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 7426–7450 of 14297 papers

TitleStatusHype
Learning Low Dimensional Convolutional Neural Networks for High-Resolution Remote Sensing Image Retrieval—0
Learning Matching Models with Weak Supervision for Response Selection in Retrieval-based Chatbots—0
Learning Material-Aware Local Descriptors for 3D Shapes—0
Audio Captioning using Pre-Trained Large-Scale Language Model Guided by Audio-based Similar Caption Retrieval—0
How to Make Cross Encoder a Good Teacher for Efficient Image-Text Retrieval?—0
How to Handle Sketch-Abstraction in Sketch-Based Image Retrieval?—0
Covariance Descriptors for 3D Shape Matching and Retrieval—0
Learning More From Less: Towards Strengthening Weak Supervision for Ad-Hoc Retrieval—0
Learning Multifunctional Binary Codes for Both Category and Attribute Oriented Retrieval Tasks—0
How to do lexical quality estimation of a large OCRed historical Finnish newspaper collection with scarce resources—0
Learning Multi-Modal Nonlinear Embeddings: Performance Bounds and an Algorithm—0
Coupling Symbolic Reasoning with Language Modeling for Efficient Longitudinal Understanding of Unstructured Electronic Medical Records—0
How to Build Robust FAQ Chatbot with Controllable Question Generator?—0
How to Build an AI Tutor That Can Adapt to Any Course Using Knowledge Graph-Enhanced Retrieval-Augmented Generation (KG-RAG)—0
Coupling Retrieval and Meta-Learning for Context-Dependent Semantic Parsing—0
Audiobox TTA-RAG: Improving Zero-Shot and Few-Shot Text-To-Audio with Retrieval-Augmented Generation—0
Learning Non-Metric Visual Similarity for Image Retrieval—0
A Model-Agnostic Framework for Recommendation via Interest-aware Item Embeddings—0
How the Advent of Ubiquitous Large Language Models both Stymie and Turbocharge Dynamic Adversarial Question Generation—0
Learning of Precise Spike Times with Membrane Potential Dependent Synaptic Plasticity—0
Learning Open Domain Multi-hop Search Using Reinforcement Learning—0
Coupled Neural Associative Memories—0
How Robust are Fact Checking Systems on Colloquial Claims?—0
Learning Parametric Distributions for Image Super-Resolution: Where Patch Matching Meets Sparse Coding—0
Coupled intrinsic and extrinsic human language resource-based query expansion—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