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 3151–3200 of 14297 papers

TitleStatusHype
Bent & Broken Bicycles: Leveraging synthetic data for damaged object re-identification—0
An Empirical Study of Frame Selection for Text-to-Video Retrieval—0
An Empirical Study of Excitation and Aggregation Design Adaptions in CLIP4Clip for Video-Text Retrieval—0
Benchmarking unsupervised near-duplicate image detection—0
A Chaotic Associative Memory—0
DH-RAG: A Dynamic Historical Context-Powered Retrieval-Augmented Generation Method for Multi-Turn Dialogue—0
Benchmarking Robustness of Contrastive Learning Models for Medical Image-Report Retrieval—0
Benchmarking Retrieval-Augmented Large Language Models in Biomedical NLP: Application, Robustness, and Self-Awareness—0
A Dense-Depth Representation for VLAD descriptors in Content-Based Image Retrieval—0
Benchmarking Retrieval-Augmented Generation for Chemistry—0
An Empirical Study of ADMM for Nonconvex Problems—0
Benchmarking Pretrained Vision Embeddings for Near- and Duplicate Detection in Medical Images—0
An Empirical Exploration of Open-Set Recognition via Lightweight Statistical Pipelines—0
Protriever: End-to-End Differentiable Protein Homology Search for Fitness Prediction—0
Multi-Aspect Reviewed-Item Retrieval via LLM Query Decomposition and Aspect Fusion—0
DIABLO: Dictionary-based Attention Block for Deep Metric Learning—0
Dictionary Look-up with Katakana Variant Recognition—0
Diffusion vs. Autoregressive Language Models: A Text Embedding Perspective—0
Disentangle and denoise: Tackling context misalignment for video moment retrieval—0
Benchmarking Poisoning Attacks against Retrieval-Augmented Generation—0
Benchmarking PathCLIP for Pathology Image Analysis—0
An Empirical Comparison of Video Frame Sampling Methods for Multi-Modal RAG Retrieval—0
An Empirical Comparison of LM-based Question and Answer Generation Methods—0
A Deep Reinforcement Learning Chatbot (Short Version)—0
Benchmarking Middle-Trained Language Models for Neural Search—0
Benchmarking Cognitive Domains for LLMs: Insights from Taiwanese Hakka Culture—0
A Deep Reinforcement Learning Chatbot—0
ACER: Automatic Language Model Context Extension via Retrieval—0
DFIN-SQL: Integrating Focused Schema with DIN-SQL for Superior Accuracy in Large-Scale Databases—0
Benchmarking Biopharmaceuticals Retrieval-Augmented Generation Evaluation—0
An Element-wise Visual-enhanced BiLSTM-CRF Model for Location Name Recognition—0
ACE-BERT: Adversarial Cross-modal Enhanced BERT for E-commerce Retrieval—0
Benchmarking and Building Long-Context Retrieval Models with LoCo and M2-BERT—0
Benchmarking and Analyzing Generative Data for Visual Recognition—0
A Deep Perceptual Measure for Lens and Camera Calibration—0
LEANN: A Low-Storage Vector Index—0
BEIR-PL: Zero Shot Information Retrieval Benchmark for the Polish Language—0
BEIR-NL: Zero-shot Information Retrieval Benchmark for the Dutch Language—0
An Efficient Indexing and Searching Technique for Information Retrieval for Urdu Language—0
Development of Marathi Part of Speech Tagger Using Statistical Approach—0
Dewey Long Context Embedding Model: A Technical Report—0
DGCNN: Disordered Graph Convolutional Neural Network Based on the Gaussian Mixture Model—0
Beihang-MSRA at SemEval-2017 Task 3: A Ranking System with Neural Matching Features for Community Question Answering—0
An Efficient Image Retrieval Based on Fusion of Low-Level Visual Features—0
Behavior Retrieval: Few-Shot Imitation Learning by Querying Unlabeled Datasets—0
Behavior Discovery and Alignment of Articulated Object Classes from Unstructured Video—0
A Deep Metric Learning Method for Biomedical Passage Retrieval—0
An Efficient Framework for Zero-Shot Sketch-Based Image Retrieval—0
Beginning with You: Perceptual-Initialization Improves Vision-Language Representation and Alignment—0
A Deep Look into Neural Ranking Models for Information Retrieval—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