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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 6501–6550 of 14297 papers

TitleStatusHype
COV19IR : COVID-19 Domain Literature Information RetrievalCode0
Going for GOAL: A Resource for Grounded Football CommentariesCode0
Query-Specific Knowledge Graphs for Complex Finance Topics—0
Unsupervised Domain Adaptation for Sparse Retrieval by Filling Vocabulary and Word Frequency GapsCode0
Caching and Reproducibility: Making Data Science experiments faster and FAIRer—0
BT^2: Backward-compatible Training with Basis TransformationCode0
Retrieval augmentation of large language models for lay language generationCode1
Body Part-Based Representation Learning for Occluded Person Re-IdentificationCode2
Generative Transformers for Design Concept Generation—0
Complete Cross-triplet Loss in Label Space for Audio-visual Cross-modal Retrieval—0
CLOP: Video-and-Language Pre-Training with Knowledge Regularizations—0
Knowledge Retrieval using Foon—0
Knowledge Retrieval using Functional Object-Oriented Network—0
Suffix Retrieval-Augmented Language ModelingCode0
A Geometrically Constrained Point Matching based on View-invariant Cross-ratios, and Homography—0
BEKG: A Built Environment Knowledge GraphCode0
KSS-ICP: Point Cloud Registration based on Kendall Shape SpaceCode1
Fuzzy Substring Matching: On-device Fuzzy Friend Search at Snapchat—0
Explainable Information Retrieval: A Survey—0
Arabic Text Mining—0
CASA: Category-agnostic Skeletal Animal Reconstruction—0
Miko Team: Deep Learning Approach for Legal Question Answering in ALQAC 2022—0
Task Tree Retrieval for Robotic Cooking—0
Automatic Crater Shape Retrieval using Unsupervised and Semi-Supervised Systems—0
Zero-shot Video Moment Retrieval With Off-the-Shelf Models—0
Human in the loop approaches in multi-modal conversational task guidance system development—0
Enhancing Patent Retrieval using Text and Knowledge Graph Embeddings: A Technical Note—0
Multi-Vector Retrieval as Sparse Alignment—0
M-SpeechCLIP: Leveraging Large-Scale, Pre-Trained Models for Multilingual Speech to Image Retrieval—0
Alternating Phase Langevin Sampling with Implicit Denoiser Priors for Phase Retrieval—0
Investigating the robustness of a learning-based method for quantitative phase retrieval from propagation-based x-ray phase contrast measurements under laboratory conditions—0
Practical Phase Retrieval Using Double Deep Image Priors—0
Passage-Mask: A Learnable Regularization Strategy for Retriever-Reader Models—0
Chinese CLIP: Contrastive Vision-Language Pretraining in ChineseCode5
Chinese Movie Dialogue Question Answering Dataset—0
Building an Enhanced Autoregressive Document Retriever Leveraging Supervised Contrastive Learning—0
Why is Winoground Hard? Investigating Failures in Visuolinguistic CompositionalityCode1
DOLPH: Diffusion Models for Phase Retrieval—0
Pneg: Prompt-based Negative Response Generation for Dialogue Response Selection TaskCode0
Reduce Catastrophic Forgetting of Dense Retrieval Training with Teleportation NegativesCode1
Analysis and Detection of Singing Techniques in Repertoires of J-POP Solo Singers—0
Exploring Train and Test-Time Augmentations for Audio-Language Learning—0
When Language Model Meets Private LibraryCode2
Efficient Document Retrieval by End-to-End Refining and Quantizing BERT Embedding with Contrastive Product QuantizationCode0
User Manual of Automatic Data Curation Tool(ADCT): A bulk data curator software in Library and Information Science—0
Generative Negative Text Replay for Continual Vision-Language Pretraining—0
An Efficient Memory-Augmented Transformer for Knowledge-Intensive NLP TasksCode1
CAD 3D Model classification by Graph Neural Networks: A new approach based on STEP formatCode1
Information retrieval system using evolutionary algorithms—0
Zero-Shot Text Matching for Automated Auditing using Sentence Transformers—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