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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 3401–3450 of 14297 papers

TitleStatusHype
Two-stage Risk Control with Application to Ranked RetrievalCode0
Recall, Retrieve and Reason: Towards Better In-Context Relation Extraction—0
UMass-BioNLP at MEDIQA-M3G 2024: DermPrompt -- A Systematic Exploration of Prompt Engineering with GPT-4V for Dermatological DiagnosisCode0
Tool Calling: Enhancing Medication Consultation via Retrieval-Augmented Large Language Models—0
Retrieval-Augmented Generation with Knowledge Graphs for Customer Service Question Answering—0
Exploring the Distinctiveness and Fidelity of the Descriptions Generated by Large Vision-Language Models—0
Reinforcement Retrieval Leveraging Fine-grained Feedback for Fact Checking News Claims with Black-Box LLMCode0
ExcluIR: Exclusionary Neural Information RetrievalCode0
SAGHOG: Self-Supervised Autoencoder for Generating HOG Features for Writer RetrievalCode0
Human-Imperceptible Retrieval Poisoning Attacks in LLM-Powered Applications—0
3SHNet: Boosting Image-Sentence Retrieval via Visual Semantic-Spatial Self-HighlightingCode0
Learning text-to-video retrieval from image captioning—0
SetCSE: Set Operations using Contrastive Learning of Sentence Embeddings—0
CriSp: Leveraging Tread Depth Maps for Enhanced Crime-Scene Shoeprint MatchingCode0
FedStyle: Style-Based Federated Learning Crowdsourcing Framework for Art CommissionsCode0
Revisiting Relevance Feedback for CLIP-based Interactive Image Retrieval—0
Make Your LLM Fully Utilize the ContextCode5
Understanding Privacy Risks of Embeddings Induced by Large Language Models—0
DVF: Advancing Robust and Accurate Fine-Grained Image Retrieval with Retrieval Guidelines—0
Hi-Gen: Generative Retrieval For Large-Scale Personalized E-commerce Search—0
Retrieval Head Mechanistically Explains Long-Context FactualityCode3
Retrieval and Distill: A Temporal Data Shift-Free Paradigm for Online Recommendation System—0
Domain-Specific Improvement on Psychotherapy Chatbot Using Assistant—0
KS-LLM: Knowledge Selection of Large Language Models with Evidence Document for Question Answering—0
KGValidator: A Framework for Automatic Validation of Knowledge Graph Construction—0
URL: Universal Referential Knowledge Linking via Task-instructed Representation CompressionCode0
Telco-RAG: Navigating the Challenges of Retrieval-Augmented Language Models for TelecommunicationsCode2
From Local to Global: A Graph RAG Approach to Query-Focused SummarizationCode14
A Comprehensive Survey on Evaluating Large Language Model Applications in the Medical Industry—0
Med42 -- Evaluating Fine-Tuning Strategies for Medical LLMs: Full-Parameter vs. Parameter-Efficient Approaches—0
Wiki-LLaVA: Hierarchical Retrieval-Augmented Generation for Multimodal LLMs—0
Multi-view Content-aware Indexing for Long Document Retrieval—0
CoST: Contrastive Quantization based Semantic Tokenization for Generative Recommendation—0
Visual Delta Generator with Large Multi-modal Models for Semi-supervised Composed Image Retrieval—0
A Reproducibility Study of PLAID—0
From Matching to Generation: A Survey on Generative Information RetrievalCode3
Retrieval Augmented Generation for Domain-specific Question Answering—0
GSCo: Towards Generalizable AI in Medicine via Generalist-Specialist CollaborationCode2
Deep Models for Multi-View 3D Object Recognition: A Review—0
KamerRaad: Enhancing Information Retrieval in Belgian National Politics through Hierarchical Summarization and Conversational Interfaces—0
Planning Ahead in Generative Retrieval: Guiding Autoregressive Generation through Simultaneous DecodingCode1
LLMs Know What They Need: Leveraging a Missing Information Guided Framework to Empower Retrieval-Augmented GenerationCode1
SPLATE: Sparse Late Interaction Retrieval—0
Tree of Reviews: A Tree-based Dynamic Iterative Retrieval Framework for Multi-hop Question Answering—0
"Where am I?" Scene Retrieval with Language—0
Self-Bootstrapped Visual-Language Model for Knowledge Selection and Question AnsweringCode0
Retrieval-Augmented Audio Deepfake Detection—0
Hierarchical localization with panoramic views and triplet loss functionsCode0
SHE-Net: Syntax-Hierarchy-Enhanced Text-Video Retrieval—0
UrbanCross: Enhancing Satellite Image-Text Retrieval with Cross-Domain Adaptation—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