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 7451–7500 of 14297 papers

TitleStatusHype
LayoutBERT: Masked Language Layout Model for Object Insertion—0
Joint Multisided Exposure Fairness for RecommendationCode0
Leaner and Faster: Two-Stage Model Compression for Lightweight Text-Image RetrievalCode1
Privacy-Preserving Model Upgrades with Bidirectional Compatible Training in Image RetrievalCode1
CLIP-Art: Contrastive Pre-training for Fine-Grained Art ClassificationCode2
Reducing Predictive Feature Suppression in Resource-Constrained Contrastive Image-Caption RetrievalCode0
Curriculum Learning for Dense Retrieval DistillationCode1
Semantic Information Recovery in Wireless NetworksCode1
HybriDialogue: An Information-Seeking Dialogue Dataset Grounded on Tabular and Textual Data—0
Unaligned Supervision For Automatic Music Transcription in The WildCode1
Generative Multi-hop RetrievalCode1
A Thorough Examination on Zero-shot Dense Retrieval—0
Cross-Camera Trajectories Help Person Retrieval in a Camera NetworkCode0
Relevance-based Margin for Contrastively-trained Video Retrieval ModelsCode0
PLOD: An Abbreviation Detection Dataset for Scientific DocumentsCode1
MILES: Visual BERT Pre-training with Injected Language Semantics for Video-text RetrievalCode1
When do Contrastive Word Alignments Improve Many-to-many Neural Machine Translation?—0
Leveraging Unlabeled Data for Sketch-based Understanding—0
Efficient Machine Translation Domain AdaptationCode0
Information Retrieval in Friction Stir Welding of Aluminum Alloys by using Natural Language Processing based Algorithms—0
Offline Retrieval Evaluation Without Evaluation MetricsCode0
Evaluating Interpolation and Extrapolation Performance of Neural Retrieval ModelsCode1
SceneTrilogy: On Human Scene-Sketch and its Complementarity with Photo and Text—0
C3: Continued Pretraining with Contrastive Weak Supervision for Cross Language Ad-Hoc Retrieval—0
LoL: A Comparative Regularization Loss over Query Reformulation Losses for Pseudo-Relevance FeedbackCode0
Semi-Parametric Neural Image SynthesisCode6
Incorporating Explicit Knowledge in Pre-trained Language Models for Passage Re-ranking—0
Exoplanet Cartography using Convolutional Neural Networks—0
Signal Recovery with Non-Expansive Generative Network Priors—0
Memory Efficient Invertible Neural Networks for 3D Photoacoustic Imaging—0
Faster Learned Sparse Retrieval with Guided TraversalCode0
Entity-Conditioned Question Generation for Robust Attention Distribution in Neural Information RetrievalCode0
Progressive Learning for Image Retrieval with Hybrid-Modality Queries—0
RelViT: Concept-guided Vision Transformer for Visual Relational ReasoningCode1
Food Recommendations for Reducing Water FootprintCode0
On Leveraging Variational Graph Embeddings for Open World Compositional Zero-Shot Learning—0
Dual Skipping Guidance for Document Retrieval with Learned Sparse RepresentationsCode0
GRM: Gradient Rectification Module for Visual Place Retrieval—0
Training and challenging models for text-guided fashion image retrievalCode1
Zero-shot Query Contextualization for Conversational SearchCode0
Sparse and Dense Approaches for the Full-rank Retrieval of Responses for DialoguesCode1
Pre-train a Discriminative Text Encoder for Dense Retrieval via Contrastive Span PredictionCode1
Balancing Fairness and Accuracy in Sentiment Detection using Multiple Black Box ModelsCode0
Autoregressive Search Engines: Generating Substrings as Document IdentifiersCode2
A Multi-level Alignment Training Scheme for Video-and-Language Grounding—0
Counterfactual Learning To Rank for Utility-Maximizing Query Autocompletion—0
Meet Your Favorite Character: Open-domain Chatbot Mimicking Fictional Characters with only a Few UtterancesCode1
A Summary of the ALQAC 2021 Competition—0
Leveraging Deepfakes to Close the Domain Gap between Real and Synthetic Images in Facial Capture Pipelines—0
Convex Augmentation for Total Variation Based Phase Retrieval—0
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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