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 1201–1250 of 14297 papers

TitleStatusHype
Human-Aligned Image Models Improve Visual Decoding from the Brain—0
Control Search Rankings, Control the World: What is a Good Search Engine?—0
Scientometric Analysis of the German IR Community within TREC & CLEF—0
MARAGE: Transferable Multi-Model Adversarial Attack for Retrieval-Augmented Generation Data Extraction—0
Spatial-RAG: Spatial Retrieval Augmented Generation for Real-World Geospatial Reasoning Questions—0
SCALM: Detecting Bad Practices in Smart Contracts Through LLMs—0
Personalization Toolkit: Training Free Personalization of Large Vision Language Models—0
Conversation AI Dialog for Medicare powered by Finetuning and Retrieval Augmented Generation—0
Rankify: A Comprehensive Python Toolkit for Retrieval, Re-Ranking, and Retrieval-Augmented GenerationCode4
VideoRAG: Retrieval-Augmented Generation with Extreme Long-Context VideosCode7
ChartCitor: Multi-Agent Framework for Fine-Grained Chart Visual Attribution—0
VisTA: Vision-Text Alignment Model with Contrastive Learning using Multimodal Data for Evidence-Driven, Reliable, and Explainable Alzheimer's Disease Diagnosis—0
DeepRAG: Thinking to Retrieval Step by Step for Large Language Models—0
PtyGenography: using generative models for regularization of the phase retrieval problem—0
Position: Towards a Responsible LLM-empowered Multi-Agent Systems—0
Topic-FlipRAG: Topic-Orientated Adversarial Opinion Manipulation Attacks to Retrieval-Augmented Generation Models—0
GFM-RAG: Graph Foundation Model for Retrieval Augmented GenerationCode3
RealRAG: Retrieval-augmented Realistic Image Generation via Self-reflective Contrastive Learning—0
On Overlap Ratio in Defocused Electron Ptychography—0
Enhancing Code Consistency in AI Research with Large Language Models and Retrieval-Augmented Generation—0
Riddle Me This! Stealthy Membership Inference for Retrieval-Augmented GenerationCode1
Text Data Augmentation for Large Language Models: A Comprehensive Survey of Methods, Challenges, and Opportunities—0
Self-Supervised Cross-Modal Text-Image Time Series Retrieval in Remote Sensing—0
mFollowIR: a Multilingual Benchmark for Instruction Following in RetrievalCode2
LLM Program Optimization via Retrieval Augmented Search—0
Emancipatory Information Retrieval—0
Illusions of Relevance: Using Content Injection Attacks to Deceive Retrievers, Rerankers, and LLM JudgesCode0
Hierarchical Multi-field Representations for Two-Stage E-commerce Retrieval—0
RbFT: Robust Fine-tuning for Retrieval-Augmented Generation against Retrieval DefectsCode1
Can we Retrieve Everything All at Once? ARM: An Alignment-Oriented LLM-based Retrieval Method—0
Leveraging In-Context Learning and Retrieval-Augmented Generation for Automatic Question Generation in Educational Domains—0
WARP: An Efficient Engine for Multi-Vector Retrieval—0
Solving Inverse Problems using Diffusion with Fast Iterative Renoising—0
Open-Source Retrieval Augmented Generation Framework for Retrieving Accurate Medication Insights from Formularies for African Healthcare Workers—0
Balancing Content Size in RAG-Text2SQL System—0
SafeRAG: Benchmarking Security in Retrieval-Augmented Generation of Large Language ModelCode2
LLM-AutoDiff: Auto-Differentiate Any LLM WorkflowCode7
Enhanced Retrieval of Long Documents: Leveraging Fine-Grained Block Representations with Large Language Models—0
Optimizing Code Runtime Performance through Context-Aware Retrieval-Augmented GenerationCode0
Document Screenshot Retrievers are Vulnerable to Pixel Poisoning AttacksCode0
Making Sense of Data in the Wild: Data Analysis Automation at Scale—0
Options-Aware Dense Retrieval for Multiple-Choice query Answering—0
Parametric Retrieval Augmented GenerationCode3
PISCO: Pretty Simple Compression for Retrieval-Augmented Generation—0
INRet: A General Framework for Accurate Retrieval of INRs for Shapes—0
RAPID: Retrieval-Augmented Parallel Inference Drafting for Text-Based Video Event Retrieval—0
Separate This, and All of these Things Around It: Music Source Separation via Hyperellipsoidal Queries—0
Provence: efficient and robust context pruning for retrieval-augmented generation—0
SEAL: Speech Embedding Alignment Learning for Speech Large Language Model with Retrieval-Augmented Generation—0
Unveiling the Potential of Multimodal Retrieval Augmented Generation with Planning—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