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 7051–7100 of 14297 papers

TitleStatusHype
Knowledge Graph Retrieval-Augmented Generation for LLM-based Recommendation—0
Identity Preserving Generative Adversarial Network for Cross-Domain Person Re-identification—0
Augmenting Document Representations for Dense Retrieval with Interpolation and Perturbation—0
Identifying topology of leaky photonic lattices with machine learning—0
Identifying Important Features for Graph Retrieval—0
Knowledge Informed Semantic Parsing for Conversational Question Answering—0
Cross-genre Document Retrieval: Matching between Conversational and Formal Writings—0
Identifying Effective Translations for Cross-lingual Arabic-to-English User-generated Speech Search—0
Identification of Orchid Species Using Content-Based Flower Image Retrieval—0
Cross-Frequency Coupling Increases Memory Capacity in Oscillatory Neural Networks—0
Distilling Knowledge from Text-to-Image Generative Models Improves Visio-Linguistic Reasoning in CLIP—0
A Multi-Granularity Retrieval Framework for Visually-Rich Documents—0
IDEL: In-Database Entity Linking with Neural Embeddings—0
Knowledge Retrieval for Robotic Cooking—0
Cross-Format Retrieval-Augmented Generation in XR with LLMs for Context-Aware Maintenance Assistance—0
Cross Encoding as Augmentation: Towards Effective Educational Text Classification—0
Knowledge Retrieval using Foon—0
Knowledge Retrieval using Functional Object-Oriented Network—0
Icon Based Information Retrieval and Disease Identification in Agriculture—0
Knowledge Sharing in Manufacturing using Large Language Models: User Evaluation and Model Benchmarking—0
i-Code Studio: A Configurable and Composable Framework for Integrative AI—0
Knowledge Solver: Teaching LLMs to Search for Domain Knowledge from Knowledge Graphs—0
ICLERB: In-Context Learning Embedding and Reranker Benchmark—0
Icing on the Cake: Automatic Code Summarization at Ericsson—0
Cross-Encoder Rediscovers a Semantic Variant of BM25—0
Augmented Geometric Distillation for Data-Free Incremental Person ReID—0
Cross-Domain Modeling of Sentence-Level Evidence for Document Retrieval—0
Know Where to Go: Make LLM a Relevant, Responsible, and Trustworthy Searcher—0
Know Your RAG: Dataset Taxonomy and Generation Strategies for Evaluating RAG Systems—0
ICC++: Explainable Image Retrieval for Art Historical Corpora using Image Composition Canvas—0
Cross-Domain Image Retrieval with Attention Modeling—0
KOSMOS: Knowledge-graph Oriented Social media and Mainstream media Overview System—0
iCBIR-Sli: Interpretable Content-Based Image Retrieval with 2D Slice Embeddings—0
ICAR: Image-based Complementary Auto Reasoning—0
I Can Has Cheezburger? A Nonparanormal Approach to Combining Textual and Visual Information for Predicting and Generating Popular Meme Descriptions—0
Cross-domain Image Retrieval with a Dual Attribute-aware Ranking Network—0
Augmented Embeddings for Custom Retrievals—0
A Multi-Granularity Matching Attention Network for Query Intent Classification in E-commerce Retrieval—0
KSG: Knowledge and Skill Graph—0
KS_JU@DPIL-FIRE2016:Detecting Paraphrases in Indian Languages Using Multinomial Logistic Regression Model—0
KS-LLM: Knowledge Selection of Large Language Models with Evidence Document for Question Answering—0
KSR: A Semantic Representation of Knowledge Graph within a Novel Unsupervised Paradigm—0
Adaptive Region Pooling for Fine-Grained Representation Learning—0
Accelerate Learning of Deep Hashing With Gradient Attention—0
VLM Agents Generate Their Own Memories: Distilling Experience into Embodied Programs of Thought—0
KuaiFormer: Transformer-Based Retrieval at Kuaishou—0
IAT - Image Annotation Tool: Manual—0
L1-L2 Parallel Dependency Treebank as Learner Corpus—0
Cross-Domain Generalization Through Memorization: A Study of Nearest Neighbors in Neural Duplicate Question Detection—0
IAG: Induction-Augmented Generation Framework for Answering Reasoning Questions—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