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 7676–7700 of 14297 papers

TitleStatusHype
Leveraging a Bilingual Dictionary to Learn Wolastoqey Word Representations—0
Hindi as a Second Language: Improving Visually Grounded Speech with Semantically Similar Samples—0
Leveraging Advantages of Interactive and Non-Interactive Models for Vector-Based Cross-Lingual Information Retrieval—0
RimiRec: Modeling Refined Multi-interest in Hierarchical Structure for Recommendation—0
Corpus-informed Retrieval Augmented Generation of Clarifying Questions—0
HijackRAG: Hijacking Attacks against Retrieval-Augmented Large Language Models—0
Hi, how can I help you?: Automating enterprise IT support help desks—0
High-throughput lensless whole slide imaging via continuous height-varying modulation of tilted sensor—0
Leveraging Code Generation to Improve Code Retrieval and Summarization via Dual Learning—0
Corpus COFLA: A research corpus for the Computational study of Flamenco Music—0
Leveraging Compressed Frame Sizes For Ultra-Fast Video Classification—0
Attentive Representation Learning with Adversarial Training for Short Text Clustering—0
Leveraging Cutting Edge Deep Learning Based Image Matching for Reconstructing a Large Scene from Sparse Images—0
A Meta-embedding-based Ensemble Approach for ICD Coding Prediction—0
Leveraging Decoder Architectures for Learned Sparse Retrieval—0
A Cascading Cooperative Multi-agent Framework for On-ramp Merging Control Integrating Large Language Models—0
Leveraging Deep Learning Techniques on Collaborative Filtering Recommender Systems—0
Beyond Prompting: An Efficient Embedding Framework for Open-Domain Question Answering—0
Leveraging EfficientNet and Contrastive Learning for Accurate Global-scale Location Estimation—0
Breaking the Hourglass Phenomenon of Residual Quantization: Enhancing the Upper Bound of Generative Retrieval—0
Leveraging Explicit Procedural Instructions for Data-Efficient Action Prediction—0
High-Throughput and Language-Agnostic Entity Disambiguation and Linking on User Generated Data—0
High resolution functional imaging through Lorentz transmission electron microscopy and differentiable programming—0
High-resolution canopy height map in the Landes forest (France) based on GEDI, Sentinel-1, and Sentinel-2 data with a deep learning approach—0
High Recall, Small Data: The Challenges of Within-System Evaluation in a Live Legal Search System—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