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 5876–5900 of 14297 papers

TitleStatusHype
Facial Electromyography-based Adaptive Virtual Reality Gaming for Cognitive Training—0
GUMsley: Evaluating Entity Salience in Summarization for 12 English Genres—0
Face Video Retrieval With Image Query via Hashing Across Euclidean Space and Riemannian Manifold—0
A Semantic Indexing Structure for Image Retrieval—0
CoCo-BERT: Improving Video-Language Pre-training with Contrastive Cross-modal Matching and Denoising—0
Faceted Ranking of Egos in Collaborative Tagging Systems—0
Habit Coach: Customising RAG-based chatbots to support behavior change—0
AiAds: Automated and Intelligent Advertising System for Sponsored Search—0
Hadamard Codebook Based Deep Hashing—0
KnowPO: Knowledge-aware Preference Optimization for Controllable Knowledge Selection in Retrieval-Augmented Language Models—0
Image Retrieval with Fisher Vectors of Binary Features—0
Image Retrieval with Mixed Initiative and Multimodal Feedback—0
Faceted classification: management and use—0
Face Synthesis (FASY) System for Generation of a Face Image from Human Description—0
COCOA: CBT-based Conversational Counseling Agent using Memory Specialized in Cognitive Distortions and Dynamic Prompt—0
Conversational Recommendation as Retrieval: A Simple, Strong Baseline—0
Face Synthesis (FASY) System for Determining the Characteristics of a Face Image—0
Hamming Distance Metric Learning—0
Hamming Sentence Embeddings for Information Retrieval—0
Face Retrieval using Frequency Decoded Local Descriptor—0
Handwriting Recognition in Low-resource Scripts using Adversarial Learning—0
Handwriting Trajectory Recovery using End-to-End Deep Encoder-Decoder Network—0
Handwritten Amharic Character Recognition System Using Convolutional Neural Networks—0
A Semantic Enhanced Model for effective Spatial Information Retrieval—0
Face Recognition in the age of CLIP & Billion image datasets—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