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

Showing 24512475 of 14297 papers

TitleStatusHype
CrossSum: Beyond English-Centric Cross-Lingual Summarization for 1,500+ Language PairsCode1
CLIP-Lite: Information Efficient Visual Representation Learning with Language SupervisionCode1
Improved Evaluation and Generation of Grid Layouts using Distance Preservation Quality and Linear Assignment SortingCode1
Robust Adaptation of Large Multimodal Models for Retrieval Augmented Hateful Meme DetectionCode1
Cross-View Language Modeling: Towards Unified Cross-Lingual Cross-Modal Pre-trainingCode1
Improving Deep Metric Learning by Divide and ConquerCode1
Improving Efficient Neural Ranking Models with Cross-Architecture Knowledge DistillationCode1
C-STS: Conditional Semantic Textual SimilarityCode1
Data-Efficient Multimodal Fusion on a Single GPUCode1
Improving Hateful Meme Detection through Retrieval-Guided Contrastive LearningCode1
Improving Named Entity Recognition by External Context Retrieving and Cooperative LearningCode1
Improving Passage Retrieval with Zero-Shot Question GenerationCode1
AMES: Asymmetric and Memory-Efficient Similarity Estimation for Instance-level RetrievalCode1
Improving Retrieval in Theme-specific Applications using a Corpus Topical TaxonomyCode1
Improving Video-Text Retrieval by Multi-Stream Corpus Alignment and Dual Softmax LossCode1
IMRAM: Iterative Matching with Recurrent Attention Memory for Cross-Modal Image-Text RetrievalCode1
DeepPatent: Large scale patent drawing recognition and retrievalCode1
Incorporating External Knowledge through Pre-training for Natural Language to Code GenerationCode1
Incorporating Relevance Feedback for Information-Seeking Retrieval using Few-Shot Document Re-RankingCode1
In Defense of Cross-Encoders for Zero-Shot RetrievalCode1
BTR: Binary Token Representations for Efficient Retrieval Augmented Language ModelsCode1
Clover: Towards A Unified Video-Language Alignment and Fusion ModelCode1
Cross-modal Retrieval for Knowledge-based Visual Question AnsweringCode1
InfoOT: Information Maximizing Optimal TransportCode1
Cross-Modal Retrieval for Motion and Text via DopTriple LossCode1
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1BM25SQueries per second183.53Unverified
2ElasticsearchQueries per second21.8Unverified
3BM25-PTQueries per second6.49Unverified
4Rank-BM25Queries per second1.18Unverified
#ModelMetricClaimedVerifiedStatus
1BM25SQueries per second20.88Unverified
2ElasticsearchQueries per second7.11Unverified
3Rank-BM25Queries per second0.04Unverified
#ModelMetricClaimedVerifiedStatus
1BM25SQueries per second41.85Unverified
2ElasticsearchQueries per second12.16Unverified
3Rank-BM25Queries per second0.1Unverified
#ModelMetricClaimedVerifiedStatus
1FLMRRecall@589.32Unverified
2RA-VQARecall@582.84Unverified
#ModelMetricClaimedVerifiedStatus
1PreFLMRRecall@562.1Unverified
#ModelMetricClaimedVerifiedStatus
1CLIP-KIStext-to-video Mean Rank30Unverified
#ModelMetricClaimedVerifiedStatus
1CLIP4OutfitRecall@57.59Unverified
#ModelMetricClaimedVerifiedStatus
1MetaGen Blended RAGAccuracy (Top-1)82.1Unverified
#ModelMetricClaimedVerifiedStatus
1MetaGen Blended RAGAccuracy (Top-1)82.1Unverified
#ModelMetricClaimedVerifiedStatus
1COLTCOMP@84.55Unverified
#ModelMetricClaimedVerifiedStatus
1hello0L1,121,222Unverified