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

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Showing 7001–7025 of 14297 papers

TitleStatusHype
KNN-LM Does Not Improve Open-ended Text Generation—0
Cross-Lingual Ability of Multilingual Masked Language Models: A Study of Language Structure—0
Know2Look: Commonsense Knowledge for Visual Search—0
Augmenting Images for ASR and TTS through Single-loop and Dual-loop Multimodal Chain Framework—0
A Multi-level Alignment Training Scheme for Video-and-Language Grounding—0
Adaptive Representations for Tracking Breaking News on Twitter—0
IITD-DBAI: Multi-Stage Retrieval with Pseudo-Relevance Feedback and Query Reformulation—0
Cross-language Sentence Selection via Data Augmentation and Rationale Training—0
If You Want to Go Far Go Together: Unsupervised Joint Candidate Evidence Retrieval for Multi-hop Question Answering—0
Cross-language Information Retrieval—0
Augmenting End-to-End Dialog Systems with Commonsense Knowledge—0
IfQA: A Dataset for Open-domain Question Answering under Counterfactual Presuppositions—0
Knowledge-Aware Query Expansion with Large Language Models for Textual and Relational Retrieval—0
Knowledge Aware Semantic Concept Expansion for Image-Text Matching—0
IF-Net: An Illumination-invariant Feature Network—0
IFIR: A Comprehensive Benchmark for Evaluating Instruction-Following in Expert-Domain Information Retrieval—0
Knowledge-based end-to-end memory networks—0
Cross Knowledge-based Generative Zero-Shot Learning Approach with Taxonomy Regularization—0
A Multigraph Representation for Improved Unsupervised/Semi-supervised Learning of Human Actions—0
Knowledge-based Query Expansion in Real-Time Microblog Search—0
If Attention Serves as a Cognitive Model of Human Memory Retrieval, What is the Plausible Memory Representation?—0
If At First You Don't Succeed: Test Time Re-ranking for Zero-shot, Cross-domain Retrieval—0
Crossing Variational Autoencoders for Answer Retrieval—0
Knowledge Compression via Question Generation: Enhancing Multihop Document Retrieval without Fine-tuning—0
Identity Preserving Generative Adversarial Network for Cross-Domain Person Re-identification—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