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 2251–2275 of 14297 papers

TitleStatusHype
Convolutional Signal Propagation: A Simple Scalable Algorithm for Hypergraphs—0
Efficient In-Domain Question Answering for Resource-Constrained Environments—0
HARMONIC: A Framework for Explanatory Cognitive Robots—0
Open-World Evaluation for Retrieving Diverse Perspectives—0
Few-shot Prompting for Pairwise Ranking: An Effective Non-Parametric Retrieval Model—0
Evaluating Multilingual Long-Context Models for Retrieval and ReasoningCode0
VectorSearch: Enhancing Document Retrieval with Semantic Embeddings and Optimized Search—0
Disentangling Questions from Query Generation for Task-Adaptive Retrieval—0
Evaluating and Enhancing Large Language Models for Novelty Assessment in Scholarly PublicationsCode0
Controlling Risk of Retrieval-augmented Generation: A Counterfactual Prompting FrameworkCode0
Unsupervised Text Representation Learning via Instruction-Tuning for Zero-Shot Dense Retrieval—0
Exploring Hint Generation Approaches in Open-Domain Question AnsweringCode1
Deep-learning real-time phase retrieval of imperfect diffraction patterns from X-ray free-electron lasers—0
Lighter And Better: Towards Flexible Context Adaptation For Retrieval Augmented Generation—0
Modern Hopfield Networks meet Encoded Neural Representations -- Addressing Practical Considerations—0
Language-based Audio Moment RetrievalCode3
Towards Enhancing Linked Data Retrieval in Conversational UIs using Large Language ModelsCode0
AsthmaBot: Multi-modal, Multi-Lingual Retrieval Augmented Generation For Asthma Patient Support—0
IRSC: A Zero-shot Evaluation Benchmark for Information Retrieval through Semantic Comprehension in Retrieval-Augmented Generation ScenariosCode0
SpaGBOL: Spatial-Graph-Based Orientated LocalisationCode1
RAM2C: A Liberal Arts Educational Chatbot based on Retrieval-augmented Multi-role Multi-expert CollaborationCode0
Boosting Healthcare LLMs Through Retrieved ContextCode1
Learning When to Retrieve, What to Rewrite, and How to Respond in Conversational QA—0
GEM-RAG: Graphical Eigen Memories For Retrieval Augmented Generation—0
SEAL: Suite for Evaluating API-use of LLMs—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