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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 1526–1550 of 14297 papers

TitleStatusHype
RAG for Effective Supply Chain Security Questionnaire Automation—0
Knowledge Editing with Dynamic Knowledge Graphs for Multi-Hop Question AnsweringCode1
Smarter, Better, Faster, Longer: A Modern Bidirectional Encoder for Fast, Memory Efficient, and Long Context Finetuning and InferenceCode5
Retrieval Augmented Image Harmonization—0
Query-centric Audio-Visual Cognition Network for Moment Retrieval, Segmentation and Step-Captioning—0
Denoising Nearest Neighbor Graph via Continuous CRF for Visual Re-ranking without Fine-tuning—0
Multi-OphthaLingua: A Multilingual Benchmark for Assessing and Debiasing LLM Ophthalmological QA in LMICs—0
FlashVTG: Feature Layering and Adaptive Score Handling Network for Video Temporal GroundingCode1
ARTEMIS-DA: An Advanced Reasoning and Transformation Engine for Multi-Step Insight Synthesis in Data Analytics—0
Dynamic Adapter with Semantics Disentangling for Cross-lingual Cross-modal RetrievalCode0
LLMs can realize combinatorial creativity: generating creative ideas via LLMs for scientific research—0
CRM: Retrieval Model with Controllable Condition—0
Maybe you are looking for CroQS: Cross-modal Query Suggestion for Text-to-Image Retrieval—0
Federated Learning and RAG Integration: A Scalable Approach for Medical Large Language Models—0
RAG-RewardBench: Benchmarking Reward Models in Retrieval Augmented Generation for Preference AlignmentCode1
Rango: Adaptive Retrieval-Augmented Proving for Automated Software VerificationCode1
A MapReduce Approach to Effectively Utilize Long Context Information in Retrieval Augmented Language Models—0
SimGRAG: Leveraging Similar Subgraphs for Knowledge Graphs Driven Retrieval-Augmented GenerationCode2
On the Structural Memory of LLM AgentsCode0
Expansion Span: Combining Fading Memory and Retrieval in Hybrid State Space Models—0
Enabling Low-Resource Language Retrieval: Establishing Baselines for Urdu MS MARCOCode0
OmniEval: An Omnidirectional and Automatic RAG Evaluation Benchmark in Financial DomainCode2
Cross-Dialect Information Retrieval: Information Access in Low-Resource and High-Variance LanguagesCode0
EXIT: Context-Aware Extractive Compression for Enhancing Retrieval-Augmented GenerationCode1
RemoteRAG: A Privacy-Preserving LLM Cloud RAG Service—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