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 3951–3975 of 14297 papers

TitleStatusHype
End-to-End QA on COVID-19: Domain Adaptation with Synthetic Training—0
Diversifying Reply Suggestions using a Matching-Conditional Variational Autoencoder—0
Automatic Query Optimization for Retrieving Traffic Tweets—0
DarkRank: Accelerating Deep Metric Learning via Cross Sample Similarities Transfer—0
Acceleration and Implicit Regularization in Gaussian Phase Retrieval—0
Diversity driven Query Rewriting in Search Advertising—0
Dare to Plagiarize? Plagiarized Painting Recognition and Retrieval—0
ANISE: Assembly-based Neural Implicit Surface rEconstruction—0
An Analysis of Semantically-Aligned Speech-Text Embeddings—0
Divide and Conquer: Text Semantic Matching with Disentangled Keywords and Intents—0
End-to-End Crystal Structure Prediction from Powder X-Ray Diffraction—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
Divide and Rule: Effective Pre-Training for Context-Aware Multi-Encoder Translation Models—0
Automatic Propbank Generation for Turkish—0
Divide by Question, Conquer by Agent: SPLIT-RAG with Question-Driven Graph Partitioning—0
DAMO-NLP at NLPCC-2022 Task 2: Knowledge Enhanced Robust NER for Speech Entity Linking—0
Automatic Ontology Learning from Domain-Specific Short Unstructured Text Data—0
Analysis of Gait Pattern to Recognize the Human Activities—0
Dividing and Conquering Cross-Modal Recipe Retrieval: from Nearest Neighbours Baselines to SoTA—0
End-to-end Generative Pretraining for Multimodal Video Captioning—0
DIVKNOWQA: Assessing the Reasoning Ability of LLMs via Open-Domain Question Answering over Knowledge Base and Text—0
DKPLM: Decomposable Knowledge-enhanced Pre-trained Language Model for Natural Language Understanding—0
Boolean-aware Attention for Dense Retrieval—0
DALG: Deep Attentive Local and Global Modeling for Image Retrieval—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