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 601650 of 14297 papers

TitleStatusHype
DiscoVLA: Discrepancy Reduction in Vision, Language, and Alignment for Parameter-Efficient Video-Text RetrievalCode1
Dimension Reduction for Efficient Dense Retrieval via Conditional AutoencoderCode1
DiffusionRet: Generative Text-Video Retrieval with Diffusion ModelCode1
Directional Statistics-based Deep Metric Learning for Image Classification and RetrievalCode1
Differential MambaCode1
A Molecular Multimodal Foundation Model Associating Molecule Graphs with Natural LanguageCode1
DialFact: A Benchmark for Fact-Checking in DialogueCode1
DH3D: Deep Hierarchical 3D Descriptors for Robust Large-Scale 6DoF RelocalizationCode1
DialogCC: An Automated Pipeline for Creating High-Quality Multi-Modal Dialogue DatasetCode1
DEXTER: A Benchmark for open-domain Complex Question Answering using LLMsCode1
DeVLBert: Learning Deconfounded Visio-Linguistic RepresentationsCode1
DGL: Dynamic Global-Local Prompt Tuning for Text-Video RetrievalCode1
Dialog Inpainting: Turning Documents into DialogsCode1
Detection and Retrieval of Out-of-Distribution Objects in Semantic SegmentationCode1
Detecting Moments and Highlights in Videos via Natural Language QueriesCode1
Dense X Retrieval: What Retrieval Granularity Should We Use?Code1
DebateQA: Evaluating Question Answering on Debatable KnowledgeCode1
Densifying Sparse Representations for Passage Retrieval by Representational SlicingCode1
Developing Retrieval Augmented Generation (RAG) based LLM Systems from PDFs: An Experience ReportCode1
Discriminative Nearest Neighbor Few-Shot Intent Detection by Transferring Natural Language InferenceCode1
Dense Hierarchical Retrieval for Open-Domain Question AnsweringCode1
Advancing TTP Analysis: Harnessing the Power of Large Language Models with Retrieval Augmented GenerationCode1
Dense Passage Retrieval for Open-Domain Question AnsweringCode1
Dense-Captioning Events in VideosCode1
Dense Relational Image Captioning via Multi-task Triple-Stream NetworksCode1
Deformation-Aware 3D Model Embedding and RetrievalCode1
Defending Against Social Engineering Attacks in the Age of LLMsCode1
Delaying Interaction Layers in Transformer-based Encoders for Efficient Open Domain Question AnsweringCode1
DeepTrust: A Reliable Financial Knowledge Retrieval Framework For Explaining Extreme Pricing AnomaliesCode1
Deep Triplet Hashing Network for Case-based Medical Image RetrievalCode1
Deep Unsupervised Image Hashing by Maximizing Bit EntropyCode1
Democratizing Large Language Models via Personalized Parameter-Efficient Fine-tuningCode1
DenserNet: Weakly Supervised Visual Localization Using Multi-scale Feature AggregationCode1
Advancing High-Resolution Video-Language Representation with Large-Scale Video TranscriptionsCode1
Deep Self-Supervised Representation Learning for Free-Hand SketchCode1
DeepSeqSLAM: A Trainable CNN+RNN for Joint Global Description and Sequence-based Place RecognitionCode1
2nd Place Solution to Google Landmark Retrieval 2021Code1
DeepSolution: Boosting Complex Engineering Solution Design via Tree-based Exploration and Bi-point ThinkingCode1
DeepPatent: Large scale patent drawing recognition and retrievalCode1
2nd Place and 2nd Place Solution to Kaggle Landmark Recognition andRetrieval Competition 2019Code1
Deep Reinforcement Learning with Task-Adaptive Retrieval via HypernetworkCode1
Deep Hashing Network for Unsupervised Domain AdaptationCode1
Deep metric learning using Triplet networkCode1
Deep Relational Metric LearningCode1
Stochastic Attraction-Repulsion Embedding for Large Scale Image LocalizationCode1
DISP6D: Disentangled Implicit Shape and Pose Learning for Scalable 6D Pose EstimationCode1
Deep Complex NetworksCode1
Decoupling Strategy and Generation in Negotiation DialoguesCode1
Deep Declarative Dynamic Time Warping for End-to-End Learning of Alignment PathsCode1
Decouple knowledge from parameters for plug-and-play language modelingCode1
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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