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 3651–3675 of 14297 papers

TitleStatusHype
Blended RAG: Improving RAG (Retriever-Augmented Generation) Accuracy with Semantic Search and Hybrid Query-Based RetrieversCode2
Spectral Initialization for High-Dimensional Phase Retrieval with Biased Spatial Directions—0
FollowIR: Evaluating and Teaching Information Retrieval Models to Follow InstructionsCode2
A Multimodal Approach for Cross-Domain Image Retrieval—0
Event Temporal Relation Extraction based on Retrieval-Augmented on LLMs—0
Piecewise-Linear Manifolds for Deep Metric Learning—0
FastCAD: Real-Time CAD Retrieval and Alignment from Scans and Videos—0
Evidence-Driven Retrieval Augmented Response Generation for Online Misinformation—0
Long-CLIP: Unlocking the Long-Text Capability of CLIPCode4
Enhancing Historical Image Retrieval with Compositional CuesCode0
Recourse for reclamation: Chatting with generative language models—0
M3: A Multi-Task Mixed-Objective Learning Framework for Open-Domain Multi-Hop Dense Sentence RetrievalCode0
LLM-based Extraction of Contradictions from Patents—0
Adaptive-RAG: Learning to Adapt Retrieval-Augmented Large Language Models through Question ComplexityCode3
VXP: Voxel-Cross-Pixel Large-scale Image-LiDAR Place RecognitionCode1
Context Quality Matters in Training Fusion-in-Decoder for Extractive Open-Domain Question Answering—0
FIT-RAG: Black-Box RAG with Factual Information and Token Reduction—0
DP-RDM: Adapting Diffusion Models to Private Domains Without Fine-TuningCode0
Inserting Faces inside Captions: Image Captioning with Attention Guided Merging—0
An Analysis on Matching Mechanisms and Token Pruning for Late-interaction Models—0
Leveraging High-Resolution Features for Improved Deep Hashing-based Image Retrieval—0
A Unified Optimal Transport Framework for Cross-Modal Retrieval with Noisy Labels—0
DESIRE-ME: Domain-Enhanced Supervised Information REtrieval using Mixture-of-ExpertsCode0
Improving Legal Case Retrieval with Brain Signals—0
CoCoST: Automatic Complex Code Generation with Online Searching and Correctness Testing—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