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 29512975 of 14297 papers

TitleStatusHype
Learning vs Retrieval: The Role of In-Context Examples in Regression with LLMsCode0
Learning Two-Branch Neural Networks for Image-Text Matching TasksCode0
Learning Unseen Modality InteractionCode0
Beyond Domain Gap: Exploiting Subjectivity in Sketch-Based Person RetrievalCode0
Learning to Weight for Text ClassificationCode0
Learning Without LossCode0
Learning to Search in Long Documents Using Document StructureCode0
Beyond Content Relevance: Evaluating Instruction Following in Retrieval ModelsCode0
Learning to Retrieve Videos by Asking QuestionsCode0
Learning to Speak and Act in a Fantasy Text Adventure GameCode0
An Ensemble of Bayesian Neural Networks for Exoplanetary Atmospheric RetrievalCode0
Learning to Represent Bilingual DictionariesCode0
Learning to Retrieve Engaging Follow-Up QueriesCode0
Learn to Understand Negation in Video RetrievalCode0
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 to Rank Context for Named Entity Recognition Using a Synthetic DatasetCode0
Learning to Rank Words: Optimizing Ranking Metrics for Word SpottingCode0
Learning to Minimize the Remainder in Supervised LearningCode0
Learning to Match Mathematical Statements with ProofsCode0
Learning to Match Using Local and Distributed Representations of Text for Web SearchCode0
Learning to Prune in Metric and Non-Metric SpacesCode0
A Discriminatively Learned CNN Embedding for Person Re-identificationCode0
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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