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 4276–4300 of 14297 papers

TitleStatusHype
Event-Centered Information Retrieval Using Kernels on Event Graphs—0
Evaluation of Table Representations to Answer Questions from Tables in Documents : A Case Study using 3GPP Specifications—0
Evaluation Set for Slovak News Information Retrieval—0
Crosslingual Retrieval Augmented In-context Learning for Bangla—0
Augmenting Zero-Shot Dense Retrievers with Plug-in Mixture-of-Memories—0
A Multimodal Dense Retrieval Approach for Speech-Based Open-Domain Question Answering—0
EVCap: Retrieval-Augmented Image Captioning with External Visual-Name Memory for Open-World Comprehension—0
Cross-Lingual Relevance Transfer for Document Retrieval—0
Augmenting Textual Generation via Topology Aware Retrieval—0
SemEval-2025 Task 7: Multilingual and Crosslingual Fact-Checked Claim Retrieval—0
Cross-Lingual Learning-to-Rank with Shared Representations—0
Accelerating Adaptive Retrieval Augmented Generation via Instruction-Driven Representation Reduction of Retrieval Overlaps—0
Evaluation of some Information Retrieval models for Gujarati Ad hoc Monolingual Tasks—0
EvdCLIP: Improving Vision-Language Retrieval with Entity Visual Descriptions from Large Language Models—0
Event-Centric Query Expansion in Web Search—0
Event Retrieval in Large Video Collections with Circulant Temporal Encoding—0
Cross-lingual Knowledge Transfer via Distillation for Multilingual Information Retrieval—0
Cross-Lingual Keyword Search for Sign Language—0
A Multimodal Approach for Cross-Domain Image Retrieval—0
Augmenting Pre-trained Language Models with QA-Memory for Open-Domain Question Answering—0
Cross-Lingual Information Retrieval and Semantic Interoperability for Cultural Heritage Repositories—0
Evaluation of medium-large Language Models at zero-shot closed book generative question answering—0
Evaluation of Neural Networks Defenses and Attacks using NDCG and Reciprocal Rank Metrics—0
Cross-Lingual Open-Domain Question Answering with Answer Sentence Generation—0
Accelerate Learning of Deep Hashing With Gradient Attention—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