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 3201–3250 of 14297 papers

TitleStatusHype
Efficient Document Retrieval with G-RetrieverCode0
Transparentize the Internal and External Knowledge Utilization in LLMs with Trustworthy Citation—0
ColBERT-serve: Efficient Multi-Stage Memory-Mapped Scoring—0
POLYRAG: Integrating Polyviews into Retrieval-Augmented Generation for Medical Applications—0
Don't Retrieve, Generate: Prompting LLMs for Synthetic Training Data in Dense Retrieval—0
Incremental Attractor Neural Network Modelling of the Lifespan Retrieval Curve—0
Grounding-MD: Grounded Video-language Pre-training for Open-World Moment Detection—0
FinSage: A Multi-aspect RAG System for Financial Filings Question Answering—0
LegalRAG: A Hybrid RAG System for Multilingual Legal Information Retrieval—0
Data Augmentation Using Neural Acoustic Fields With Retrieval-Augmented Pre-training—0
Hypothetical Documents or Knowledge Leakage? Rethinking LLM-based Query Expansion—0
Leveraging Automatic CAD Annotations for Supervised Learning in 3D Scene UnderstandingCode0
Multi-Stage Retrieval for Operational Technology Cybersecurity Compliance Using Large Language Models: A Railway Casestudy—0
Fashion-RAG: Multimodal Fashion Image Editing via Retrieval-Augmented Generation—0
RAG Without the Lag: Interactive Debugging for Retrieval-Augmented Generation Pipelines—0
Secure Multifaceted-RAG for Enterprise: Hybrid Knowledge Retrieval with Security Filtering—0
Validating LLM-Generated Relevance Labels for Educational Resource Search—0
Accommodate Knowledge Conflicts in Retrieval-augmented LLMs: Towards Reliable Response Generation in the Wild—0
InstructRAG: Leveraging Retrieval-Augmented Generation on Instruction Graphs for LLM-Based Task Planning—0
CSMF: Cascaded Selective Mask Fine-Tuning for Multi-Objective Embedding-Based Retrieval—0
SemCORE: A Semantic-Enhanced Generative Cross-Modal Retrieval Framework with MLLMs—0
Prototypes are Balanced Units for Efficient and Effective Partially Relevant Video Retrieval—0
FreshStack: Building Realistic Benchmarks for Evaluating Retrieval on Technical Documents—0
Aspect-Based Summarization with Self-Aspect Retrieval Enhanced Generation—0
ACoRN: Noise-Robust Abstractive Compression in Retrieval-Augmented Language Models—0
Estimating Optimal Context Length for Hybrid Retrieval-augmented Multi-document SummarizationCode0
Can LLMs reason over extended multilingual contexts? Towards long-context evaluation beyond retrieval and haystacksCode0
DART: Disease-aware Image-Text Alignment and Self-correcting Re-alignment for Trustworthy Radiology Report Generation—0
Neighbor-Based Feature and Index Enhancement for Person Re-IdentificationCode0
Optimizing Compound Retrieval Systems—0
Learning Compatible Multi-Prize Subnetworks for Asymmetric RetrievalCode0
Selective Demonstration Retrieval for Improved Implicit Hate Speech Detection—0
A Human-AI Comparative Analysis of Prompt Sensitivity in LLM-Based Relevance JudgmentCode0
Benchmarking Biopharmaceuticals Retrieval-Augmented Generation Evaluation—0
ReZero: Enhancing LLM search ability by trying one-more-time—0
CSPLADE: Learned Sparse Retrieval with Causal Language Models—0
Efficient Distributed Retrieval-Augmented Generation for Enhancing Language Model Performance—0
PATFinger: Prompt-Adapted Transferable Fingerprinting against Unauthorized Multimodal Dataset Usage—0
Reinforcing Compositional Retrieval: Retrieving Step-by-Step for Composing Informative ContextsCode0
LayoutCoT: Unleashing the Deep Reasoning Potential of Large Language Models for Layout Generation—0
TMCIR: Token Merge Benefits Composed Image Retrieval—0
Visual Re-Ranking with Non-Visual Side InformationCode0
Understanding LLMs' Cross-Lingual Context Retrieval: How Good It Is And Where It Comes FromCode0
Streamlining Biomedical Research with Specialized LLMs—0
Towards Efficient Partially Relevant Video Retrieval with Active Moment DiscoveringCode0
TADACap: Time-series Adaptive Domain-Aware Captioning—0
Brain-Machine Interfaces & Information Retrieval Challenges and Opportunities—0
MMKB-RAG: A Multi-Modal Knowledge-Based Retrieval-Augmented Generation Framework—0
The Future of MLLM Prompting is Adaptive: A Comprehensive Experimental Evaluation of Prompt Engineering Methods for Robust Multimodal Performance—0
Reasoning Court: Combining Reasoning, Action, and Judgment for Multi-Hop Reasoning—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