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

Showing 40514100 of 14297 papers

TitleStatusHype
Domain Generalization with MixStyle0
Domain-invariant feature learning in brain MR imaging for content-based image retrieval0
Accelerating Retrieval-Augmented Language Model Serving with Speculation0
Domain-matched Pre-training Tasks for Dense Retrieval0
Enhancing Retrieval-Augmented LMs with a Two-stage Consistency Learning Compressor0
Cycle-Contrast for Self-Supervised Video Representation Learning0
Cycle-Consistent Deep Generative Hashing for Cross-Modal Retrieval0
Domain-Specific Improvement on Psychotherapy Chatbot Using Assistant0
Evaluation of semantic relations impact in query expansion-based retrieval systems0
Domain-Specific Retrieval-Augmented Generation Using Vector Stores, Knowledge Graphs, and Tensor Factorization0
Domain Transfer based Data Augmentation for Neural Query Translation0
A Novel Bayesian Approach for the Two-Dimensional Harmonic Retrieval Problem0
Analysis and representation of Igbo text document for a text-based system0
Bridged-GNN: Knowledge Bridge Learning for Effective Knowledge Transfer0
Analysis and Detection of Singing Techniques in Repertoires of J-POP Solo Singers0
CyberLoc: Towards Accurate Long-term Visual Localization0
SubGCache: Accelerating Graph-based RAG with Subgraph-level KV Cache0
Don't forget private retrieval: distributed private similarity search for large language models0
Don't Forget to Connect! Improving RAG with Graph-based Reranking0
CyberBOT: Towards Reliable Cybersecurity Education via Ontology-Grounded Retrieval Augmented Generation0
Enhancing Question Answering for Enterprise Knowledge Bases using Large Language Models0
Don't Retrieve, Generate: Prompting LLMs for Synthetic Training Data in Dense Retrieval0
Bridging High-Quality Audio and Video via Language for Sound Effects Retrieval from Visual Queries0
Bridging Gap between Image Pixels and Semantics via Supervision: A Survey0
Do Perceived Gender Biases in Retrieval Results Affect Relevance Judgements?0
DoQA -- Accessing Domain-Specific FAQs via Conversational QA0
Enhancing Question Answering Precision with Optimized Vector Retrieval and Instructions0
DoQA - Accessing Domain-Specific FAQs via Conversational QA0
CvxNet: Learnable Convex Decomposition0
CVL-DataBase: An Off-Line Database for Writer Retrieval, Writer Identification and Word Spotting0
Automatic Feature Weight Determination using Indexing and Pseudo-Relevance Feedback for Multi-feature Content-Based Image Retrieval0
Do Retrieval-Augmented Language Models Adapt to Varying User Needs?0
CV4Code: Sourcecode Understanding via Visual Code Representations0
Bridging Law and Data: Augmenting Reasoning via a Semi-Structured Dataset with IRAC methodology0
Customizing Knowledge Graph Embedding to Improve Clinical Study Recommendation0
Automatic Fact-Checking with Frame-Semantics0
Doubly-stochastic mining for heterogeneous retrieval0
Do ``Undocumented Workers'' == ``Illegal Aliens''? Differentiating Denotation and Connotation in Vector Spaces0
Analysing Word Importance for Image Annotation0
Bridging Queries and Tables through Entities in Table Retrieval0
Automatic Face Understanding: Recognizing Families in Photos0
Do We Really Need Scene-specific Pose Encoders?0
Bridging Search and Recommendation in Generative Retrieval: Does One Task Help the Other?0
Customized Nonlinear Bandits for Online Response Selection in Neural Conversation Models0
Automatic Face Reenactment0
Custom Data Augmentation for low resource ASR using Bark and Retrieval-Based Voice Conversion0
CuSINeS: Curriculum-driven Structure Induced Negative Sampling for Statutory Article Retrieval0
A data-driven model of explanations for a chatbot that helps to practice conversation in a foreign language0
Enhancing Q&A Text Retrieval with Ranking Models: Benchmarking, fine-tuning and deploying Rerankers for RAG0
Enhancing Relevance of Embedding-based Retrieval at Walmart0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1BM25SQueries per second183.53Unverified
2ElasticsearchQueries per second21.8Unverified
3BM25-PTQueries per second6.49Unverified
4Rank-BM25Queries per second1.18Unverified
#ModelMetricClaimedVerifiedStatus
1BM25SQueries per second20.88Unverified
2ElasticsearchQueries per second7.11Unverified
3Rank-BM25Queries per second0.04Unverified
#ModelMetricClaimedVerifiedStatus
1BM25SQueries per second41.85Unverified
2ElasticsearchQueries per second12.16Unverified
3Rank-BM25Queries per second0.1Unverified
#ModelMetricClaimedVerifiedStatus
1FLMRRecall@589.32Unverified
2RA-VQARecall@582.84Unverified
#ModelMetricClaimedVerifiedStatus
1PreFLMRRecall@562.1Unverified
#ModelMetricClaimedVerifiedStatus
1CLIP-KIStext-to-video Mean Rank30Unverified
#ModelMetricClaimedVerifiedStatus
1CLIP4OutfitRecall@57.59Unverified
#ModelMetricClaimedVerifiedStatus
1MetaGen Blended RAGAccuracy (Top-1)82.1Unverified
#ModelMetricClaimedVerifiedStatus
1MetaGen Blended RAGAccuracy (Top-1)82.1Unverified
#ModelMetricClaimedVerifiedStatus
1COLTCOMP@84.55Unverified
#ModelMetricClaimedVerifiedStatus
1hello0L1,121,222Unverified