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 1401–1450 of 14297 papers

TitleStatusHype
LWFNet: Coherent Doppler Wind Lidar-Based Network for Wind Field Retrieval—0
Watch Video, Catch Keyword: Context-aware Keyword Attention for Moment Retrieval and Highlight DetectionCode1
Can Impressions of Music be Extracted from Thumbnail Images?—0
The Efficiency vs. Accuracy Trade-off: Optimizing RAG-Enhanced LLM Recommender Systems Using Multi-Head Early Exit—0
Knowledge Graph Retrieval-Augmented Generation for LLM-based Recommendation—0
Personalized Graph-Based Retrieval for Large Language ModelsCode1
Quaternionic Reweighted Amplitude Flow for Phase Retrieval in Image Reconstruction—0
PersonaAI: Leveraging Retrieval-Augmented Generation and Personalized Context for AI-Driven Digital Avatars—0
CarbonChat: Large Language Model-Based Corporate Carbon Emission Analysis and Climate Knowledge Q&A System—0
Adaptive Few-shot Prompting for Machine Translation with Pre-trained Language Models—0
iCBIR-Sli: Interpretable Content-Based Image Retrieval with 2D Slice Embeddings—0
MADGEN: Mass-Spec attends to De Novo Molecular generationCode1
Robust Self-Paced Hashing for Cross-Modal Retrieval with Noisy LabelsCode1
Automating Legal Concept Interpretation with LLMs: Retrieval, Generation, and Evaluation—0
Rephotography in the Digital Era: Mass Rephotography and re.photos, the Web Portal for Rephotography—0
Retrieval-Augmented Dynamic Prompt Tuning for Incomplete Multimodal LearningCode2
ValuesRAG: Enhancing Cultural Alignment Through Retrieval-Augmented Contextual Learning—0
Domain-invariant feature learning in brain MR imaging for content-based image retrieval—0
Retaining Knowledge and Enhancing Long-Text Representations in CLIP through Dual-Teacher Distillation—0
PromptHash:Affinity-Prompted Collaborative Cross-Modal Learning for Adaptive Hashing RetrievalCode0
Towards Natural Language-Based Document Image Retrieval: New Dataset and Benchmark—0
Docopilot: Improving Multimodal Models for Document-Level UnderstandingCode1
DTOS: Dynamic Time Object Sensing with Large Multimodal ModelCode0
Chat-based Person Retrieval via Dialogue-Refined Cross-Modal Alignment—0
Cheb-GR: Rethinking K-nearest Neighbor Search in Re-ranking for Person Re-identification—0
Learning with Noisy Triplet Correspondence for Composed Image Retrieval—0
Cross-Modal 3D Representation with Multi-View Images and Point Clouds—0
Shift the Lens: Environment-Aware Unsupervised Camouflaged Object DetectionCode0
Rethinking Noisy Video-Text Retrieval via Relation-aware Alignment—0
Bridging Modalities: Improving Universal Multimodal Retrieval by Multimodal Large Language Models—0
Incorporating Dense Knowledge Alignment into Unified Multimodal Representation Models—0
Fuzzy Multimodal Learning for Trusted Cross-modal RetrievalCode1
Generative Zero-Shot Composed Image Retrieval—0
CCIN: Compositional Conflict Identification and Neutralization for Composed Image RetrievalCode0
HORUS: Multimodal Large Language Models Framework for Video Retrieval at VBS 2025—0
TrustRAG: Enhancing Robustness and Trustworthiness in RAGCode2
Unfolding the Headline: Iterative Self-Questioning for News Retrieval and Timeline SummarizationCode3
Decoupling Knowledge and Reasoning in Transformers: A Modular Architecture with Generalized Cross-Attention—0
CancerKG.ORG A Web-scale, Interactive, Verifiable Knowledge Graph-LLM Hybrid for Assisting with Optimal Cancer Treatment and Care—0
KnowRA: Knowledge Retrieval Augmented Method for Document-level Relation Extraction with Comprehensive Reasoning Abilities—0
MAIN-RAG: Multi-Agent Filtering Retrieval-Augmented Generation—0
Retrieval-Augmented Generation with Graphs (GraphRAG)Code0
CaReBench: A Fine-Grained Benchmark for Video Captioning and Retrieval—0
RAG-Instruct: Boosting LLMs with Diverse Retrieval-Augmented InstructionsCode2
Chunk-Distilled Language Modeling—0
KAE: Kolmogorov-Arnold Auto-Encoder for Representation LearningCode1
An Overview and Discussion on Using Large Language Models for Implementation Generation of Solutions to Open-Ended Problems—0
ACL-rlg: A Dataset for Reading List Generation—0
The Text Classification Pipeline: Starting Shallow going Deeper—0
Retrieval-Augmented Generation for Mobile Edge Computing via Large Language Model—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