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 7201–7225 of 14297 papers

TitleStatusHype
Learning to Hash with Binary Reconstructive Embeddings—0
Evidentiality-guided Generation for Knowledge-Intensive NLP Tasks—0
Classifying Peace in Global Media Using RAG and Intergroup Reciprocity—0
Large-scale image analysis using docker sandboxing—0
Evidence to Generate (E2G): A Single-agent Two-step Prompting for Context Grounded and Retrieval Augmented Reasoning—0
Classifying magnetic resonance image modalities with convolutional neural networks—0
Large-Scale Knowledge Synthesis and Complex Information Retrieval from Biomedical Documents—0
A Review of Speaker Diarization: Recent Advances with Deep Learning—0
An Empirical Study of Frame Selection for Text-to-Video Retrieval—0
An Empirical Study of Excitation and Aggregation Design Adaptions in CLIP4Clip for Video-Text Retrieval—0
EVIDENCEMINER: Textual Evidence Discovery for Life Sciences—0
Large-Scale Music Annotation and Retrieval: Learning to Rank in Joint Semantic Spaces—0
Large scale near-duplicate image retrieval using Triples of Adjacent Ranked Features (TARF) with embedded geometric information—0
Large-Scale Pedestrian Retrieval Competition—0
Evidence-Driven Retrieval Augmented Response Generation for Online Misinformation—0
Large-scale phase retrieval—0
Classification Tree Diagrams in Health Informatics Applications—0
Evidence Contextualization and Counterfactual Attribution for Conversational QA over Heterogeneous Data with RAG Systems—0
Evidence-based Trustworthiness—0
Large Scale Question Paraphrase Retrieval with Smoothed Deep Metric Learning—0
Large-scale representation learning from visually grounded untranscribed speech—0
Large-Scale Retrieval for Reinforcement Learning—0
Classification or Generation? Understanding Paradigm Shift for Knowledge-Intensive Tasks—0
Large-scale Speaker Retrieval on Random Speaker Variability Subspace—0
A Review of Repository Level Prompting for LLMs—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