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 1426–1450 of 14297 papers

TitleStatusHype
Asymmetric metric learning for knowledge transferCode1
CAR-MFL: Cross-Modal Augmentation by Retrieval for Multimodal Federated Learning with Missing ModalitiesCode1
HyKnow: End-to-End Task-Oriented Dialog Modeling with Hybrid Knowledge ManagementCode1
HyP^2 Loss: Beyond Hypersphere Metric Space for Multi-label Image RetrievalCode1
Controlling the Risk of Conversational Search via Reinforcement LearningCode1
CharacterBERT and Self-Teaching for Improving the Robustness of Dense Retrievers on Queries with TyposCode1
Enhancing Recipe Retrieval with Foundation Models: A Data Augmentation PerspectiveCode1
Asyncval: A Toolkit for Asynchronously Validating Dense Retriever Checkpoints during TrainingCode1
Conversational Fashion Image Retrieval via Multiturn Natural Language FeedbackCode1
Hyperlink-induced Pre-training for Passage Retrieval in Open-domain Question AnsweringCode1
Conversational Question Answering over Passages by Leveraging Word Proximity NetworksCode1
Conversational Word Embedding for Retrieval-Based Dialog SystemCode1
HyQE: Ranking Contexts with Hypothetical Query EmbeddingsCode1
ABO: Dataset and Benchmarks for Real-World 3D Object UnderstandingCode1
CARE: a Benchmark Suite for the Classification and Retrieval of EnzymesCode1
Corpus-Level Evaluation for Event QA: The IndiaPoliceEvents Corpus Covering the 2002 Gujarat ViolenceCode1
COUGH: A Challenge Dataset and Models for COVID-19 FAQ RetrievalCode1
Backdoor Attack on Hash-based Image Retrieval via Clean-label Data PoisoningCode1
Filtering before Iteratively Referring for Knowledge-Grounded Response Selection in Retrieval-Based ChatbotsCode1
Image Generation Diversity Issues and How to Tame ThemCode1
Image Quality Assessment: Unifying Structure and Texture SimilarityCode1
Adapting to Non-Stationary Environments: Multi-Armed Bandit Enhanced Retrieval-Augmented Generation on Knowledge GraphsCode1
Fine-Grained Image-Text Matching by Cross-Modal Hard Aligning NetworkCode1
Image Translation via Fine-grained Knowledge TransferCode1
GaitFi: Robust Device-Free Human Identification via WiFi and Vision Multimodal 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