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 10201–10250 of 14297 papers

TitleStatusHype
Method for Determining the Similarity of Text Documents for the Kazakh language, Taking Into Account Synonyms: Extension to TF-IDF—0
Method for the generation of depth images for view-based shape retrieval of 3D CAD model from partial point cloud—0
Method of Tibetan Person Knowledge Extraction—0
Methodology for identifying study sites in scientific corpus—0
Methods and advancement of content-based fashion image retrieval: A Review—0
Methods and Tools to Advance the Retrieval of Mathematical Knowledge from Digital Libraries for Search-, Recommendation-, and Assistance-Systems—0
Methods for Computing Legal Document Similarity: A Comparative Study—0
Methods for Legal Citation Prediction in the Age of LLMs: An Australian Law Case Study—0
Metric-agnostic Ranking Optimization—0
Metric Imitation by Manifold Transfer for Efficient Vision Applications—0
Metric Learning as a Service with Covariance Embedding—0
Metric Learning vs Classification for Disentangled Music Representation Learning—0
MetricOpt: Learning to Optimize Black-Box Evaluation Metrics—0
mGTE: Generalized Long-Context Text Representation and Reranking Models for Multilingual Text Retrieval—0
MHTN: Modal-adversarial Hybrid Transfer Network for Cross-modal Retrieval—0
MIA 2022 Shared Task: Evaluating Cross-lingual Open-Retrieval Question Answering for 16 Diverse Languages—0
MIA 2022 Shared Task Submission: Leveraging Entity Representations, Dense-Sparse Hybrids, and Fusion-in-Decoder for Cross-Lingual Question Answering—0
MIaS: Math-Aware Retrieval in Digital Mathematical Libraries—0
MIC: Model-agnostic Integrated Cross-channel Recommenders—0
Microblog Retrieval for Post-Disaster Relief: Applying and Comparing Neural IR Models—0
MiCRO: Multi-interest Candidate Retrieval Online—0
MICRON: Multigranular Interaction for Contextualizing RepresentatiON in Non-factoid Question Answering—0
MicroNN: An On-device Disk-resident Updatable Vector Database—0
Migratable AI: Personalizing Dialog Conversations with migration context—0
Migration-Related Semantic Concepts for the Retrieval of Relevant Video Content—0
Miko Team: Deep Learning Approach for Legal Question Answering in ALQAC 2022—0
MiLQ: Benchmarking IR Models for Bilingual Web Search with Mixed Language Queries—0
MINDECHO: Role-Playing Language Agents for Key Opinion Leaders—0
Mindful-RAG: A Study of Points of Failure in Retrieval Augmented Generation—0
MindLab Neural Network Approach at BioASQ 6B—0
Mind's Eye: A Recurrent Visual Representation for Image Caption Generation—0
Mind the Gap: A Generalized Approach for Cross-Modal Embedding Alignment—0
Mind the Gap: Cross-Lingual Information Retrieval with Hierarchical Knowledge Enhancement—0
Minimizing Factual Inconsistency and Hallucination in Large Language Models—0
Minimizing the Number of Matching Queries for Object Retrieval—0
Mining Evidences for Concept Stock Recommendation—0
Mining Internet-Scale Software Repositories—0
Mining Root Cause Knowledge from Cloud Service Incident Investigations for AIOps—0
Mining the Web for Synonyms: PMI-IR versus LSA on TOEFL—0
MinMax Radon Barcodes for Medical Image Retrieval—0
MIRACL-VISION: A Large, multilingual, visual document retrieval benchmark—0
MIRAGE: Multimodal Identification and Recognition of Annotations in Indian General Prescriptions—0
MIRA: Leveraging Multi-Intention Co-click Information in Web-scale Document Retrieval using Deep Neural Networks—0
Mirror Matching: Document Matching Approach in Seed-driven Document Ranking for Medical Systematic Reviews—0
Mirror modular cloning and fast quantum associative retrieval—0
Misalign, Contrast then Distill: Rethinking Misalignments in Language-Image Pre-training—0
Misalign, Contrast then Distill: Rethinking Misalignments in Language-Image Pretraining—0
Misspecified Nonconvex Statistical Optimization for Phase Retrieval—0
Mitigating Data Shift of Biomedical Research Articles for Information Retrieval and Semantic Indexing—0
Mitigating Hallucinations in Large Language Models via Self-Refinement-Enhanced Knowledge 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