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 4601–4625 of 14297 papers

TitleStatusHype
An In-Context Schema Understanding Method for Knowledge Base Question Answering—0
Universal representation by Boltzmann machines with Regularised Axons—0
PaRaDe: Passage Ranking using Demonstrations with Large Language Models—0
Merging Generated and Retrieved Knowledge for Open-Domain QACode1
NERetrieve: Dataset for Next Generation Named Entity Recognition and RetrievalCode1
Retrieval-Augmented Chain-of-Thought in Semi-structured Domains—0
MARVEL: Unlocking the Multi-Modal Capability of Dense Retrieval via Visual Module PluginCode1
Large Language Models and Multimodal Retrieval for Visual Word Sense DisambiguationCode0
An Invitation to Hypercomplex Phase Retrieval: Theory and Applications—0
FABULA: Intelligence Report Generation Using Retrieval-Augmented Narrative Construction—0
Semantic Decomposition of Question and SQL for Text-to-SQL ParsingCode0
Retrieval-Augmented Neural Response Generation Using Logical Reasoning and Relevance Scoring—0
InvGC: Robust Cross-Modal Retrieval by Inverse Graph ConvolutionCode0
MoqaGPT : Zero-Shot Multi-modal Open-domain Question Answering with Large Language ModelCode1
Open-source Large Language Models are Strong Zero-shot Query Likelihood Models for Document RankingCode1
CXR-CLIP: Toward Large Scale Chest X-ray Language-Image Pre-trainingCode1
Optimizing Retrieval-augmented Reader Models via Token EliminationCode0
VR PreM+ : An Immersive Pre-learning Branching Visualization System for Museum Tours—0
Two-Stage Triplet Loss Training with Curriculum Augmentation for Audio-Visual Retrieval—0
A Quality-based Syntactic Template Retriever for Syntactically-controlled Paraphrase GenerationCode0
SILC: Improving Vision Language Pretraining with Self-Distillation—0
Representation Learning via Consistent Assignment of Views over Random PartitionsCode0
Fast and Accurate Factual Inconsistency Detection Over Long DocumentsCode1
Reliable Academic Conference Question Answering: A Study Based on Large Language ModelCode0
Revisiting Sparse Retrieval for Few-shot Entity LinkingCode0
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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