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 2951–3000 of 14297 papers

TitleStatusHype
Less is More: Removing Text-regions Improves CLIP Training Efficiency and RobustnessCode0
Beyond Domain Gap: Exploiting Subjectivity in Sketch-Based Person RetrievalCode0
LEGAL-UQA: A Low-Resource Urdu-English Dataset for Legal Question AnsweringCode0
Beyond Content Relevance: Evaluating Instruction Following in Retrieval ModelsCode0
LeNER-Br: a Dataset for Named Entity Recognition in Brazilian Legal TextCode0
Length is a Curse and a Blessing for Document-level SemanticsCode0
An Ensemble of Bayesian Neural Networks for Exoplanetary Atmospheric RetrievalCode0
LeCaRDv2: A Large-Scale Chinese Legal Case Retrieval DatasetCode0
Legal Case Document Similarity: You Need Both Network and TextCode0
Leveraging Acoustic Images for Effective Self-Supervised Audio Representation LearningCode0
Beyond Benchmarks: Evaluating Embedding Model Similarity for Retrieval Augmented Generation SystemsCode0
A Distance for HMMs based on Aggregated Wasserstein Metric and State RegistrationCode0
Beyond 512 Tokens: Siamese Multi-depth Transformer-based Hierarchical Encoder for Long-Form Document MatchingCode0
An Ensemble Approach to Acronym Extraction using TransformersCode0
Learning Without LossCode0
Learning Visual Importance for Graphic Designs and Data VisualizationsCode0
Learning vs Retrieval: The Role of In-Context Examples in Regression with LLMsCode0
Learning Visual Actions Using Multiple Verb-Only LabelsCode0
Learning with Average Precision: Training Image Retrieval with a Listwise LossCode0
Learn to Understand Negation in Video RetrievalCode0
Learning to Weight for Text ClassificationCode0
Learning to Speak and Act in a Fantasy Text Adventure GameCode0
A Discriminatively Learned CNN Embedding for Person Re-identificationCode0
Learning Two-Branch Neural Networks for Image-Text Matching TasksCode0
Better RAG using Relevant Information GainCode0
Learning to Retrieve Videos by Asking QuestionsCode0
Retrieval of Surface Solar Radiation through Implicit Albedo Recovery from Temporal ContextCode0
Learning to Search in Long Documents Using Document StructureCode0
Learning Unseen Modality InteractionCode0
Extractive Explanations for Interpretable Text RankingCode0
Leveraging Automatic CAD Annotations for Supervised Learning in 3D Scene UnderstandingCode0
Best-Case Retrieval Evaluation: Improving the Sensitivity of Reciprocal Rank with Lexicographic PrecisionCode0
BERT with History Answer Embedding for Conversational Question AnsweringCode0
An empirical study on the names of points of interest and their changes with geographic distanceCode0
Learning to Rank Context for Named Entity Recognition Using a Synthetic DatasetCode0
An Empirical Study on Compliance with Ranking Transparency in the Software Documentation of EU Online PlatformsCode0
BERT is not The Count: Learning to Match Mathematical Statements with ProofsCode0
Learning to Rank Words: Optimizing Ranking Metrics for Word SpottingCode0
Learning to Represent Bilingual DictionariesCode0
BERT Has Uncommon Sense: Similarity Ranking for Word Sense BERTologyCode0
Learning to Minimize the Remainder in Supervised LearningCode0
An Empirical Study of Validating Synthetic Data for Text-Based Person RetrievalCode0
Ad Hoc Table Retrieval using Semantic SimilarityCode0
Learning to Locate Visual Answer in Video Corpus Using QuestionCode0
Learning to Match Mathematical Statements with ProofsCode0
Summarization-Based Document IDs for Generative Retrieval with Language ModelsCode0
Learning to Learn from Web Data through Deep Semantic EmbeddingsCode0
Learning to Match Using Local and Distributed Representations of Text for Web SearchCode0
Learning to Prune in Metric and Non-Metric SpacesCode0
Learning to Retrieve Engaging Follow-Up QueriesCode0
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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