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 8226–8250 of 14297 papers

TitleStatusHype
A theory of sequence indexing and working memory in recurrent neural networks—0
Alternating Co-Quantization for Cross-Modal Hashing—0
Adaptive Asymmetric Label-guided Hashing for Multimedia Search—0
A Brief History of Prompt: Leveraging Language Models. (Through Advanced Prompting)—0
Towards Efficient Educational Chatbots: Benchmarking RAG Frameworks—0
Fine-Grained Modeling of Narrative Context: A Coherence Perspective via Retrospective Questions—0
CoST: Contrastive Quantization based Semantic Tokenization for Generative Recommendation—0
Graph Regularized Nonnegative Matrix Factorization for Data Representation—0
Graph Regularized Low Rank Representation for Aerosol Optical Depth Retrieval—0
Contrastive Pre-training for Zero-Shot Information Retrieval—0
A Theory-Based Evaluation of Nearest Neighbor Models Put Into Practice—0
Graph Reasoning for Question Answering with Triplet Retrieval—0
GraphRAG under Fire—0
Contrastive masked auto-encoders based self-supervised hashing for 2D image and 3D point cloud cross-modal retrieval—0
A Theoretically Sound Upper Bound on the Triplet Loss for Improving the Efficiency of Deep Distance Metric Learning—0
ALR^2: A Retrieve-then-Reason Framework for Long-context Question Answering—0
Graph Pattern Loss based Diversified Attention Network for Cross-Modal Retrieval—0
Athena: Retrieval-augmented Legal Judgment Prediction with Large Language Models—0
Graph Neural Networks in Vision-Language Image Understanding: A Survey—0
Graph Neural Network Enhanced Retrieval for Question Answering of LLMs—0
Contrastive Learning to Improve Retrieval for Real-world Fact Checking—0
Graph Meets LLM: A Novel Approach to Collaborative Filtering for Robust Conversational Understanding—0
Contrastive Learning of Visual-Semantic Embeddings—0
Athena: Constructing Dialogues Dynamically with Discourse Constraints—0
Adaptive additive classification-based loss for deep metric learning—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