SOTAVerified

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

Showing 10261050 of 14297 papers

TitleStatusHype
Deep Hashing Network for Unsupervised Domain AdaptationCode1
Decouple knowledge from parameters for plug-and-play language modelingCode1
DeCoRe: Decoding by Contrasting Retrieval Heads to Mitigate HallucinationsCode1
ArabicaQA: A Comprehensive Dataset for Arabic Question AnsweringCode1
A Memory Efficient Baseline for Open Domain Question AnsweringCode1
Deconfounded Video Moment Retrieval with Causal InterventionCode1
Decoupling Strategy and Generation in Negotiation DialoguesCode1
Deep metric learning using Triplet networkCode1
Deformation-Aware 3D Model Embedding and RetrievalCode1
dEchorate: a Calibrated Room Impulse Response Database for Echo-aware Signal ProcessingCode1
DeCEMBERT: Learning from Noisy Instructional Videos via Dense Captions and Entropy MinimizationCode1
Declarative Experimentation in Information Retrieval using PyTerrierCode1
Dealing with Typos for BERT-based Passage Retrieval and RankingCode1
DecAF: Joint Decoding of Answers and Logical Forms for Question Answering over Knowledge BasesCode1
DeCLUTR: Deep Contrastive Learning for Unsupervised Textual RepresentationsCode1
Data-Free Sketch-Based Image RetrievalCode1
Dataflow-Guided Retrieval Augmentation for Repository-Level Code CompletionCode1
Data Roaming and Quality Assessment for Composed Image RetrievalCode1
Data-Efficient Multimodal Fusion on a Single GPUCode1
DASGIL: Domain Adaptation for Semantic and Geometric-aware Image-based LocalizationCode1
DataFinder: Scientific Dataset Recommendation from Natural Language DescriptionsCode1
DataSculpt: Crafting Data Landscapes for Long-Context LLMs through Multi-Objective PartitioningCode1
Decomposed Prompting: A Modular Approach for Solving Complex TasksCode1
DAM: Dynamic Attention Mask for Long-Context Large Language Model Inference AccelerationCode1
A matrix-free Levenberg-Marquardt algorithm for efficient ptychographic phase retrievalCode1
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1BM25SQueries per second183.53Unverified
2ElasticsearchQueries per second21.8Unverified
3BM25-PTQueries per second6.49Unverified
4Rank-BM25Queries per second1.18Unverified
#ModelMetricClaimedVerifiedStatus
1BM25SQueries per second20.88Unverified
2ElasticsearchQueries per second7.11Unverified
3Rank-BM25Queries per second0.04Unverified
#ModelMetricClaimedVerifiedStatus
1BM25SQueries per second41.85Unverified
2ElasticsearchQueries per second12.16Unverified
3Rank-BM25Queries per second0.1Unverified
#ModelMetricClaimedVerifiedStatus
1FLMRRecall@589.32Unverified
2RA-VQARecall@582.84Unverified
#ModelMetricClaimedVerifiedStatus
1PreFLMRRecall@562.1Unverified
#ModelMetricClaimedVerifiedStatus
1CLIP-KIStext-to-video Mean Rank30Unverified
#ModelMetricClaimedVerifiedStatus
1CLIP4OutfitRecall@57.59Unverified
#ModelMetricClaimedVerifiedStatus
1MetaGen Blended RAGAccuracy (Top-1)82.1Unverified
#ModelMetricClaimedVerifiedStatus
1MetaGen Blended RAGAccuracy (Top-1)82.1Unverified
#ModelMetricClaimedVerifiedStatus
1COLTCOMP@84.55Unverified
#ModelMetricClaimedVerifiedStatus
1hello0L1,121,222Unverified