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 4501–4550 of 14297 papers

TitleStatusHype
PAR: Prompt-Aware Token Reduction Method for Efficient Large Multimodal Models—0
Exploiting Distribution Constraints for Scalable and Efficient Image Retrieval—0
Context-Augmented Code Generation Using Programming Knowledge Graphs—0
LaMP: Language-Motion Pretraining for Motion Generation, Retrieval, and Captioning—0
Astute RAG: Overcoming Imperfect Retrieval Augmentation and Knowledge Conflicts for Large Language Models—0
The Cognitive Capabilities of Generative AI: A Comparative Analysis with Human Benchmarks—0
Performance Evaluation in Multimedia Retrieval—0
An Overview of zbMATH Open Digital Library—0
GLRT-Based Metric Learning for Remote Sensing Object Retrieval—0
Retrieving, Rethinking and Revising: The Chain-of-Verification Can Improve Retrieval Augmented Generation—0
Beyond Captioning: Task-Specific Prompting for Improved VLM Performance in Mathematical Reasoning—0
Automating Bibliometric Analysis with Sentence Transformers and Retrieval-Augmented Generation (RAG): A Pilot Study in Semantic and Contextual Search for Customized Literature Characterization for High-Impact Urban Research—0
Long-Context LLMs Meet RAG: Overcoming Challenges for Long Inputs in RAG—0
Improving Embedding Accuracy for Document Retrieval Using Entity Relationship Maps and Model-Aware Contrastive Sampling—0
Temporal Image Caption Retrieval Competition -- Description and Results—0
Application of NotebookLM, a Large Language Model with Retrieval-Augmented Generation, for Lung Cancer Staging—0
TableRAG: Million-Token Table Understanding with Language ModelsCode0
ReasoningRank: Teaching Student Models to Rank through Reasoning-Based Knowledge Distillation—0
Deciphering the Interplay of Parametric and Non-parametric Memory in Retrieval-augmented Language ModelsCode0
DAAL: Density-Aware Adaptive Line Margin Loss for Multi-Modal Deep Metric LearningCode0
LLaVA Needs More Knowledge: Retrieval Augmented Natural Language Generation with Knowledge Graph for Explaining Thoracic PathologiesCode0
Contrastive Learning to Improve Retrieval for Real-world Fact Checking—0
VLM2Vec: Training Vision-Language Models for Massive Multimodal Embedding Tasks—0
On the Biased Assessment of Expert Finding Systems—0
GARLIC: LLM-Guided Dynamic Progress Control with Hierarchical Weighted Graph for Long Document QA—0
Driving with Regulation: Interpretable Decision-Making for Autonomous Vehicles with Retrieval-Augmented Reasoning via LLM—0
Passage Retrieval of Polish Texts Using OKAPI BM25 and an Ensemble of Cross EncodersCode0
Inference Scaling for Long-Context Retrieval Augmented Generation—0
Long-context Language Models Cannot Retrieve Without Sufficient StepsCode0
TANGO: Co-Speech Gesture Video Reenactment with Hierarchical Audio Motion Embedding and Diffusion Interpolation—0
Metadata-based Data Exploration with Retrieval-Augmented Generation for Large Language Models—0
Discovering Biases in Information Retrieval Models Using Relevance Thesaurus as Global Explanation—0
Scalable Frame-based Construction of Sociocultural NormBases for Socially-Aware Dialogues—0
MLLM as Retriever: Interactively Learning Multimodal Retrieval for Embodied Agents—0
Data-Efficient Massive Tool Retrieval: A Reinforcement Learning Approach for Query-Tool Alignment with Language Models—0
Permissive Information-Flow Analysis for Large Language Models—0
Auto-GDA: Automatic Domain Adaptation for Efficient Grounding Verification in Retrieval Augmented Generation—0
A Multi-model Approach for Video Data Retrieval in Autonomous Vehicle Development—0
ALR^2: A Retrieve-then-Reason Framework for Long-context Question Answering—0
A Large Language Model-based Framework for Semi-Structured Tender Document Retrieval-Augmented Generation—0
GraphIC: A Graph-Based In-Context Example Retrieval Model for Multi-Step Reasoning—0
Domain-Specific Retrieval-Augmented Generation Using Vector Stores, Knowledge Graphs, and Tensor Factorization—0
Task-free Lifelong Robot Learning with Retrieval-based Weighted Local Adaptation—0
Attention in Large Language Models Yields Efficient Zero-Shot Re-Rankers—0
Contextual Document Embeddings—0
Streamlining Conformal Information Retrieval via Score Refinement—0
CoLLAP: Contrastive Long-form Language-Audio Pretraining with Musical Temporal Structure Augmentation—0
Unified Multimodal Interleaved Document Representation for Retrieval—0
Reward-RAG: Enhancing RAG with Reward Driven Supervision—0
A Comprehensive Survey of Retrieval-Augmented Generation (RAG): Evolution, Current Landscape and Future Directions—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