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 4501–4525 of 14297 papers

TitleStatusHype
The Music Meta Ontology: a flexible semantic model for the interoperability of music metadata—0
LLM as an Art Director (LaDi): Using LLMs to improve Text-to-Media Generators—0
In-Context Exemplars as Clues to Retrieving from Large Associative Memory—0
OVIR-3D: Open-Vocabulary 3D Instance Retrieval Without Training on 3D DataCode1
A Foundation Model for Music InformaticsCode2
CAME: Competitively Learning a Mixture-of-Experts Model for First-stage Retrieval—0
SugarViT -- Multi-objective Regression of UAV Images with Vision Transformers and Deep Label Distribution Learning Demonstrated on Disease Severity Prediction in Sugar Beet—0
Retrieval-Augmented Code Generation for Universal Information Extraction—0
GLEN: Generative Retrieval via Lexical Index LearningCode1
Divide & Conquer for Entailment-aware Multi-hop Evidence Retrieval—0
Temporal Treasure Hunt: Content-based Time Series Retrieval System for Discovering Insights—0
FloodBrain: Flood Disaster Reporting by Web-based Retrieval Augmented Generation with an LLM—0
Automated Camera Calibration via Homography Estimation with GNNs—0
AI-TA: Towards an Intelligent Question-Answer Teaching Assistant using Open-Source LLMsCode0
Decoy Effect in Search Interaction: A Pilot Study—0
A New Fine-grained Alignment Method for Image-text Matching—0
Lost Your Style? Navigating with Semantic-Level Approach for Text-to-Outfit Retrieval—0
Plot Retrieval as an Assessment of Abstract Semantic Association—0
Sculpting Holistic 3D Representation in Contrastive Language-Image-3D Pre-trainingCode1
Multi-EuP: The Multilingual European Parliament Dataset for Analysis of Bias in Information RetrievalCode0
The Effect of Scaling, Retrieval Augmentation and Form on the Factual Consistency of Language ModelsCode0
FLAP: Fast Language-Audio Pre-training—0
CRUSH4SQL: Collective Retrieval Using Schema Hallucination For Text2SQLCode1
MetaReVision: Meta-Learning with Retrieval for Visually Grounded Compositional Concept AcquisitionCode0
Efficient Neural Ranking using Forward Indexes and Lightweight Encoders—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