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 3951–4000 of 14297 papers

TitleStatusHype
TimeRAF: Retrieval-Augmented Foundation model for Zero-shot Time Series Forecasting—0
GliLem: Leveraging GliNER for Contextualized Lemmatization in Estonian—0
STAYKATE: Hybrid In-Context Example Selection Combining Representativeness Sampling and Retrieval-based Approach -- A Case Study on Science Domains—0
FashionFAE: Fine-grained Attributes Enhanced Fashion Vision-Language Pre-training—0
Semantic Residual for Multimodal Unified Discrete Representation—0
ViPCap: Retrieval Text-Based Visual Prompts for Lightweight Image CaptioningCode0
Optimizing Multi-Stage Language Models for Effective Text Retrieval—0
Reversed in Time: A Novel Temporal-Emphasized Benchmark for Cross-Modal Video-Text RetrievalCode0
Research Experiment on Multi-Model Comparison for Chinese Text Classification Tasks—0
FOR: Finetuning for Object Level Open Vocabulary Image Retrieval—0
On the Robustness of Generative Information Retrieval ModelsCode0
Neural auto-association with optimal Bayesian learning—0
Efficient Long Context Language Model Retrieval with Compression—0
Improving Factuality with Explicit Working Memory—0
DynaGRAG | Exploring the Topology of Information for Advancing Language Understanding and Generation in Graph Retrieval-Augmented Generation—0
GeAR: Graph-enhanced Agent for Retrieval-augmented Generation—0
Molly: Making Large Language Model Agents Solve Python Problem More Logically—0
ERVD: An Efficient and Robust ViT-Based Distillation Framework for Remote Sensing Image RetrievalCode0
Pirates of the RAG: Adaptively Attacking LLMs to Leak Knowledge Bases—0
Contrato360 2.0: A Document and Database-Driven Question-Answer System using Large Language Models and Agents—0
SyNeg: LLM-Driven Synthetic Hard-Negatives for Dense Retrieval—0
A Survey of Query Optimization in Large Language Models—0
COBRA: COmBinatorial Retrieval Augmentation for Few-Shot Adaptation—0
Leveraging Memory Retrieval to Enhance LLM-based Generative Recommendation—0
Dynamic Multi-Agent Orchestration and Retrieval for Multi-Source Question-Answer Systems using Large Language Models—0
RAGONITE: Iterative Retrieval on Induced Databases and Verbalized RDF for Conversational QA over KGs with RAG—0
Iterative NLP Query Refinement for Enhancing Domain-Specific Information Retrieval: A Case Study in Career ServicesCode0
MINTQA: A Multi-Hop Question Answering Benchmark for Evaluating LLMs on New and Tail KnowledgeCode0
GME: Improving Universal Multimodal Retrieval by Multimodal LLMs—0
A Reality Check on Context Utilisation for Retrieval-Augmented GenerationCode0
TimeRAG: BOOSTING LLM Time Series Forecasting via Retrieval-Augmented Generation—0
Formal Language Knowledge Corpus for Retrieval Augmented Generation—0
Speech Retrieval-Augmented Generation without Automatic Speech Recognition—0
AlzheimerRAG: Multimodal Retrieval Augmented Generation for PubMed articles—0
Towards More Robust Retrieval-Augmented Generation: Evaluating RAG Under Adversarial Poisoning AttacksCode0
Large Language Model Can Be a Foundation for Hidden Rationale-Based RetrievalCode0
PolySmart @ TRECVid 2024 Medical Video Question Answering—0
PolySmart and VIREO @ TRECVid 2024 Ad-hoc Video Search—0
Know2Vec: A Black-Box Proxy for Neural Network RetrievalCode0
MRAG: A Modular Retrieval Framework for Time-Sensitive Question Answering—0
HybGRAG: Hybrid Retrieval-Augmented Generation on Textual and Relational Knowledge Bases—0
Query pipeline optimization for cancer patient question answering systems—0
Face the Facts! Evaluating RAG-based Fact-checking Pipelines in Realistic SettingsCode0
Progressive Multimodal Reasoning via Active Retrieval—0
Dehallucinating Parallel Context Extension for Retrieval-Augmented Generation—0
Balanced Gradient Sample Retrieval for Enhanced Knowledge Retention in Proxy-based Continual Learning—0
CORD: Balancing COnsistency and Rank Distillation for Robust Retrieval-Augmented Generation—0
Review-Then-Refine: A Dynamic Framework for Multi-Hop Question Answering with Temporal Adaptability—0
VISA: Retrieval Augmented Generation with Visual Source Attribution—0
ECLIPSE: Contrastive Dimension Importance Estimation with Pseudo-Irrelevance Feedback for Dense Retrieval—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