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 2026–2050 of 14297 papers

TitleStatusHype
RA-BLIP: Multimodal Adaptive Retrieval-Augmented Bootstrapping Language-Image Pre-training—0
Real-time Fake News from Adversarial FeedbackCode0
ELOQ: Resources for Enhancing LLM Detection of Out-of-Scope QuestionsCode0
PReP: Efficient context-based shape retrieval for missing parts—0
Interpret and Control Dense Retrieval with Sparse Latent FeaturesCode1
FIRE: Fact-checking with Iterative Retrieval and VerificationCode1
RiTeK: A Dataset for Large Language Models Complex Reasoning over Textual Knowledge Graphs—0
Retrieval of Temporal Event Sequences from Textual DescriptionsCode0
Pessimistic Evaluation—0
Generating Signed Language Instructions in Large-Scale Dialogue SystemsCode0
From Isolated Conversations to Hierarchical Schemas: Dynamic Tree Memory Representation for LLMs—0
Towards Cross-Cultural Machine Translation with Retrieval-Augmented Generation from Multilingual Knowledge Graphs—0
Selection of Filters for Photonic Crystal Spectrometer Using Domain-Aware Evolutionary Algorithms—0
Retrieval-Enhanced Named Entity Recognition—0
Integrating Temporal Representations for Dynamic Memory Retrieval and Management in Large Language Models—0
RAP: Retrieval-Augmented Personalization for Multimodal Large Language ModelsCode2
Enhancing Fact Retrieval in PLMs through Truthfulness—0
SBI-RAG: Enhancing Math Word Problem Solving for Students through Schema-Based Instruction and Retrieval-Augmented GenerationCode0
FaithBench: A Diverse Hallucination Benchmark for Summarization by Modern LLMsCode1
Private Counterfactual Retrieval—0
Evaluating Self-Generated Documents for Enhancing Retrieval-Augmented Generation with Large Language Models—0
How Does Knowledge Selection Help Retrieval Augmented Generation?—0
Knowledge-Aware Query Expansion with Large Language Models for Textual and Relational Retrieval—0
MIRAGE-Bench: Automatic Multilingual Benchmark Arena for Retrieval-Augmented Generation SystemsCode1
Failing Forward: Improving Generative Error Correction for ASR with Synthetic Data and Retrieval Augmentation—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