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 3901–3925 of 14297 papers

TitleStatusHype
Disorder-invariant Implicit Neural Representation—0
Dissecting an Adversarial framework for Information Retrieval—0
A Compact FP-Tree for Fast Frequent Pattern Retrieval—0
Embodied-RAG: General Non-parametric Embodied Memory for Retrieval and Generation—0
Dissecting Paraphrases: The Impact of Prompt Syntax and supplementary Information on Knowledge Retrieval from Pretrained Language Models—0
Dissecting Temporal Understanding in Text-to-Audio Retrieval—0
Dissecting the impact of different loss functions with gradient surgery—0
Distance-based Composable Representations with Neural Networks—0
Emphasizing Complementary Samples for Non-literal Cross-modal Retrieval—0
Empirical analysis of Binding Precedent efficiency in the Brazilian Supreme Court via Similar Case Retrieval—0
Automatic Query Optimization for Retrieving Traffic Tweets—0
DarkRank: Accelerating Deep Metric Learning via Cross Sample Similarities Transfer—0
Distant-Supervised Slot-Filling for E-Commerce Queries—0
An innovative solution for breast cancer textual big data analysis—0
Acceleration and Implicit Regularization in Gaussian Phase Retrieval—0
Dare to Plagiarize? Plagiarized Painting Recognition and Retrieval—0
An Analysis of Semantically-Aligned Speech-Text Embeddings—0
Distill CLIP (DCLIP): Enhancing Image-Text Retrieval via Cross-Modal Transformer Distillation—0
Embedding Meta-Textual Information for Improved Learning to Rank—0
DAPFAM: A Domain-Aware Patent Retrieval Dataset Aggregated at the Family Level—0
DAMO-NLP at SemEval-2023 Task 2: A Unified Retrieval-augmented System for Multilingual Named Entity Recognition—0
Bisecting K-Means in RAG for Enhancing Question-Answering Tasks Performance in Telecommunications—0
Automatic Propbank Generation for Turkish—0
Distilling Vision-Language Models on Millions of Videos—0
DAMO-NLP at NLPCC-2022 Task 2: Knowledge Enhanced Robust NER for Speech Entity Linking—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