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 3551–3600 of 14297 papers

TitleStatusHype
Assisting humans in complex comparisons: automated information comparison at scale—0
Assessing the quality of information extraction—0
A Comparison of Methods for Evaluating Generative IRCode0
Dwell in the Beginning: How Language Models Embed Long Documents for Dense RetrievalCode0
CBR-RAG: Case-Based Reasoning for Retrieval Augmented Generation in LLMs for Legal Question AnsweringCode1
GenQREnsemble: Zero-Shot LLM Ensemble Prompting for Generative Query Reformulation—0
Outlier-Efficient Hopfield Layers for Large Transformer-Based ModelsCode1
Uniform Memory Retrieval with Larger Capacity for Modern Hopfield ModelsCode0
CONFLARE: CONFormal LArge language model REtrievalCode1
Do Large Language Models Rank Fairly? An Empirical Study on the Fairness of LLMs as Rankers—0
How Easily do Irrelevant Inputs Skew the Responses of Large Language Models?Code1
Embedding-Informed Adaptive Retrieval-Augmented Generation of Large Language Models—0
A Coupled Neural Field Model for the Standard Consolidation Theory—0
Dynamic Demonstration Retrieval and Cognitive Understanding for Emotional Support ConversationCode0
MatAtlas: Text-driven Consistent Geometry Texturing and Material Assignment—0
Efficient Multi-Vector Dense Retrieval Using Bit VectorsCode2
Enhancing Cross-lingual Sentence Embedding for Low-resource Languages with Word Alignment—0
uTeBC-NLP at SemEval-2024 Task 9: Can LLMs be Lateral Thinkers?Code0
KnowHalu: Hallucination Detection via Multi-Form Knowledge Based Factual CheckingCode2
Retrieving Examples from Memory for Retrieval Augmented Neural Machine Translation: A Systematic Comparison—0
A Comprehensive Survey on AI-based Methods for Patents—0
FraGNNet: A Deep Probabilistic Model for Mass Spectrum Prediction—0
RAT: Retrieval-Augmented Transformer for Click-Through Rate PredictionCode1
Symbolic Prompt Program Search: A Structure-Aware Approach to Efficient Compile-Time Prompt OptimizationCode4
Transforming LLMs into Cross-modal and Cross-lingual Retrieval Systems—0
Improving Retrieval Augmented Open-Domain Question-Answering with Vectorized ContextsCode0
Entity Disambiguation via Fusion Entity Decoding—0
CLAPNQ: Cohesive Long-form Answers from Passages in Natural Questions for RAG systemsCode1
Dissecting Paraphrases: The Impact of Prompt Syntax and supplementary Information on Knowledge Retrieval from Pretrained Language Models—0
A Novel Audio Representation for Music Genre Identification in MIR—0
Exploring the Nexus of Large Language Models and Legal Systems: A Short Survey—0
Towards an In-Depth Comprehension of Case Relevance for Better Legal Retrieval—0
ARAGOG: Advanced RAG Output GradingCode2
BERT-Enhanced Retrieval Tool for Homework Plagiarism Detection System—0
Query Performance Prediction using Relevance Judgments Generated by Large Language ModelsCode1
On Train-Test Class Overlap and Detection for Image RetrievalCode0
ECtHR-PCR: A Dataset for Precedent Understanding and Prior Case Retrieval in the European Court of Human RightsCode0
CuSINeS: Curriculum-driven Structure Induced Negative Sampling for Statutory Article Retrieval—0
RQ-RAG: Learning to Refine Queries for Retrieval Augmented Generation—0
Query-driven Relevant Paragraph Extraction from Legal Judgments—0
Generative Retrieval as Multi-Vector Dense RetrievalCode1
On the Estimation of Image-matching Uncertainty in Visual Place Recognition—0
Observations on Building RAG Systems for Technical Documents—0
A Review of Modern Recommender Systems Using Generative Models (Gen-RecSys)Code2
M3D: Advancing 3D Medical Image Analysis with Multi-Modal Large Language ModelsCode3
LAKE-RED: Camouflaged Images Generation by Latent Background Knowledge Retrieval-Augmented DiffusionCode2
Aligning Large Language Models with Recommendation Knowledge—0
Do Vision-Language Models Understand Compound Nouns?Code0
Multi-hop Question Answering under Temporal Knowledge Editing—0
Planning and Editing What You Retrieve for Enhanced Tool LearningCode0
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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