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 8701–8750 of 14297 papers

TitleStatusHype
Concept Based vs. Pseudo Relevance Feedback Performance Evaluation for Information Retrieval System—0
From Semantic Retrieval to Pairwise Ranking: Applying Deep Learning in E-commerce Search—0
Concept-aware Geographic Information Retrieval—0
From Scattered Sources to Comprehensive Technology Landscape: A Recommendation-based Retrieval Approach—0
Concentric network symmetry grasps authors' styles in word adjacency networks—0
A Survey Forest Diagram : Gain a Divergent Insight View on a Specific Research Topic—0
A Curated Image Parameter Dataset from Solar Dynamics Observatory Mission—0
From Retrieval to Generation: Efficient and Effective Entity Set Expansion—0
From Retrieval to Generation: Comparing Different Approaches—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
From RAG to RICHES: Retrieval Interlaced with Sequence Generation—0
From RAG to Agentic: Validating Islamic-Medicine Responses with LLM Agents—0
Computing with Cognitive States—0
A Supervised Model for Extraction of Multiword Expressions, Based on Statistical Context Features—0
From RAGs to riches: Using large language models to write documents for clinical trials—0
From Questions to Insightful Answers: Building an Informed Chatbot for University Resources—0
Computing Lexical Contrast—0
From Protocol to Screening: A Hybrid Learning Approach for Technology-Assisted Systematic Literature Reviews—0
Computationally Efficient Labeling of Cancer Related Forum Posts by Non-Clinical Text Information Retrieval—0
A Summary of the ALQAC 2021 Competition—0
From Models to Systems: A Comprehensive Fairness Framework for Compositional Recommender Systems—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
A Benchmark for Voice-Face Cross-Modal Matching and Retrieval—0
SMART-RAG: Selection using Determinantal Matrices for Augmented Retrieval—0
From Mapping to Composing: A Two-Stage Framework for Zero-shot Composed Image Retrieval—0
Computational Approaches for App-to-App Retrieval and Design Consistency Check—0
From Local Concepts to Universals: Evaluating the Multicultural Understanding of Vision-Language Models—0
Astute RAG: Overcoming Imperfect Retrieval Augmentation and Knowledge Conflicts for Large Language Models—0
From Linguistic Resources to Ontology-Aware Terminologies: Minding the Representation Gap—0
From Language Models to Practical Self-Improving Computer Agents—0
Compressive Shift Retrieval—0
From Known to the Unknown: Transferring Knowledge to Answer Questions about Novel Visual and Semantic Concepts—0
From Keywords to Structured Summaries: Streamlining Scholarly Information Access—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
From Isolated Conversations to Hierarchical Schemas: Dynamic Tree Memory Representation for LLMs—0
From Intervention to Domain Transportation: A Novel Perspective to Optimize Recommendation—0
Compressive Phase Retrieval: Optimal Sample Complexity with Deep Generative Priors—0
From Graph Local Embedding to Deep Metric Learning—0
From Gradient Flow on Population Loss to Learning with Stochastic Gradient Descent—0
Compressive Change Retrieval for Moving Object Detection—0
A Study on the usage of Data Structures in Information Retrieval—0
From Generalist to Specialist: Improving Large Language Models for Medical Physics Using ARCoT—0
From End-User's Requirements to Web Services Retrieval: A Semantic and Intention-Driven Approach—0
Compression of Deep Neural Networks for Image Instance 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