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 14101–14150 of 14297 papers

TitleStatusHype
Question Answering Against Very-Large Text Collections—0
Responding to Retrieval: A Proposal to Use Retrieval Information for Better Presentation of Website Content—0
Response-based Learning for Machine Translation of Open-domain Database Queries—0
Open-ended Commonsense Reasoning with Unrestricted Answer Scope—0
ValuesRAG: Enhancing Cultural Alignment Through Retrieval-Augmented Contextual Learning—0
Variable-Length Codes Independent or Closed with respect to Edit Relations—0
Variable-Length Hashing—0
Variable Radiance Field for Real-Life Category-Specifc Reconstruction from Single Image—0
Responsible Retrieval Augmented Generation for Climate Decision Making from Documents—0
ReST meets ReAct: Self-Improvement for Multi-Step Reasoning LLM Agent—0
QUEST: A Retrieval Dataset of Entity-Seeking Queries with Implicit Set Operations—0
REST: REtrieve & Self-Train for generative action recognition—0
Variable Typing: Assigning Meaning to Variables in Mathematical Text—0
Results Merging in the Patent Domain—0
Query Understanding in the Age of Large Language Models—0
Retaining Knowledge and Enhancing Long-Text Representations in CLIP through Dual-Teacher Distillation—0
Query Translation for Cross-Language Information Retrieval using Multilingual Word Clusters—0
RetClean: Retrieval-Based Data Cleaning Using Foundation Models and Data Lakes—0
RETE: Retrieval-Enhanced Temporal Event Forecasting on Unified Query Product Evolutionary Graph—0
Re-thinking and Re-labeling LIDC-IDRI for Robust Pulmonary Cancer Prediction—0
Query Term Weighting based on Query Performance Prediction—0
Variance and Error in One-Step Phase-Retrieval—0
Rethinking Deep Contrastive Learning with Embedding Memory—0
Query-specific Variable Depth Pooling via Query Performance Prediction towards Reducing Relevance Assessment Effort—0
Rethinking E-Commerce Search—0
Re-thinking Knowledge Graph Completion Evaluation from an Information Retrieval Perspective—0
Rethinking Knowledge in Distillation: An In-context Sample Retrieval Perspective—0
Variational Autoencoder with CCA for Audio-Visual Cross-Modal Retrieval—0
Rethinking Noisy Video-Text Retrieval via Relation-aware Alignment—0
Rethinking Person Re-identification from a Projection-on-Prototypes Perspective—0
Rethinking Privacy in Machine Learning Pipelines from an Information Flow Control Perspective—0
Query-Specific Knowledge Graphs for Complex Finance Topics—0
Rethinking Rotation Invariance with Point Cloud Registration—0
Rethinking Search: Making Domain Experts out of Dilettantes—0
Rethinking Similarity Search: Embracing Smarter Mechanisms over Smarter Data—0
Rethinking Sparse Lexical Representations for Image Retrieval in the Age of Rising Multi-Modal Large Language Models—0
Query Routing for Retrieval-Augmented Language Models—0
Query Rewriting for Retrieval-Augmented Large Language Models—0
Rethinking Translation Memory Augmented Neural Machine Translation—0
Rethinking Video-Text Understanding: Retrieval from Counterfactually Augmented Data—0
Query-Response Interactions by Multi-tasks in Semantic Search for Chatbot Candidate Retrieval—0
Multi-Stage Conversational Passage Retrieval: An Approach to Fusing Term Importance Estimation and Neural Query Rewriting—0
Query pipeline optimization for cancer patient question answering systems—0
Onco-Retriever: Generative Classifier for Retrieval of EHR Records in Oncology—0
Query Performance Explanation through Large Language Model for HTAP Systems—0
ReTreever: Tree-based Coarse-to-Fine Representations for Retrieval—0
Retrievability in an Integrated Retrieval System: An Extended Study—0
Retrieval, Analogy, and Composition: A framework for Compositional Generalization in Image Captioning—0
Retrieval and Distill: A Temporal Data Shift-Free Paradigm for Online Recommendation System—0
Retrieval and Generative Approaches for a Pregnancy Chatbot in Nepali with Stemmed and Non-Stemmed Data : A Comparative Study—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