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 4551–4600 of 14297 papers

TitleStatusHype
Intrinsic Evaluation of RAG Systems for Deep-Logic Questions—0
Task-free Lifelong Robot Learning with Retrieval-based Weighted Local Adaptation—0
Quantifying the Gaps Between Translation and Native Perception in Training for Multimodal, Multilingual Retrieval—0
BordIRlines: A Dataset for Evaluating Cross-lingual Retrieval-Augmented GenerationCode0
Enhancing Retrieval in QA Systems with Derived Feature AssociationCode0
Recursive Abstractive Processing for Retrieval in Dynamic Datasets—0
EUFCC-CIR: a Composed Image Retrieval Dataset for GLAM CollectionsCode0
Elaborative Subtopic Query Reformulation for Broad and Indirect Queries in Travel Destination RecommendationCode0
Can We Further Elicit Reasoning in LLMs? Critic-Guided Planning with Retrieval-Augmentation for Solving Challenging Tasks—0
Efficient Length-Generalizable Attention via Causal Retrieval for Long-Context Language Modeling—0
Optimizing and Evaluating Enterprise Retrieval-Augmented Generation (RAG): A Content Design PerspectiveCode0
Quantifying reliance on external information over parametric knowledge during Retrieval Augmented Generation (RAG) using mechanistic analysis—0
Classifying Peace in Global Media Using RAG and Intergroup Reciprocity—0
Multimodal LLM Enhanced Cross-lingual Cross-modal RetrievalCode0
TokenBinder: Text-Video Retrieval with One-to-Many Alignment ParadigmCode0
Single-shot reconstruction of three-dimensional morphology of biological cells in digital holographic microscopy using a physics-driven neural network—0
BSharedRAG: Backbone Shared Retrieval-Augmented Generation for the E-commerce Domain—0
Does RAG Introduce Unfairness in LLMs? Evaluating Fairness in Retrieval-Augmented Generation SystemsCode0
PEAR: Position-Embedding-Agnostic Attention Re-weighting Enhances Retrieval-Augmented Generation with Zero Inference Overhead—0
Crafting Personalized Agents through Retrieval-Augmented Generation on Editable Memory Graphs—0
HTML-LSTM: Information Extraction from HTML Tables in Web Pages using Tree-Structured LSTM—0
Corpus-informed Retrieval Augmented Generation of Clarifying Questions—0
Content-Based Image Retrieval Using COSFIRE Descriptors with application to Radio Astronomy—0
Generative Retrieval Meets Multi-Graded Relevance—0
AIPatient: Simulating Patients with EHRs and LLM Powered Agentic Workflow—0
A GEN AI Framework for Medical Note Generation—0
LW2G: Learning Whether to Grow for Prompt-based Continual LearningCode0
Incorporating Precedents for Legal Judgement Prediction on European Court of Human Rights Cases—0
Enhancing Tourism Recommender Systems for Sustainable City Trips Using Retrieval-Augmented Generation—0
Search and Detect: Training-Free Long Tail Object Detection via Web-Image Retrieval—0
Development and Validation of a Dynamic-Template-Constrained Large Language Model for Generating Fully-Structured Radiology ReportsCode0
Open-World Evaluation for Retrieving Diverse Perspectives—0
Enhancing Structured-Data Retrieval with GraphRAG: Soccer Data Case Study—0
Convolutional Signal Propagation: A Simple Scalable Algorithm for Hypergraphs—0
Evaluating Multilingual Long-Context Models for Retrieval and ReasoningCode0
Embodied-RAG: General Non-parametric Embodied Memory for Retrieval and Generation—0
Efficient In-Domain Question Answering for Resource-Constrained Environments—0
Few-shot Prompting for Pairwise Ranking: An Effective Non-Parametric Retrieval Model—0
HARMONIC: A Framework for Explanatory Cognitive Robots—0
Disentangling Questions from Query Generation for Task-Adaptive Retrieval—0
VectorSearch: Enhancing Document Retrieval with Semantic Embeddings and Optimized Search—0
Evaluating and Enhancing Large Language Models for Novelty Assessment in Scholarly PublicationsCode0
Lighter And Better: Towards Flexible Context Adaptation For Retrieval Augmented Generation—0
Deep-learning real-time phase retrieval of imperfect diffraction patterns from X-ray free-electron lasers—0
Controlling Risk of Retrieval-augmented Generation: A Counterfactual Prompting FrameworkCode0
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
Unsupervised Text Representation Learning via Instruction-Tuning for Zero-Shot Dense Retrieval—0
IRSC: A Zero-shot Evaluation Benchmark for Information Retrieval through Semantic Comprehension in Retrieval-Augmented Generation ScenariosCode0
Modern Hopfield Networks meet Encoded Neural Representations -- Addressing Practical Considerations—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