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 6351–6400 of 14297 papers

TitleStatusHype
Artificial Musical Intelligence: A Survey—0
Cluster-Aware Similarity Diffusion for Instance Retrieval—0
A Hybrid Approach for Improved Content-based Image Retrieval using Segmentation—0
Improved Hamming Distance Search Using Variable Length Substrings—0
Investigating Language Preference of Multilingual RAG Systems—0
Improved Search in Hamming Space using Deep Multi-Index Hashing—0
Exploring Relations in Untrimmed Videos for Self-Supervised Learning—0
Improved Topic modeling in Twitter through Community Pooling—0
Exploring Query Categorisation for Query Expansion: A Study—0
Improve Retrieval-based Dialogue System via Syntax-Informed Attention—0
Improve Supervised Representation Learning with Masked Image Modeling—0
Improving Access to Trade and Investment Information in Thailand through Intelligent Document Retrieval—0
ClueWeb22: 10 Billion Web Documents with Visual and Semantic Information—0
Improving accuracy of GPT-3/4 results on biomedical data using a retrieval-augmented language model—0
Improving Acquisition Speed of X-Ray Ptychography through Spatial Undersampling and Regularization—0
Improving Assessment of Tutoring Practices using Retrieval-Augmented Generation—0
Exploring Optimal Transport-Based Multi-Grained Alignments for Text-Molecule Retrieval—0
Exploring Train and Test-Time Augmentations for Audio-Language Learning—0
AutoFAS: Automatic Feature and Architecture Selection for Pre-Ranking System—0
Improving average ranking precision in user searches for biomedical research datasets—0
Improving BERT-based Query-by-Document Retrieval with Multi-Task Optimization—0
Improving Bilingual Terminology Extraction from Comparable Corpora via Multiple Word-Space Models—0
Improving Biomedical Analogical Retrieval with Embedding of Structural Dependencies—0
Cross-Modal Music Retrieval and Applications: An Overview of Key Methodologies—0
Improving Biomedical Information Retrieval with Neural Retrievers—0
Improving Calibration in Deep Metric Learning With Cross-Example Softmax—0
Improving Candidate Retrieval with Entity Profile Generation for Wikidata Entity Linking—0
Exploring new Approaches for Information Retrieval through Natural Language Processing—0
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 Categorization—0
Investigating LLMs as Voting Assistants via Contextual Augmentation: A Case Study on the European Parliament Elections 2024—0
Improving Commonsense Question Answering by Graph-based Iterative Retrieval over Multiple Knowledge Sources—0
Investigating Mixture of Experts in Dense Retrieval—0
Improving Content Retrievability in Search with Controllable Query Generation—0
Investigating the robustness of a learning-based method for quantitative phase retrieval from propagation-based x-ray phase contrast measurements under laboratory conditions—0
Improving Cross-lingual Information Retrieval on Low-Resource Languages via Optimal Transport Distillation—0
Improving Cross-lingual Representation for Semantic Retrieval with Code-switching—0
A Human-Inspired Reading Agent with Gist Memory of Very Long Contexts—0
Artifact Sharing for Information Retrieval Research—0
Inverted Semantic-Index for Image Retrieval—0
Exploring Low-light Object Detection Techniques—0
CLTR: An End-to-End, Transformer-Based System for Cell-Level Table Retrieval and Table Question Answering—0
Improving Document Ranking using Query Expansion and Classification Techniques for Mixed Script Information Retrieval—0
Improving Document Representations by Generating Pseudo Query Embeddings for Dense Retrieval—0
Improving Domain-Specific Retrieval by NLI Fine-Tuning—0
Improving Dual-Encoder Training through Dynamic Indexes for Negative Mining—0
Invertible Tree Embeddings using a Cryptographic Role Embedding Scheme—0
Exploring LLM-based Agents for Root Cause Analysis—0
Improving Embedding Accuracy for Document Retrieval Using Entity Relationship Maps and Model-Aware Contrastive Sampling—0
Exploring Knowledge Boundaries in Large Language Models for Retrieval Judgment—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