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 8676–8700 of 14297 papers

TitleStatusHype
Learning TFIDF Enhanced Joint Embedding for Recipe-Image Cross-Modal Retrieval ServiceCode0
Jointly Optimizing Query Encoder and Product Quantization to Improve Retrieval PerformanceCode1
ConveRT for FAQ AnsweringCode0
Self-supervised Answer Retrieval on Clinical Notes—0
Knowledge Informed Semantic Parsing for Conversational Question Answering—0
Preserving Cross-Linguality of Pre-trained Models via Continual Learning—0
In-Batch Negatives for Knowledge Distillation with Tightly-Coupled Teachers for Dense Retrieval—0
Dynamic Facet Selection by Maximizing Graded RelevanceCode0
基于结构检索的汉语介动搭配知识库构建(Construction of Preposition-verb Knowledge Base Based on Structure Retrieval)—0
Bag-of-Words Baselines for Semantic Code Search—0
Combining semantic search and twin product classification for recognition of purchasable items in voice shopping—0
Multimodal or Text? Retrieval or BERT? Benchmarking Classifiers for the Shared Task on Hateful Memes—0
“Are you calling for the vaporizer you ordered?” Combining Search and Prediction to Identify Orders in Contact Centers—0
Textual Representations for Crosslingual Information Retrieval—0
A DQN-based Approach to Finding Precise Evidences for Fact VerificationCode0
Space Efficient Context Encoding for Non-Task-Oriented Dialogue Generation with Graph Attention TransformerCode0
Situation-Based Multiparticipant Chat Summarization: a Concept, an Exploration-Annotation Tool and an Example Collection—0
Automated Generation of Storytelling Vocabulary from Photographs for use in AAC—0
xMoCo: Cross Momentum Contrastive Learning for Open-Domain Question Answering—0
CLTR: An End-to-End, Transformer-Based System for Cell-Level Table Retrieval and Table Question Answering—0
Explanations for CommonsenseQA: New Dataset and Models—0
A Gradually Soft Multi-Task and Data-Augmented Approach to Medical Question UnderstandingCode1
A Pre-training Strategy for Zero-Resource Response Selection in Knowledge-Grounded Conversations—0
PSE-Match: A Viewpoint-free Place Recognition Method with Parallel Semantic Embedding—0
Connecting Compression Spaces with Transformer for Approximate Nearest Neighbor Search—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