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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 1576–1600 of 14297 papers

TitleStatusHype
Wonderful Matrices: Combining for a More Efficient and Effective Foundation Model ArchitectureCode1
SpeechPrune: Context-aware Token Pruning for Speech Information RetrievalCode1
Online Writer Retrieval with Chinese Handwritten Phrases: A Synergistic Temporal-Frequency Representation Learning ApproachCode2
RetroLLM: Empowering Large Language Models to Retrieve Fine-grained Evidence within GenerationCode2
Agentic AI-Driven Technical Troubleshooting for Enterprise Systems: A Novel Weighted Retrieval-Augmented Generation Paradigm—0
LitLLMs, LLMs for Literature Review: Are we there yet?—0
Leveraging Large Vision-Language Model as User Intent-aware Encoder for Composed Image Retrieval—0
RAC3: Retrieval-Augmented Corner Case Comprehension for Autonomous Driving with Vision-Language Models—0
One-Shot Multilingual Font Generation Via ViT—0
Reason-before-Retrieve: One-Stage Reflective Chain-of-Thoughts for Training-Free Zero-Shot Composed Image RetrievalCode2
Distribution-Consistency-Guided Multi-modal HashingCode0
Accelerating Retrieval-Augmented Generation—0
Rebalanced Vision-Language Retrieval Considering Structure-Aware Distillation—0
Inference Scaling for Bridging Retrieval and Augmented Generation—0
UCDR-Adapter: Exploring Adaptation of Pre-Trained Vision-Language Models for Universal Cross-Domain RetrievalCode0
VisDoM: Multi-Document QA with Visually Rich Elements Using Multimodal Retrieval-Augmented Generation—0
Quantifying Positional Biases in Text Embedding ModelsCode0
Evidence Contextualization and Counterfactual Attribution for Conversational QA over Heterogeneous Data with RAG Systems—0
MST-R: Multi-Stage Tuning for Retrieval Systems and Metric EvaluationCode0
Retrieval-Augmented Semantic Parsing: Using Large Language Models to Improve Generalization—0
Static Pruning in Dense Retrieval using Matrix Decomposition—0
SCBench: A KV Cache-Centric Analysis of Long-Context MethodsCode5
VLR-Bench: Multilingual Benchmark Dataset for Vision-Language Retrieval Augmented Generation—0
RETQA: A Large-Scale Open-Domain Tabular Question Answering Dataset for Real Estate SectorCode1
OG-RAG: Ontology-Grounded Retrieval-Augmented Generation For Large Language Models—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