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 13511400 of 14297 papers

TitleStatusHype
Coming Down to Earth: Satellite-to-Street View Synthesis for Geo-LocalizationCode1
ComFact: A Benchmark for Linking Contextual Commonsense KnowledgeCode1
ARTEMIS: Attention-based Retrieval with Text-Explicit Matching and Implicit SimilarityCode1
Goodtriever: Adaptive Toxicity Mitigation with Retrieval-augmented ModelsCode1
Few-Shot Generative Conversational Query RewritingCode1
Few-Shot Recognition via Stage-Wise Retrieval-Augmented FinetuningCode1
CompAct: Compressing Retrieved Documents Actively for Question AnsweringCode1
CompanyKG: A Large-Scale Heterogeneous Graph for Company Similarity QuantificationCode1
CascadER: Cross-Modal Cascading for Knowledge Graph Link PredictionCode1
Complex Claim Verification with Evidence Retrieved in the WildCode1
Align and Prompt: Video-and-Language Pre-training with Entity PromptsCode1
Complex Knowledge Base Question Answering: A SurveyCode1
Cascaded Multilingual Audio-Visual Learning from VideosCode1
Few-Shot Bot: Prompt-Based Learning for Dialogue SystemsCode1
Composed Image Retrieval for Training-Free Domain ConversionCode1
Composed Image Retrieval using Contrastive Learning and Task-oriented CLIP-based FeaturesCode1
Composing Text and Image for Image Retrieval - An Empirical OdysseyCode1
Composite Sketch+Text Queries for Retrieving Objects with Elusive Names and Complex InteractionsCode1
AMES: Asymmetric and Memory-Efficient Similarity Estimation for Instance-level RetrievalCode1
FETA: Towards Specializing Foundation Models for Expert Task ApplicationsCode1
AdaCQR: Enhancing Query Reformulation for Conversational Search via Sparse and Dense Retrieval AlignmentCode1
Few-Shot Conversational Dense RetrievalCode1
Compositional Learning of Image-Text Query for Image RetrievalCode1
Graph Convolution for Re-ranking in Person Re-identificationCode1
CARE: a Benchmark Suite for the Classification and Retrieval of EnzymesCode1
A Rotation-Invariant Framework for Deep Point Cloud AnalysisCode1
Federated Self-supervised Learning for Video UnderstandingCode1
Data Curation Alone Can Stabilize In-context LearningCode1
CONCRETE: Improving Cross-lingual Fact-checking with Cross-lingual RetrievalCode1
A Survey of Multimodal Composite Editing and RetrievalCode1
Enhancing Recipe Retrieval with Foundation Models: A Data Augmentation PerspectiveCode1
Federated Recommendation via Hybrid Retrieval Augmented GenerationCode1
Feature Re-Learning with Data Augmentation for Video Relevance PredictionCode1
Condensed Movies: Story Based Retrieval with Contextual EmbeddingsCode1
Conditioned and Composed Image Retrieval Combining and Partially Fine-Tuning CLIP-Based FeaturesCode1
CONFLARE: CONFormal LArge language model REtrievalCode1
Conformer-Kernel with Query Term Independence for Document RetrievalCode1
Connecting the Dots between Audio and Text without Parallel Data through Visual Knowledge TransferCode1
Connecting Language and Vision for Natural Language-Based Vehicle RetrievalCode1
GuP: Fast Subgraph Matching by Guard-based PruningCode1
Feature Representation Learning for Unsupervised Cross-domain Image RetrievalCode1
CONQUER: Contextual Query-aware Ranking for Video Corpus Moment RetrievalCode1
AlignRAG: Leveraging Critique Learning for Evidence-Sensitive Retrieval-Augmented ReasoningCode1
Progressive Correspondence Pruning by Consensus LearningCode1
1st Place Solution to Google Landmark Retrieval 2020Code1
Consistency Guided Knowledge Retrieval and Denoising in LLMs for Zero-shot Document-level Relation Triplet ExtractionCode1
Constructing Multi-Modal Dialogue Dataset by Replacing Text with Semantically Relevant ImagesCode1
Constructing Tree-based Index for Efficient and Effective Dense RetrievalCode1
FedCMR: Federated Cross-Modal RetrievalCode1
FELM: Benchmarking Factuality Evaluation of Large Language ModelsCode1
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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