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 27512800 of 14297 papers

TitleStatusHype
MALADE: Orchestration of LLM-powered Agents with Retrieval Augmented Generation for PharmacovigilanceCode1
Fine-tuning CNN Image Retrieval with No Human AnnotationCode1
Context-aware Decoding Reduces Hallucination in Query-focused SummarizationCode1
LLMs4OM: Matching Ontologies with Large Language ModelsCode1
Longformer for MS MARCO Document Re-ranking TaskCode1
No Train, all Gain: Self-Supervised Gradients Improve Deep Frozen RepresentationsCode1
RAG with Differential PrivacyCode1
Connecting Language and Vision for Natural Language-Based Vehicle RetrievalCode1
Single-branch Network for Multimodal TrainingCode1
Link, Synthesize, Retrieve: Universal Document Linking for Zero-Shot Information RetrievalCode0
Linking In-context Learning in Transformers to Human Episodic MemoryCode0
Linked Data Triples Enhance Document Relevance ClassificationCode0
Linking Social Media Posts to News with Siamese TransformersCode0
List-aware Reranking-Truncation Joint Model for Search and Retrieval-augmented GenerationCode0
Linguistically Informed Masking for Representation Learning in the Patent DomainCode0
Bridging Languages through Images with Deep Partial Canonical Correlation AnalysisCode0
Adversarial Modality Alignment Network for Cross-Modal Molecule RetrievalCode0
Likelihood as a Performance Gauge for Retrieval-Augmented GenerationCode0
Lightweight Cross-Lingual Sentence Representation LearningCode0
Lightweight Multi-System Multivariate Interconnection and Divergence DiscoveryCode0
Large Language Models are Limited in Out-of-Context Knowledge ReasoningCode0
Adversarial-Metric Learning for Audio-Visual Cross-Modal MatchingCode0
Linear Algebraic Structure of Word Senses, with Applications to PolysemyCode0
Listwise Generative Retrieval Models via a Sequential Learning ProcessCode0
Bridging Data Center AI Systems with Edge Computing for Actionable Information RetrievalCode0
BRENT: Bidirectional Retrieval Enhanced Norwegian TransformerCode0
Lifelong Histopathology Whole Slide Image Retrieval via Distance Consistency RehearsalCode0
Lexicon and Rule-based Word Lemmatization Approach for the Somali LanguageCode0
Lexically-Accelerated Dense RetrievalCode0
Leveraging Unlabeled Data for Crowd Counting by Learning to RankCode0
Leveraging Geometry for Shape Estimation from a Single RGB ImageCode0
Adversarial Hubness in Multi-Modal RetrievalCode0
B-PROP: Bootstrapped Pre-training with Representative Words Prediction for Ad-hoc RetrievalCode0
Software Model Evolution with Large Language Models: Experiments on Simulated, Public, and Industrial DatasetsCode0
Boundary-aware Backward-Compatible Representation via Adversarial Learning in Image RetrievalCode0
Bottleneck-Minimal Indexing for Generative Document RetrievalCode0
Self-Bootstrapped Visual-Language Model for Knowledge Selection and Question AnsweringCode0
Let's Transfer Transformations of Shared Semantic RepresentationsCode0
BordIRlines: A Dataset for Evaluating Cross-lingual Retrieval-Augmented GenerationCode0
A Comparative Study of Feature Types for Age-Based Text ClassificationCode0
Less is More: Rejecting Unreliable Reviews for Product Question AnsweringCode0
Less is More: Removing Text-regions Improves CLIP Training Efficiency and RobustnessCode0
Leveraging Acoustic Images for Effective Self-Supervised Audio Representation LearningCode0
Boot and Switch: Alternating Distillation for Zero-Shot Dense RetrievalCode0
Boosting Zero-shot Cross-lingual Retrieval by Training on Artificially Code-Switched DataCode0
Boosting Visual-Language Models by Exploiting Hard SamplesCode0
Length is a Curse and a Blessing for Document-level SemanticsCode0
A non-alternating graph hashing algorithm for large scale image searchCode0
Leveraging Automatic CAD Annotations for Supervised Learning in 3D Scene UnderstandingCode0
Adversarial Autoencoders for Compact Representations of 3D Point CloudsCode0
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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