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 1651–1675 of 14297 papers

TitleStatusHype
Mix-Modality Person Re-Identification: A New and Practical Paradigm—0
Question Answering for Decisionmaking in Green Building Design: A Multimodal Data Reasoning Method Driven by Large Language Models—0
DAug: Diffusion-based Channel Augmentation for Radiology Image Retrieval and Classification—0
GRAF: Graph Retrieval Augmented by Facts for Romanian Legal Multi-Choice Question Answering—0
RMD: A Simple Baseline for More General Human Motion Generation via Training-free Retrieval-Augmented Motion Diffuse—0
Exploring AI Text Generation, Retrieval-Augmented Generation, and Detection Technologies: a Comprehensive Overview—0
Semantic Retrieval at Walmart—0
HEAL: Hierarchical Embedding Alignment Loss for Improved Retrieval and Representation LearningCode1
Educational-Psychological Dialogue Robot Based on Multi-Agent Collaboration—0
From Models to Systems: A Comprehensive Fairness Framework for Compositional Recommender Systems—0
Chain-of-Thought in Large Language Models: Decoding, Projection, and Activation—0
Retrieval-Augmented Machine Translation with Unstructured KnowledgeCode1
CLIP-PING: Boosting Lightweight Vision-Language Models with Proximus Intrinsic Neighbors Guidance—0
Deep-Unrolling Multidimensional Harmonic Retrieval Algorithms on Neuromorphic Hardware—0
Domain-specific Question Answering with Hybrid Search—0
CLAS: A Machine Learning Enhanced Framework for Exploring Large 3D Design Datasets—0
Beyond Questions: Leveraging ColBERT for Keyphrase SearchCode0
Composed Image Retrieval for Training-Free Domain ConversionCode1
Linq-Embed-Mistral Technical Report—0
FLAIR: VLM with Fine-grained Language-informed Image RepresentationsCode2
Adaptive Two-Phase Finetuning LLMs for Japanese Legal Text Retrieval—0
Arctic-Embed 2.0: Multilingual Retrieval Without Compromise—0
Patchfinder: Leveraging Visual Language Models for Accurate Information Retrieval using Model Uncertainty—0
RARE: Retrieval-Augmented Reasoning Enhancement for Large Language ModelsCode1
CAISSON: Concept-Augmented Inference Suite of Self-Organizing Neural Networks—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