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 4651–4675 of 14297 papers

TitleStatusHype
Towards reducing hallucination in extracting information from financial reports using Large Language Models—0
If the Sources Could Talk: Evaluating Large Language Models for Research Assistance in HistoryCode0
Approximation properties of slice-matching operators—0
BeatDance: A Beat-Based Model-Agnostic Contrastive Learning Framework for Music-Dance Retrieval—0
Learning to Rank Context for Named Entity Recognition Using a Synthetic DatasetCode0
Reproducing Bayesian Posterior Distributions for Exoplanet Atmospheric Parameter Retrievals with a Machine Learning Surrogate Model—0
MechGPT, a language-based strategy for mechanics and materials modeling that connects knowledge across scales, disciplines and modalities—0
A Comprehensive Evaluation of Tool-Assisted Generation Strategies—0
TacticAI: an AI assistant for football tactics—0
Dual-Encoders for Extreme Multi-Label ClassificationCode0
RegaVAE: A Retrieval-Augmented Gaussian Mixture Variational Auto-Encoder for Language ModelingCode1
Progressive Evidence Refinement for Open-domain Multimodal Retrieval Question Answering—0
EX-FEVER: A Dataset for Multi-hop Explainable Fact VerificationCode1
Chameleon: a Heterogeneous and Disaggregated Accelerator System for Retrieval-Augmented Language ModelsCode1
Enhancing Conversational Search: Large Language Model-Aided Informative Query RewritingCode1
Findability: A Novel Measure of Information Accessibility—0
CarExpert: Leveraging Large Language Models for In-Car Conversational Question Answering—0
A ML-LLM pairing for better code comment classification—0
Human-in-the-loop Machine Translation with Large Language ModelCode0
Retrieval-Generation Alignment for End-to-End Task-Oriented Dialogue SystemCode0
Pairwise Similarity Learning is SimPLECode0
Unsupervised Domain Adaption for Neural Information Retrieval—0
PaLI-3 Vision Language Models: Smaller, Faster, StrongerCode1
Towards Example-Based NMT with Multi-Levenshtein TransformersCode0
Adaptivity and Modularity for Efficient Generalization Over Task Complexity—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