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 3351–3375 of 14297 papers

TitleStatusHype
DCAF: A Dynamic Computation Allocation Framework for Online Serving System—0
Dbnary: Wiktionary as a LMF based Multilingual RDF network—0
AutoRAG-HP: Automatic Online Hyper-Parameter Tuning for Retrieval-Augmented Generation—0
2-bit Model Compression of Deep Convolutional Neural Network on ASIC Engine for Image Retrieval—0
DAWT: Densely Annotated Wikipedia Texts across multiple languages—0
Dave the debater: a retrieval-based and generative argumentative dialogue agent—0
DAug: Diffusion-based Channel Augmentation for Radiology Image Retrieval and Classification—0
DAtRNet: Disentangling Fashion Attribute Embedding for Substitute Item Retrieval—0
Addressing Hallucinations in Language Models with Knowledge Graph Embeddings as an Additional Modality—0
Distilling Vision-Language Pretraining for Efficient Cross-Modal Retrieval—0
Date-Field Retrieval in Scene Image and Video Frames using Text Enhancement and Shape Coding—0
Answering Any-hop Open-domain Questions with Iterative Document Reranking—0
Autonomous robots and the SP theory of intelligence—0
Debate as Optimization: Adaptive Conformal Prediction and Diverse Retrieval for Event Extraction—0
Analyzing the Effectiveness of Listwise Reranking with Positional Invariance on Temporal Generalizability—0
Debiasing Neural Retrieval via In-batch Balancing Regularization—0
Analyzing 'Near Me' Services: Potential for Exposure Bias in Location-based Retrieval—0
DistillPose: Lightweight Camera Localization Using Auxiliary Learning—0
Autonomous Radiotherapy Treatment Planning Using DOLA: A Privacy-Preserving, LLM-Based Optimization Agent—0
DAT: Dynamic Alpha Tuning for Hybrid Retrieval in Retrieval-Augmented Generation—0
Analyzing Local Representations of Self-supervised Vision Transformers—0
Avalanches and Generalized Memory Associativity in a Network Model for Conscious and Unconscious Mental Functioning—0
Dataset vs Reality: Understanding Model Performance from the Perspective of Information Need—0
Datasets for Multilingual Answer Sentence Selection—0
Semantic Caching of Contextual Summaries for Efficient Question-Answering with 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