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 5851–5900 of 14297 papers

TitleStatusHype
Lexicon-Enhanced Self-Supervised Training for Multilingual Dense Retrieval—0
Retrievability in an Integrated Retrieval System: An Extended Study—0
Empowering Dual-Encoder with Query Generator for Cross-Lingual Dense Retrieval—0
Improving Dual-Encoder Training through Dynamic Indexes for Negative Mining—0
What Can Human Sketches Do for Object Detection?—0
Zero-Shot Composed Image Retrieval with Textual InversionCode1
Neural Graph Reasoning: Complex Logical Query Answering Meets Graph DatabasesCode1
Zero-Shot Everything Sketch-Based Image Retrieval, and in Explainable StyleCode1
A Bioinformatics Study for Recognition of Hub Genes and Pathways in Pancreatic Ductal Adenocarcinoma—0
Equivariant Similarity for Vision-Language Foundation ModelsCode1
Video-Text as Game Players: Hierarchical Banzhaf Interaction for Cross-Modal Representation LearningCode1
Train/Test-Time Adaptation with Retrieval—0
Computationally Efficient Labeling of Cancer Related Forum Posts by Non-Clinical Text Information Retrieval—0
Search By Image: Deeply Exploring Beneficial Features for Beauty Product Retrieval—0
Query-Dependent Video Representation for Moment Retrieval and Highlight DetectionCode2
PanoVPR: Towards Unified Perspective-to-Equirectangular Visual Place Recognition via Sliding Windows across the Panoramic ViewCode1
ChatDoctor: A Medical Chat Model Fine-Tuned on a Large Language Model Meta-AI (LLaMA) Using Medical Domain KnowledgeCode4
CCL: Continual Contrastive Learning for LiDAR Place RecognitionCode1
Machine Psychology—0
Paraphrasing evades detectors of AI-generated text, but retrieval is an effective defenseCode1
Dialogue-to-Video RetrievalCode0
Low-frequency Image Deep Steganography: Manipulate the Frequency Distribution to Hide Secrets with Tenacious Robustness—0
Parameter-Efficient Sparse Retrievers and Rerankers using Adapters—0
VADER: Video Alignment Differencing and Retrieval—0
A Unified Framework for Learned Sparse RetrievalCode1
Top-Down Visual Attention from Analysis by SynthesisCode1
TactoFind: A Tactile Only System for Object Retrieval—0
MELTR: Meta Loss Transformer for Learning to Fine-tune Video Foundation ModelsCode1
Retrieval-Augmented Classification with Decoupled RepresentationCode0
CoBIT: A Contrastive Bi-directional Image-Text Generation Model—0
CLIP for All Things Zero-Shot Sketch-Based Image Retrieval, Fine-Grained or Not—0
Modular Retrieval for Generalization and InterpretationCode1
Cross-Modal Implicit Relation Reasoning and Aligning for Text-to-Image Person RetrievalCode2
CiCo: Domain-Aware Sign Language Retrieval via Cross-Lingual Contrastive Learning—0
Reliable and Efficient Evaluation of Adversarial Robustness for Deep Hashing-Based Retrieval—0
RepoCoder: Repository-Level Code Completion Through Iterative Retrieval and GenerationCode2
LIMITR: Leveraging Local Information for Medical Image-Text Representation—0
Improving Content Retrievability in Search with Controllable Query Generation—0
cTBLS: Augmenting Large Language Models with Conversational TablesCode0
Transcriptomics-based matching of drugs to diseases with deep learningCode0
CompoDiff: Versatile Composed Image Retrieval With Latent DiffusionCode1
Large Language Models Can Be Used to Estimate the Latent Positions of Politicians—0
ByteCover3: Accurate Cover Song Identification on Short Queries—0
Sketch2Saliency: Learning to Detect Salient Objects from Human Drawings—0
Retrieving Multimodal Information for Augmented Generation: A Survey—0
Learning Multi-Stage Multi-Grained Semantic Embeddings for E-Commerce Search—0
On-the-fly Text Retrieval for End-to-End ASR Adaptation—0
Picture that Sketch: Photorealistic Image Generation from Abstract Sketches—0
MXM-CLR: A Unified Framework for Contrastive Learning of Multifold Cross-Modal RepresentationsCode0
Scene Graph Based Fusion Network For Image-Text Retrieval—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