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 4026–4050 of 14297 papers

TitleStatusHype
Effective Controllable Bias Mitigation for Classification and Retrieval using Gate AdaptersCode0
Vocabulary-Defined Semantics: Latent Space Clustering for Improving In-Context Learning—0
MT-HCCAR: Multi-Task Deep Learning with Hierarchical Classification and Attention-based Regression for Cloud Property RetrievalCode0
Corrective Retrieval Augmented GenerationCode3
KAUCUS: Knowledge Augmented User Simulators for Training Language Model Assistants—0
Textual Entailment for Effective Triple Validation in Object PredictionCode0
LLM4Vuln: A Unified Evaluation Framework for Decoupling and Enhancing LLMs' Vulnerability Reasoning—0
Cross-Modal Coordination Across a Diverse Set of Input Modalities—0
Fine-Tuned Large Language Models for Symptom Recognition from Spanish Clinical Text—0
PILOT: Legal Case Outcome Prediction with Case Law—0
Enhancing Large Language Model Performance To Answer Questions and Extract Information More Accurately—0
MultiHop-RAG: Benchmarking Retrieval-Augmented Generation for Multi-Hop QueriesCode3
Music Auto-Tagging with Robust Music Representation Learned via Domain Adversarial Training—0
Transformer-based Clipped Contrastive Quantization Learning for Unsupervised Image Retrieval—0
DataFrame QA: A Universal LLM Framework on DataFrame Question Answering Without Data Exposure—0
Improving Medical Reasoning through Retrieval and Self-Reflection with Retrieval-Augmented Large Language ModelsCode2
From RAG to QA-RAG: Integrating Generative AI for Pharmaceutical Regulatory Compliance ProcessCode1
Expressivity-aware Music Performance Retrieval using Mid-level Perceptual Features and Emotion Word Embeddings—0
The Power of Noise: Redefining Retrieval for RAG SystemsCode2
Recency Ranking by Diversification of Result Set—0
K-QA: A Real-World Medical Q&A BenchmarkCode1
Ta'keed: The First Generative Fact-Checking System for Arabic Claims—0
Accelerating Retrieval-Augmented Language Model Serving with Speculation—0
Towards 3D Molecule-Text Interpretation in Language ModelsCode2
It's About Time: Incorporating Temporality in Retrieval Augmented Language Models—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