision and Structured-Language Pretraining for Cross-Modal Food RetrievalCode1
DialogCC: An Automated Pipeline for Creating High-Quality Multi-Modal Dialogue DatasetCode1
FineDance: A Fine-grained Choreography Dataset for 3D Full Body Dance GenerationCode1
A Differentiable Semantic Metric Approximation in Probabilistic Embedding for Cross-Modal RetrievalCode1
Neural Machine Translation with Contrastive Translation MemoriesCode1
Hierarchical Contrast for Unsupervised Skeleton-based Action Representation LearningCode1
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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