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 9501–9550 of 14297 papers

TitleStatusHype
Learning Representations by Contrasting Clusters While Bootstrapping Instances—0
Cross-Probe BERT for Efficient and Effective Cross-Modal Search—0
Deep Retrieval: An End-to-End Structure Model for Large-Scale Recommendations—0
AriEL: Volume Coding for Sentence Generation Comparisons—0
An Empirical Exploration of Open-Set Recognition via Lightweight Statistical Pipelines—0
iPTR: Learning a representation for interactive program translation retrieval—0
Grounding Physical Object and Event Concepts Through Dynamic Visual Reasoning—0
A Truly Constant-time Distribution-aware Negative Sampling—0
Learning Semantic Similarities for Prototypical Classifiers—0
Probabilistic Multimodal Representation Learning—0
Spectrally Similar Graph Pooling—0
Semantic Hashing with Locality Sensitive Embeddings—0
VilNMN: A Neural Module Network approach to Video-Grounded Language Tasks—0
UMEC: Unified model and embedding compression for efficient recommendation systems—0
Universal Sentence Representations Learning with Conditional Masked Language Model—0
Practical Phase Retrieval: Low-Photon Holography with Untrained Priors—0
CANVASEMB: Learning Layout Representation with Large-scale Pre-training for Graphic Design—0
Incremental Embedding Learning via Zero-Shot TranslationCode0
Fast Global Convergence for Low-rank Matrix Recovery via Riemannian Gradient Descent with Random Initialization—0
A Tale of Two Efficient and Informative Negative Sampling Distributions—0
HopRetriever: Retrieve Hops over Wikipedia to Answer Complex Questions—0
Seeing is Knowing! Fact-based Visual Question Answering using Knowledge Graph Embeddings—0
Joint Verification and Reranking for Open Fact Checking Over Tables—0
A Memory Efficient Baseline for Open Domain Question AnsweringCode1
Few-Shot Text Ranking with Meta Adapted Synthetic Weak SupervisionCode0
Graph-based non-linear least squares optimization for visual place recognition in changing environments—0
Image-to-Image Retrieval by Learning Similarity between Scene GraphsCode0
Deep Hashing for Secure Multimodal Biometrics—0
BURT: BERT-inspired Universal Representation from Learning Meaningful Segment—0
Universal Sentence Representation Learning with Conditional Masked Language Model—0
Pivot Through English: Reliably Answering Multilingual Questions without Document Retrieval—0
The Curse of Dense Low-Dimensional Information Retrieval for Large Index Sizes—0
PatentMatch: A Dataset for Matching Patent Claims & Prior ArtCode1
Neural document expansion for ad-hoc information retrieval—0
Adaptive Graph-based Generalized Regression Model for Unsupervised Feature Selection—0
Comprehensive Graph-conditional Similarity Preserving Network for Unsupervised Cross-modal HashingCode1
A non-alternating graph hashing algorithm for large scale image searchCode0
Global Convergence of Model Function Based Bregman Proximal Minimization Algorithms—0
Understanding and Predicting Characteristics of Test Collections in Information Retrieval—0
THUIR@COLIEE-2020: Leveraging Semantic Understanding and Exact Matching for Legal Case Retrieval and Entailment—0
Pit30M: A Benchmark for Global Localization in the Age of Self-Driving CarsCode1
Learning Dense Representations of Phrases at ScaleCode2
Learning Structures in Earth Observation Data with Gaussian Processes—0
Deep Unsupervised Image Hashing by Maximizing Bit EntropyCode1
Do We Really Need Scene-specific Pose Encoders?—0
Event-Driven Query ExpansionCode0
ActionBert: Leveraging User Actions for Semantic Understanding of User Interfaces—0
A Structure-Aware Method for Direct Pose Estimation—0
Neural Methods for Effective, Efficient, and Exposure-Aware Information Retrieval—0
Self-attention Comparison Module for Boosting Performance on Retrieval-based Open-Domain Dialog Systems—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