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 11451–11500 of 14297 papers

TitleStatusHype
Scalable Frame-based Construction of Sociocultural NormBases for Socially-Aware Dialogues—0
Scalable graph-based individual named entity identification—0
Scalable Image Retrieval by Sparse Product Quantization—0
Scalable In-Context Learning on Tabular Data via Retrieval-Augmented Large Language Models—0
Video Question Answering via Attribute-Augmented Attention Network Learning—0
Scalable Nonlinear Embeddings for Semantic Category-based Image Retrieval—0
Scalable Object Detection for Stylized Objects—0
Limitations of Automatic Relevance Assessments with Large Language Models for Fair and Reliable Retrieval Evaluation—0
Scalable Text Mining with Sparse Generative Models—0
Scalable Unit Harmonization in Medical Informatics Using Bi-directional Transformers and Bayesian-Optimized BM25 and Sentence Embedding Retrieval—0
Scalable Visual Attribute Extraction through Hidden Layers of a Residual ConvNet—0
On the Statistical Consistency of Plug-in Classifiers for Non-decomposable Performance Measures—0
Progressive Learning for Image Retrieval with Hybrid-Modality Queries—0
Scale-Semantic Joint Decoupling Network for Image-text Retrieval in Remote Sensing—0
Scale Up Composed Image Retrieval Learning via Modification Text Generation—0
Vocabulary-Defined Semantics: Latent Space Clustering for Improving In-Context Learning—0
Scaling and compressing melodies using geometric similarity measures—0
Progressive Large Scale-Invariant Image Matching in Scale Space—0
Scaling Context, Not Parameters: Training a Compact 7B Language Model for Efficient Long-Context Processing—0
Scaling Cross-Domain Content-Based Image Retrieval for E-commerce Snap and Search Application—0
Video retrieval based on deep convolutional neural network—0
Progressive Feature Mining and External Knowledge-Assisted Text-Pedestrian Image Retrieval—0
Scaling Laws for Online Advertisement Retrieval—0
Video sentence grounding with temporally global textual knowledge—0
ScalingNote: Scaling up Retrievers with Large Language Models for Real-World Dense Retrieval—0
Scaling Prompt Instructed Zero Shot Composed Image Retrieval with Image-Only Data—0
Progressive Evidence Refinement for Open-domain Multimodal Retrieval Question Answering—0
Progressive Domain-Independent Feature Decomposition Network for Zero-Shot Sketch-Based Image Retrieval—0
Scaling Test-Time Inference with Policy-Optimized, Dynamic Retrieval-Augmented Generation via KV Caching and Decoding—0
Scaling the Vocabulary of Non-autoregressive Models for Efficient Generative Retrieval—0
Programming in Natural Language with fuSE: Synthesizing Methods from Spoken Utterances Using Deep Natural Language Understanding—0
Scaling Up Music Information Retrieval Training with Semi-Supervised Learning—0
Tackling Query-Focused Summarization as A Knowledge-Intensive Task: A Pilot Study—0
Profiling and Evolution of Intellectual Property—0
Profile to Frontal Face Recognition in the Wild Using Coupled Conditional GAN—0
SCALM: Detecting Bad Practices in Smart Contracts Through LLMs—0
SCANet: Scene Complexity Aware Network for Weakly-Supervised Video Moment Retrieval—0
Product Sparse Coding—0
SCAN: Semantic Document Layout Analysis for Textual and Visual Retrieval-Augmented Generation—0
Product Quantization Network for Fast Image Retrieval—0
SCA-PVNet: Self-and-Cross Attention Based Aggregation of Point Cloud and Multi-View for 3D Object Retrieval—0
Scattered or Connected? An Optimized Parameter-efficient Tuning Approach for Information Retrieval—0
Video-Streaming Biomedical Implants using Ultrasonic Waves for Communication—0
Production Ready Chatbots: Generate if not Retrieve—0
SC-CoMIcs: A Superconductivity Corpus for Materials Informatics—0
SCD-Net: Spatiotemporal Clues Disentanglement Network for Self-supervised Skeleton-based Action Recognition—0
Video Stream Retrieval of Unseen Queries using Semantic Memory—0
Scenarios: A New Representation for Complex Scene Understanding—0
Video Summarization Using Fully Convolutional Sequence Networks—0
Scene-driven Retrieval in Edited Videos using Aesthetic and Semantic Deep Features—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