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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 4301–4325 of 14297 papers

TitleStatusHype
RAFIC: Retrieval-Augmented Few-shot Image ClassificationCode0
RecJPQ: Training Large-Catalogue Sequential RecommendersCode1
Dense X Retrieval: What Retrieval Granularity Should We Use?Code1
Large Language Models with Retrieval-Augmented Generation for Zero-Shot Disease Phenotyping—0
Survey on Memory-Augmented Neural Networks: Cognitive Insights to AI Applications—0
Dynamic Weighted Combiner for Mixed-Modal Image RetrievalCode0
The performance of multiple language models in identifying offensive language on social media—0
Leveraging Generative Language Models for Weakly Supervised Sentence Component Analysis in Video-Language Joint Learning—0
Quantum Private Information Retrieval from Coded Storage Systems—0
mir_ref: A Representation Evaluation Framework for Music Information Retrieval TasksCode1
Fine-Tuning or Retrieval? Comparing Knowledge Injection in LLMs—0
DevBots can co-design APIs—0
ESPN: Memory-Efficient Multi-Vector Information RetrievalCode1
Context Tuning for Retrieval Augmented Generation—0
PaperQA: Retrieval-Augmented Generative Agent for Scientific Research—0
DelucionQA: Detecting Hallucinations in Domain-specific Question Answering—0
Retrieval-based Video Language Model for Efficient Long Video Question Answering—0
Enhancing Recipe Retrieval with Foundation Models: A Data Augmentation PerspectiveCode1
Predictive Chemistry Augmented with Text RetrievalCode1
Exploring Radar Data Representations in Autonomous Driving: A Comprehensive ReviewCode2
Learning to Break: Knowledge-Enhanced Reasoning in Multi-Agent Debate SystemCode1
LifelongMemory: Leveraging LLMs for Answering Queries in Long-form Egocentric VideosCode1
GYM at Qur’an QA 2023 Shared Task: Multi-Task Transfer Learning for Quranic Passage Retrieval and Question Answering with Large Language ModelsCode0
STraceBERT: Source Code Retrieval using Semantic Application Traces—0
SynthScribe: Deep Multimodal Tools for Synthesizer Sound Retrieval and Exploration—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