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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 2201–2225 of 14297 papers

TitleStatusHype
Divide and Conquer: Text Semantic Matching with Disentangled Keywords and IntentsCode1
Divide and Rule: Effective Pre-Training for Context-Aware Multi-Encoder Translation ModelsCode1
DnS: Distill-and-Select for Efficient and Accurate Video Indexing and RetrievalCode1
Doc2Query--: When Less is MoreCode1
Corpus-Level Evaluation for Event QA: The IndiaPoliceEvents Corpus Covering the 2002 Gujarat ViolenceCode1
Cascaded Multilingual Audio-Visual Learning from VideosCode1
CorpusBrain: Pre-train a Generative Retrieval Model for Knowledge-Intensive Language TasksCode1
A Comprehensive Evaluation of Large Language Models on Legal Judgment PredictionCode1
DomainRAG: A Chinese Benchmark for Evaluating Domain-specific Retrieval-Augmented GenerationCode1
Domain-Smoothing Network for Zero-Shot Sketch-Based Image RetrievalCode1
Corpus-Steered Query Expansion with Large Language ModelsCode1
Don't Hallucinate, Abstain: Identifying LLM Knowledge Gaps via Multi-LLM CollaborationCode1
CFT-RAG: An Entity Tree Based Retrieval Augmented Generation Algorithm With Cuckoo FilterCode1
Do Response Selection Models Really Know What's Next? Utterance Manipulation Strategies for Multi-turn Response SelectionCode1
CaseGNN++: Graph Contrastive Learning for Legal Case Retrieval with Graph AugmentationCode1
CaseGNN: Graph Neural Networks for Legal Case Retrieval with Text-Attributed GraphsCode1
CoRT: Complementary Rankings from TransformersCode1
Knowledge Card: Filling LLMs' Knowledge Gaps with Plug-in Specialized Language ModelsCode1
CaseLink: Inductive Graph Learning for Legal Case RetrievalCode1
Drop your Decoder: Pre-training with Bag-of-Word Prediction for Dense Passage RetrievalCode1
CORD-19: The COVID-19 Open Research DatasetCode1
DSSL: Deep Surroundings-person Separation Learning for Text-based Person RetrievalCode1
ConvGQR: Generative Query Reformulation for Conversational SearchCode1
Dependency-based Text Graphs for Keyphrase and Summary Extraction with Applications to Interactive Content RetrievalCode1
COSA: Concatenated Sample Pretrained Vision-Language Foundation ModelCode1
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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