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 9801–9850 of 14297 papers

TitleStatusHype
Crafting Knowledge: Exploring the Creative Mechanisms of Chat-Based Search Engines—0
Crafting Personalized Agents through Retrieval-Augmented Generation on Editable Memory Graphs—0
Crafting the Path: Robust Query Rewriting for Information Retrieval—0
CRAFT: Training-Free Cascaded Retrieval for Tabular QA—0
Crawler for Image Acquisition from World Wide Web—0
CREATE: A Benchmark for Chinese Short Video Retrieval and Title Generation—0
CREATE: A Benchmark for Chinese Short Video Retrieval and Title Generation—0
Creating a Data Collection for Evaluating Rich Speech Retrieval—0
Creating and Querying Personalized Versions of Wikidata on a Laptop—0
Creating User Interface Mock-ups from High-Level Text Descriptions with Deep-Learning Models—0
CREDENCE: Counterfactual Explanations for Document Ranking—0
CrediRAG: Network-Augmented Credibility-Based Retrieval for Misinformation Detection in Reddit—0
CREST: Effectively Compacting a Datastore For Retrieval-Based Speculative Decoding—0
Crimson: Empowering Strategic Reasoning in Cybersecurity through Large Language Models—0
CRM: Retrieval Model with Controllable Condition—0
CrossATNet - A Novel Cross-Attention Based Framework for Sketch-Based Image Retrieval—0
CrossCLR: Cross-modal Contrastive Learning For Multi-modal Video Representations—0
Cross-Conditioned Recurrent Networks for Long-Term Synthesis of Inter-Person Human Motion Interactions—0
Cross-Document Cross-Lingual NLI via RST-Enhanced Graph Fusion and Interpretability Prediction—0
Cross-Domain Diffusion with Progressive Alignment for Efficient Adaptive Retrieval—0
Cross-Domain Generalization Through Memorization: A Study of Nearest Neighbors in Neural Duplicate Question Detection—0
Cross-domain Image Retrieval with a Dual Attribute-aware Ranking Network—0
Cross-Domain Image Retrieval with Attention Modeling—0
Cross-Domain Modeling of Sentence-Level Evidence for Document Retrieval—0
Cross-Encoder Rediscovers a Semantic Variant of BM25—0
Cross Encoding as Augmentation: Towards Effective Educational Text Classification—0
Cross-Format Retrieval-Augmented Generation in XR with LLMs for Context-Aware Maintenance Assistance—0
Cross-Frequency Coupling Increases Memory Capacity in Oscillatory Neural Networks—0
Cross-genre Document Retrieval: Matching between Conversational and Formal Writings—0
Crossing Variational Autoencoders for Answer Retrieval—0
Cross Knowledge-based Generative Zero-Shot Learning Approach with Taxonomy Regularization—0
Cross-language Information Retrieval—0
Cross-language Sentence Selection via Data Augmentation and Rationale Training—0
Cross-Lingual Ability of Multilingual Masked Language Models: A Study of Language Structure—0
Cross-lingual Adaptation for Recipe Retrieval with Mixup—0
Cross-Lingual Cross-Modal Consolidation for Effective Multilingual Video Corpus Moment Retrieval—0
Cross-lingual Cross-modal Pretraining for Multimodal Retrieval—0
Cross-lingual Data Augmentation for Document-grounded Dialog Systems in Low Resource Languages—0
Cross-Lingual Open-Domain Question Answering with Answer Sentence Generation—0
Cross-Lingual Information Retrieval and Semantic Interoperability for Cultural Heritage Repositories—0
Cross-Lingual Keyword Search for Sign Language—0
Cross-lingual Knowledge Transfer via Distillation for Multilingual Information Retrieval—0
Cross-Lingual Learning-to-Rank with Shared Representations—0
Cross-Lingual Relevance Transfer for Document Retrieval—0
Crosslingual Retrieval Augmented In-context Learning for Bangla—0
Cross-Lingual Training of Dense Retrievers for Document Retrieval—0
Cross-Lingual Training of Neural Models for Document Ranking—0
Cross-Lingual Training with Dense Retrieval for Document Retrieval—0
Cross-Media Scientific Research Achievements Retrieval Based on Deep Language Model—0
Cross-media Similarity Metric Learning with Unified Deep Networks—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