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 7601–7650 of 14297 papers

TitleStatusHype
A Retrieval-Based Approach to Medical Procedure Matching in Romanian—0
Learning Universal User Representations Leveraging Cross-domain User Intent at Snapchat—0
Differentiable Microscopy Designs an All Optical Phase Retrieval Microscope—0
Learning User Representations for Open Vocabulary Image Hashtag Prediction—0
Agnostic Estimation for Misspecified Phase Retrieval Models—0
Long Concept Query on Conceptual Taxonomies—0
Evaluation of Attribution Bias in Retrieval-Augmented Large Language Models—0
Learning Visual Hierarchies with Hyperbolic Embeddings—0
Differentiable Retrieval Augmentation via Generative Language Modeling for E-commerce Query Intent Classification—0
Learning Visually Grounded Sentence Representations—0
Learning Visual N-Grams from Web Data—0
Learning Visual-Semantic Embeddings for Reporting Abnormal Findings on Chest X-rays—0
Differentiable Top-k Operator with Optimal Transport—0
Learning When to Retrieve, What to Rewrite, and How to Respond in Conversational QA—0
Logic Haystacks: Probing LLMs Long-Context Logical Reasoning (Without Easily Identifiable Unrelated Padding)—0
Learning with Batch-wise Optimal Transport Loss for 3D Shape Recognition—0
Claim Verification in the Age of Large Language Models: A Survey—0
Learning with Label Noise for Image Retrieval by Selecting Interactions—0
Learning with Multi-modal Gradient Attention for Explainable Composed Image Retrieval—0
Learning with Noisy Correspondence—0
Evaluation Evaluation a Monte Carlo study—0
Learning with Noisy Triplet Correspondence for Composed Image Retrieval—0
PrivateMail: Supervised Manifold Learning of Deep Features With Differential Privacy for Image Retrieval—0
Learning without the Phase: Regularized PhaseMax Achieves Optimal Sample Complexity—0
A Conceptual Framework for Implicit Evaluation of Conversational Search Interfaces—0
LearnLens: LLM-Enabled Personalised, Curriculum-Grounded Feedback with Educators in the Loop—0
Differential Privacy with Random Projections and Sign Random Projections—0
Learnt quasi-transitive similarity for retrieval from large collections of faces—0
Évaluation des capacités de réponse de larges modèles de langage (LLM) pour des questions d'historiens—0
Embedding-Informed Adaptive Retrieval-Augmented Generation of Large Language Models—0
Evaluation by Association: A Systematic Study of Quantitative Word Association Evaluation—0
CL2CM: Improving Cross-Lingual Cross-Modal Retrieval via Cross-Lingual Knowledge Transfer—0
Diffusion Art or Digital Forgery? Investigating Data Replication in Diffusion Models—0
LeCoPCR: Legal Concept-guided Prior Case Retrieval for European Court of Human Rights cases—0
Lecture Notes on Neural Information Retrieval—0
Lecture Presentations Multimodal Dataset: Towards Understanding Multimodality in Educational Videos—0
Evaluation-as-a-Service: Overview and Outlook—0
Evaluating Web-as-corpus Topical Document Retrieval with an Index of the OpenDirectory—0
A Retrieval-Augmented Knowledge Mining Method with Deep Thinking LLMs for Biomedical Research and Clinical Support—0
Legal document retrieval across languages: topic hierarchies based on synsets—0
Legal Document Retrieval using Document Vector Embeddings and Deep Learning—0
Legal Element-oriented Modeling with Multi-view Contrastive Learning for Legal Case Retrieval—0
Logical segmentation for article extraction in digitized old newspapers—0
LegalRAG: A Hybrid RAG System for Multilingual Legal Information Retrieval—0
LegalSearchLM: Rethinking Legal Case Retrieval as Legal Elements Generation—0
Diffusion Processes for Retrieval Revisited—0
LoGS: Visual Localization via Gaussian Splatting with Fewer Training Images—0
Evaluating Translation Quality and CLIR Performance of Query Sessions—0
Leipzig Corpus Miner - A Text Mining Infrastructure for Qualitative Data Analysis—0
Evaluating Transferability in Retrieval Tasks: An Approach Using MMD and Kernel Methods—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