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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 4901–4950 of 14297 papers

TitleStatusHype
A Survey of Data Mining Techniques for Social Media Analysis—0
Fréchet Distance for Offline Evaluation of Information Retrieval Systems with Sparse Labels—0
Conditional Cross Attention Network for Multi-Space Embedding without Entanglement in Only a SINGLE Network—0
A Survey of Conversational Search—0
A Survey of Controllable Learning: Methods and Applications in Information Retrieval—0
Align-GRAG: Reasoning-Guided Dual Alignment for Graph Retrieval-Augmented Generation—0
SMART-RAG: Selection using Determinantal Matrices for Augmented Retrieval—0
Free-ATM: Exploring Unsupervised Learning on Diffusion-Generated Images with Free Attention Masks—0
FreeSeg: Free Mask from Interpretable Contrastive Language-Image Pretraining for Semantic Segmentation—0
A Survey of Context Engineering for Large Language Models—0
Conceptualizing Machine Learning for Dynamic Information Retrieval of Electronic Health Record Notes—0
Align-Free Multi-Plane Phase Retrieval—0
Concept Embedding for Information Retrieval—0
ConceptCarve: Dynamic Realization of Evidence—0
A Survey in Mathematical Language Processing—0
FraGNNet: A Deep Probabilistic Model for Mass Spectrum Prediction—0
Concept Based vs. Pseudo Relevance Feedback Performance Evaluation for Information Retrieval System—0
Concept-aware Geographic Information Retrieval—0
A Survey Forest Diagram : Gain a Divergent Insight View on a Specific Research Topic—0
Concentric network symmetry grasps authors' styles in word adjacency networks—0
A Curated Image Parameter Dataset from Solar Dynamics Observatory Mission—0
A Benchmark for Voice-Face Cross-Modal Matching and Retrieval—0
ConaCLIP: Exploring Distillation of Fully-Connected Knowledge Interaction Graph for Lightweight Text-Image Retrieval—0
ComRAG: Retrieval-Augmented Generation with Dynamic Vector Stores for Real-time Community Question Answering in Industry—0
Assessing the behavior and performance of a supervised term-weighting technique for topic-based retrieval—0
Computing with Cognitive States—0
A Supervised Model for Extraction of Multiword Expressions, Based on Statistical Context Features—0
Fractional Local Neighborhood Intensity Pattern for Image Retrieval using Genetic Algorithm—0
Computing Lexical Contrast—0
Computationally Efficient Labeling of Cancer Related Forum Posts by Non-Clinical Text Information Retrieval—0
A Summary of the ALQAC 2021 Competition—0
Computationally Bounded Retrieval—0
A Sub-block Based Image Retrieval Using Modified Integrated Region Matching—0
Align, Adapt and Inject: Sound-guided Unified Image Generation—0
FRAG: A Flexible Modular Framework for Retrieval-Augmented Generation based on Knowledge Graphs—0
FREESON: Retriever-Free Retrieval-Augmented Reasoning via Corpus-Traversing MCTS—0
Computational Approaches for App-to-App Retrieval and Design Consistency Check—0
Astute RAG: Overcoming Imperfect Retrieval Augmentation and Knowledge Conflicts for Large Language Models—0
Compressive Shift Retrieval—0
Compressive Quantization for Fast Object Instance Search in Videos—0
A Study on Using Transfer Learning to Improve BERT Model for Emotional Classification of Chinese Lyrics—0
Align2Ground: Weakly Supervised Phrase Grounding Guided by Image-Caption Alignment—0
Compressive Phase Retrieval: Optimal Sample Complexity with Deep Generative Priors—0
Compressive Change Retrieval for Moving Object Detection—0
A Study on the usage of Data Structures in Information Retrieval—0
Compression of Deep Neural Networks for Image Instance Retrieval—0
Compression of Deep Learning Models for Text: A Survey—0
A study on the Interpretability of Neural Retrieval Models using DeepSHAP—0
ACTNET: end-to-end learning of feature activations and multi-stream aggregation for effective instance image retrieval—0
A Simplified Retriever to Improve Accuracy of Phenotype Normalizations by Large Language Models—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