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 9901–9950 of 14297 papers

TitleStatusHype
CSRN: Collaborative Sequential Recommendation Networks for News Retrieval—0
CSTNet: Contrastive Speech Translation Network for Self-Supervised Speech Representation Learning—0
CtrlRAG: Black-box Adversarial Attacks Based on Masked Language Models in Retrieval-Augmented Language Generation—0
CUB: Benchmarking Context Utilisation Techniques for Language Models—0
CUE-M: Contextual Understanding and Enhanced Search with Multimodal Large Language Model—0
Cultural Awareness in Vision-Language Models: A Cross-Country Exploration—0
Cumulative Progress in Language Models for Information Retrieval—0
CUNI Submission to MRL 2023 Shared Task on Multi-lingual Multi-task Information Retrieval—0
CUPID: Adaptive Curation of Pre-training Data for Video-and-Language Representation Learning—0
Curating Stopwords in Marathi: A TF-IDF Approach for Improved Text Analysis and Information Retrieval—0
CURE: Collection for Urdu Information Retrieval Evaluation and Ranking—0
CURE Dataset: Ladder Networks for Audio Event Classification—0
Curriculum Learning for Data-Efficient Vision-Language Alignment—0
CAPSTONE: Curriculum Sampling for Dense Retrieval with Document Expansion—0
Curse of Heterogeneity: Computational Barriers in Sparse Mixture Models and Phase Retrieval—0
Cursive Caption Text Detection in Videos—0
CUSATNLP@HASOC-Dravidian-CodeMix-FIRE2020:Identifying Offensive Language from ManglishTweets—0
CuSINeS: Curriculum-driven Structure Induced Negative Sampling for Statutory Article Retrieval—0
Custom Data Augmentation for low resource ASR using Bark and Retrieval-Based Voice Conversion—0
Customized Nonlinear Bandits for Online Response Selection in Neural Conversation Models—0
Customizing Knowledge Graph Embedding to Improve Clinical Study Recommendation—0
CV4Code: Sourcecode Understanding via Visual Code Representations—0
CVL-DataBase: An Off-Line Database for Writer Retrieval, Writer Identification and Word Spotting—0
CvxNet: Learnable Convex Decomposition—0
CyberBOT: Towards Reliable Cybersecurity Education via Ontology-Grounded Retrieval Augmented Generation—0
CyberLoc: Towards Accurate Long-term Visual Localization—0
Cycle-Consistent Deep Generative Hashing for Cross-Modal Retrieval—0
Cycle-Contrast for Self-Supervised Video Representation Learning—0
D2CSE: Difference-aware Deep continuous prompts for Contrastive Sentence Embeddings—0
D4R -- Exploring and Querying Relational Graphs Using Natural Language and Large Language Models -- the Case of Historical Documents—0
DA-LD-Hildesheim at SemEval-2019 Task 6: Tracking Offensive Content with Deep Learning using Shallow Representation—0
DALG: Deep Attentive Local and Global Modeling for Image Retrieval—0
DAMO-NLP at NLPCC-2022 Task 2: Knowledge Enhanced Robust NER for Speech Entity Linking—0
DAMO-NLP at SemEval-2023 Task 2: A Unified Retrieval-augmented System for Multilingual Named Entity Recognition—0
DAPFAM: A Domain-Aware Patent Retrieval Dataset Aggregated at the Family Level—0
Dare to Plagiarize? Plagiarized Painting Recognition and Retrieval—0
DarkRank: Accelerating Deep Metric Learning via Cross Sample Similarities Transfer—0
DART^3: Leveraging Distance for Test Time Adaptation in Person Re-Identification—0
DART: Disease-aware Image-Text Alignment and Self-correcting Re-alignment for Trustworthy Radiology Report Generation—0
Darwinian Model Upgrades: Model Evolving with Selective Compatibility—0
Data Augmentation for BERT Fine-Tuning in Open-Domain Question Answering—0
Data Augmentation for Biomedical Factoid Question Answering—0
Data Augmentation for Text-based Person Retrieval Using Large Language Models—0
Data Augmentation Using Neural Acoustic Fields With Retrieval-Augmented Pre-training—0
Database-Augmented Query Representation for Information Retrieval—0
Database Search vs. Information Retrieval: A Novel Method for Studying Natural Language Querying of Semi-Structured Data—0
Data description and retrieval using periods represented by uncertain time intervals—0
Data-Driven Design-by-Analogy: State of the Art and Future Directions—0
Data-Driven Design for Fourier Ptychographic Microscopy—0
Data-Driven Dialogue Systems for Social Agents—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