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 5101–5150 of 14297 papers

TitleStatusHype
Generating Followup Questions for Interpretable Multi-hop Question Answering—0
ASRank: Zero-Shot Re-Ranking with Answer Scent for Document Retrieval—0
Combining Deep Neural Reranking and Unsupervised Extraction for Multi-Query Focused Summarization—0
Compact Scene Graphs for Layout Composition and Patch Retrieval—0
Combining data assimilation and machine learning to emulate a dynamical model from sparse and noisy observations: a case study with the Lorenz 96 model—0
Action in Mind: A Neural Network Approach to Action Recognition and Segmentation—0
Generating clickbait spoilers with an ensemble of large language models—0
Combating Corrupt Messages in Sparse Clustered Associative Memories—0
ASPER: Attention-based Approach to Extract Syntactic Patterns denoting Semantic Relations in Sentential Context—0
A Spectral Estimation Framework for Phase Retrieval via Bregman Divergence Minimization—0
COMAE: COMprehensive Attribute Exploration for Zero-shot Hashing—0
A Joint Network for Grasp Detection Conditioned on Natural Language Commands—0
A Bag of Visual Words Model for Medical Image Retrieval—0
Generating Code with the Help of Retrieved Template Functions and Stack Overflow Answers—0
COM3D: Leveraging Cross-View Correspondence and Cross-Modal Mining for 3D Retrieval—0
Column sampling based discrete supervised hashing—0
AspectCSE: Sentence Embeddings for Aspect-based Semantic Textual Similarity Using Contrastive Learning and Structured Knowledge—0
Aspect Classification for Legal Depositions—0
A Joint Approach to Compound Splitting and Idiomatic Compound Detection—0
Colo-SCRL: Self-Supervised Contrastive Representation Learning for Colonoscopic Video Retrieval—0
Color Texture Image Retrieval Based on Copula Multivariate Modeling in the Shearlet Domain—0
Aspect-Based Summarization with Self-Aspect Retrieval Enhanced Generation—0
Color Image Retrieval Using Fuzzy Measure Hamming and S-Tree—0
ColorFlow: Retrieval-Augmented Image Sequence Colorization—0
Aspect-based Academic Search using Domain-specific KB—0
AI-Supported Platform for System Monitoring and Decision-Making in Nuclear Waste Management with Large Language Models—0
Action-Centered Information Retrieval—0
Generating Compositional Color Representations from Text—0
Generating Media Background Checks for Automated Source Critical Reasoning—0
Colored Kimia Path24 Dataset: Configurations and Benchmarks with Deep Embeddings—0
Color Counting for Fashion, Art, and Design—0
whu-nercms at trecvid2021:instance search task—0
Color and Shape Content Based Image Classification using RBF Network and PSO Technique: A Survey—0
A SOUND APPROACH: Using Large Language Models to generate audio descriptions for egocentric text-audio retrieval—0
ActionBert: Leveraging User Actions for Semantic Understanding of User Interfaces—0
A Social Search Model for Large Scale Social Networks—0
Collective Matrix Factorization Hashing for Multimodal Data—0
ASL Citizen: A Community-Sourced Dataset for Advancing Isolated Sign Language Recognition—0
Collapse of Dense Retrievers: Short, Early, and Literal Biases Outranking Factual Evidence—0
Generating Adaptive and Robust Filter Sets Using an Unsupervised Learning Framework—0
CoLLAP: Contrastive Long-form Language-Audio Pretraining with Musical Temporal Structure Augmentation—0
IoT Network Security from the Perspective of Adversarial Deep Learning—0
Collaborative Visual Place Recognition through Federated Learning—0
Collaborative Summarization of Topic-Related Videos—0
AirRAG: Activating Intrinsic Reasoning for Retrieval Augmented Generation via Tree-based Search—0
Generate-then-Retrieve: Intent-Aware FAQ Retrieval in Product Search—0
Collaborative Semantic Communication for Edge Inference—0
Ask Optimal Questions: Aligning Large Language Models with Retriever's Preference in Conversational Search—0
Collaborative Multi-modal deep learning for the personalized product retrieval in Facebook Marketplace—0
Ask Me What You Need: Product Retrieval using Knowledge from GPT-3—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