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 3201–3225 of 14297 papers

TitleStatusHype
CHESS: Contextual Harnessing for Efficient SQL SynthesisCode3
M-RAG: Reinforcing Large Language Model Performance through Retrieval-Augmented Generation with Multiple Partitions—0
Disentangling and Integrating Relational and Sensory Information in Transformer ArchitecturesCode0
Cocktail: A Comprehensive Information Retrieval Benchmark with LLM-Generated Documents IntegrationCode1
GRAG: Graph Retrieval-Augmented GenerationCode3
Towards Unlocking Insights from Logbooks Using AI—0
An Empirical Study of Excitation and Aggregation Design Adaptions in CLIP4Clip for Video-Text Retrieval—0
Accelerating Inference of Retrieval-Augmented Generation via Sparse Context Selection—0
SynthAI: A Multi Agent Generative AI Framework for Automated Modular HLS Design GenerationCode1
Active Learning for Finely-Categorized Image-Text Retrieval by Selecting Hard Negative Unpaired Samples—0
Generating clickbait spoilers with an ensemble of large language models—0
Towards Completeness-Oriented Tool Retrieval for Large Language ModelsCode1
Evaluating and Safeguarding the Adversarial Robustness of Retrieval-Based In-Context LearningCode0
RAEE: A Robust Retrieval-Augmented Early Exiting Framework for Efficient Inference—0
Shopping Queries Image Dataset (SQID): An Image-Enriched ESCI Dataset for Exploring Multimodal Learning in Product SearchCode1
Self-distilled Dynamic Fusion Network for Language-based Fashion Retrieval—0
Composed Image Retrieval for Remote SensingCode2
Certifiably Robust RAG against Retrieval CorruptionCode1
Optimizing example selection for retrieval-augmented machine translation with translation memories—0
Linking In-context Learning in Transformers to Human Episodic MemoryCode0
RE-Adapt: Reverse Engineered Adaptation of Large Language Models—0
AGRaME: Any-Granularity Ranking with Multi-Vector Embeddings—0
Look into the Future: Deep Contextualized Sequential Recommendation—0
ASI++: Towards Distributionally Balanced End-to-End Generative Retrieval—0
Retrieval-Augmented Mining of Temporal Logic Specifications from Data—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