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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 9526–9550 of 14297 papers

TitleStatusHype
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
Show:102550
← PrevPage 382 of 572Next →
All datasetsQuora Question PairsHotpotQANatural QuestionsOK-VQAInfoSeekMVKPolyvorePubMedQAPubMedQA corpus with metadataToolLensคลิปไวรัล!! ไอซ์ ปรีชญา ลืมปิดไลฟ์สดตอนอาบน้ำ ถูกแชร์กระหึ่มเน็ต

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