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 5701–5750 of 14297 papers

TitleStatusHype
Give Me More Details: Improving Fact-Checking with Latent Retrieval—0
GIVE: Structured Reasoning with Knowledge Graph Inspired Veracity Extrapolation—0
A Simple and Plug-and-play Method for Unsupervised Sentence Representation Enhancement—0
GLAD: Global-Local-Alignment Descriptor for Pedestrian Retrieval—0
Fashion Image-to-Image Translation for Complementary Item Retrieval—0
Context Tuning for Retrieval Augmented Generation—0
Fashion Image Retrieval with Multi-Granular Alignment—0
Coding local and global binary visual features extracted from video sequences—0
AAformer: Auto-Aligned Transformer for Person Re-Identification—0
GliLem: Leveraging GliNER for Contextualized Lemmatization in Estonian—0
Fashion Focus: Multi-modal Retrieval System for Video Commodity Localization in E-commerce—0
Coding for Random Projections—0
FashionFAE: Fine-grained Attributes Enhanced Fashion Vision-Language Pre-training—0
Global Convergence of Model Function Based Bregman Proximal Minimization Algorithms—0
A Simple and Efficient Probabilistic Language model for Code-Mixed Text—0
Global Image Sentiment Transfer—0
Global–Local Information Soft-Alignment for Cross-Modal Remote-Sensing Image–Text Retrieval—0
Global Ranking Using Continuous Conditional Random Fields—0
HyPA-RAG: A Hybrid Parameter Adaptive Retrieval-Augmented Generation System for AI Legal and Policy Applications—0
Sequential Recommender via Time-aware Attentive Memory Network—0
FaNS: a Facet-based Narrative Similarity Metric—0
GLRT-Based Metric Learning for Remote Sensing Object Retrieval—0
"Glue pizza and eat rocks" -- Exploiting Vulnerabilities in Retrieval-Augmented Generative Models—0
GME: Improving Universal Multimodal Retrieval by Multimodal LLMs—0
GMM-Based Comprehensive Feature Extraction and Relative Distance Preservation For Few-Shot Cross-Modal Retrieval—0
CodeXEmbed: A Generalist Embedding Model Family for Multiligual and Multi-task Code Retrieval—0
A Critical Review of Causal Reasoning Benchmarks for Large Language Models—0
FaMTEB: Massive Text Embedding Benchmark in Persian Language—0
Code to Comment "Translation": Data, Metrics, Baselining & Evaluation—0
Code-switched inspired losses for spoken dialog representations—0
A Simple and Effective Method of Cross-Lingual Plagiarism Detection—0
Async Learned User Embeddings for Ads Delivery Optimization—0
Hybrid Retrieval-Generation Reinforced Agent for Medical Image Report Generation—0
FAKTA: An Automatic End-to-End Fact Checking System—0
Code-switched inspired losses for generic spoken dialog representations—0
Faithful learning with sure data for lung nodule diagnosis—0
CodeSwift: Accelerating LLM Inference for Efficient Code Generation—0
good4cir: Generating Detailed Synthetic Captions for Composed Image Retrieval—0
Good/Evil Reputation Judgment of Celebrities by LLMs via Retrieval Augmented Generation—0
A Shallow High-Order Parametric Approach to Data Visualization and Compression—0
Google Landmark Retrieval 2021 Competition Third Place Solution—0
ACR: A Benchmark for Automatic Cohort Retrieval—0
Fair ranking: a critical review, challenges, and future directions—0
AI for Climate Finance: Agentic Retrieval and Multi-Step Reasoning for Early Warning System Investments—0
Hybrid Retrieval and Multi-stage Text Ranking Solution at TREC 2022 Deep Learning Track—0
Hybrid-RACA: Hybrid Retrieval-Augmented Composition Assistance for Real-time Text Prediction—0
GPL: Generative Pseudo Labeling for Unsupervised Domain Adaptation of Dense Retrieval—0
HyCIR: Boosting Zero-Shot Composed Image Retrieval with Synthetic Labels—0
FairRAG: Fair Human Generation via Fair Retrieval Augmentation—0
FAIR-QR: Enhancing Fairness-aware Information Retrieval through Query Refinement—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