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

Showing 63766400 of 14297 papers

TitleStatusHype
Improving Calibration in Deep Metric Learning With Cross-Example Softmax0
Improving Candidate Retrieval with Entity Profile Generation for Wikidata Entity Linking0
Exploring new Approaches for Information Retrieval through Natural Language Processing0
Artificial Intelligence (AI) in Action: Addressing the COVID-19 Pandemic with Natural Language Processing (NLP)0
Improving Clinical Question Answering with Multi-Task Learning: A Joint Approach for Answer Extraction and Medical Categorization0
Investigating LLMs as Voting Assistants via Contextual Augmentation: A Case Study on the European Parliament Elections 20240
Improving Commonsense Question Answering by Graph-based Iterative Retrieval over Multiple Knowledge Sources0
Investigating Mixture of Experts in Dense Retrieval0
Improving Content Retrievability in Search with Controllable Query Generation0
Investigating the robustness of a learning-based method for quantitative phase retrieval from propagation-based x-ray phase contrast measurements under laboratory conditions0
Improving Cross-lingual Information Retrieval on Low-Resource Languages via Optimal Transport Distillation0
Improving Cross-lingual Representation for Semantic Retrieval with Code-switching0
A Human-Inspired Reading Agent with Gist Memory of Very Long Contexts0
Artifact Sharing for Information Retrieval Research0
Inverted Semantic-Index for Image Retrieval0
Exploring Low-light Object Detection Techniques0
CLTR: An End-to-End, Transformer-Based System for Cell-Level Table Retrieval and Table Question Answering0
Improving Document Ranking using Query Expansion and Classification Techniques for Mixed Script Information Retrieval0
Improving Document Representations by Generating Pseudo Query Embeddings for Dense Retrieval0
Improving Domain-Specific Retrieval by NLI Fine-Tuning0
Improving Dual-Encoder Training through Dynamic Indexes for Negative Mining0
Invertible Tree Embeddings using a Cryptographic Role Embedding Scheme0
Exploring LLM-based Agents for Root Cause Analysis0
Improving Embedding Accuracy for Document Retrieval Using Entity Relationship Maps and Model-Aware Contrastive Sampling0
Exploring Knowledge Boundaries in Large Language Models for Retrieval Judgment0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1BM25SQueries per second183.53Unverified
2ElasticsearchQueries per second21.8Unverified
3BM25-PTQueries per second6.49Unverified
4Rank-BM25Queries per second1.18Unverified
#ModelMetricClaimedVerifiedStatus
1BM25SQueries per second20.88Unverified
2ElasticsearchQueries per second7.11Unverified
3Rank-BM25Queries per second0.04Unverified
#ModelMetricClaimedVerifiedStatus
1BM25SQueries per second41.85Unverified
2ElasticsearchQueries per second12.16Unverified
3Rank-BM25Queries per second0.1Unverified
#ModelMetricClaimedVerifiedStatus
1FLMRRecall@589.32Unverified
2RA-VQARecall@582.84Unverified
#ModelMetricClaimedVerifiedStatus
1PreFLMRRecall@562.1Unverified
#ModelMetricClaimedVerifiedStatus
1CLIP-KIStext-to-video Mean Rank30Unverified
#ModelMetricClaimedVerifiedStatus
1CLIP4OutfitRecall@57.59Unverified
#ModelMetricClaimedVerifiedStatus
1MetaGen Blended RAGAccuracy (Top-1)82.1Unverified
#ModelMetricClaimedVerifiedStatus
1MetaGen Blended RAGAccuracy (Top-1)82.1Unverified
#ModelMetricClaimedVerifiedStatus
1COLTCOMP@84.55Unverified
#ModelMetricClaimedVerifiedStatus
1hello0L1,121,222Unverified