Retrieval-Augmented Classification

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Revitalizing Medical Time Series with Vision-Informed Retrieval: A Vision-Language Perspective
Sep 28, 2026Guoqi Yu, Juncheng Wang, Shujun WangMultivariate Time Series Classification Time Series Classification
Department of Biomedical Engineering and Sports Technology The Hong Kong Polytechnic University
From Confusion to Clarity: Confusion-Aware Retrieval and Knowledge Injection for Text Classification
Sep 1, 2026Manish Gupta, Chaitanya Giri, Jayasimha TalurZero-Shot Text Classification Retrieval-Augmented Classification
Amazon
Retrieval-Augmented Vision Foundation Models for Robust Leukemia Cell Classification across Multiple Microscopy Datasets
Aug 11, 2026Carlos Zamora, Hiram Zuniga, Ulises Orozco-Rosas +1Retrieval-Augmented Classification Vision Foundation Model Adaptation
CETYS Universidad, Ave. CETYS Universidad No. 4, Fracc. El Lago, C.P. 22210, Tijuana, Baja California, Mexico
Defending Retrieval-Augmented Intrusion Detection Against Knowledge Poisoning and Prompt Injection
Aug 8, 2026Kaysarul Anas Apurba, Md. Hasibul Hasan, Mahedee Zaman Moon +2Retrieval-Augmented Classification RAG Poisoning Attacks
Laurentian University Ontario, Canada · Centennial College Ontario, Canada · The University of Osaka Osaka, Japan
PaperRouter-Agent: A Content-Grounded LLM Agent for Personalized Hierarchical Paper Routing
Jul 13, 2026Keshen Zhou, Lintao Wang, Suqin Yuan +3LLM Personalization Retrieval-Augmented Classification
University of Sydney, Sydney, NSW 2006, Australia
Constraint-Aware Hierarchical Search for Regulation-Driven Fine-Grained Classification
Jul 12, 2026Siyu Wang, Wei Tan, Lulu ChenHierarchical Classification Retrieval-Augmented Classification
aGusu Laboratory of Materials, Suzhou, China · cSuzhou Digital China Wuxin Intelligent Technology Co., Ltd., Suzhou, China
When Retrieval Metrics Mislead: Measuring Policy Signal in Long-Horizon Tool-Use Agents
Jun 22, 2026Tianyu Ding, Juan Pablo De la Cruz WeinsteinTool-Use Evaluation Retrieval-Augmented Classification
Amazon Web Services
Cross-lingual Retrieval-Augmented Classification for Dysarthria Severity Assessment
Jun 22, 2026Taeyoung Jeong, Insung Lee, Du-Seong Chang +1Retrieval-Augmented Classification Speech Quality Assessment
Department of Artificial Intelligence, Sogang University, South Korea
Retrieval-Based Multi-Label Legal Annotation: Extensible, Data-Efficient and Hallucination-Free
May 16, 2026Li Zhang, Jaromir Savelka, Kevin AshleyLegal NLP Multi-Label Classification
University of Pittsburgh, Pittsburgh, PA, USA · Carnegie Mellon University, Pittsburgh, PA, USA
RAPT: Retrieval-Augmented Post-hoc Thresholding for Multi-Label Classification
May 15, 2026Lasal Jayawardena, Nirmalie Wiratunga, Ikechukwu Nkisi-Orji +1Document Understanding Multi-Label Classification
Robert Gordon University, Aberdeen, United Kingdom · William Nicol (Aberdeen) Limited, Aberdeen, United Kingdom
DeepTaxon: An Interpretable Retrieval-Augmented Multimodal Framework for Unified Species Identification and Discovery
Apr 27, 2026Jiawei Wang, Ming Lei, Yaning Yang +8Retrieval-Augmented Classification AI-Assisted Scientific Research
National University of Singapore · Hunan University · Xiangtan University +4
Knowledge-driven Augmentation and Retrieval for Integrative Temporal Adaptation
Apr 23, 2026Weisi Liu, Guangzeng Han, Xiaolei HuangDomain Adaptation Retrieval-Augmented Classification
University of Memphis
T-DuMpRa: Teacher-guided Dual-path Multi-prototype Retrieval Augmented framework for fine-grained medical image classification
Apr 19, 2026Zixuan Tang, Shen ZhaoPrototype-Based Classification Retrieval-Augmented Classification
School of Intelligent Systems Engineering, Sun Yat-sen University, Shenzhen, China
Retrieve, Then Classify: Corpus-Grounded Automation of Clinical Value Set Authoring
Apr 16, 2026Sumit Mukherjee, Juan Shu, Nairwita Mazumder +4Healthcare Retrieval-Augmented Classification
Oracle Health Data Intelligence

Sep 28, 2026, cs.CVJ/K move · Enter open · S save

Revitalizing Medical Time Series with Vision-Informed Retrieval: A Vision-Language Perspective

Guoqi Yu, Juncheng Wang, Shujun Wang

Department of Biomedical Engineering and Sports Technology The Hong Kong Polytechnic University

Multivariate Time Series Classification Time Series Classification Retrieval-Augmented Classification Cross-Modal Retrieval

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Medical time series (MedTS) underpin many clinical classification tasks, yet existing methods usually represent them only as numerical sequences and underuse the morphology that is explicit in waveform inspection. To bridge this gap, we introduce Vision-Informed Retrieval (ViRe), which uses a frozen VLM-derived waveform representation as a morphology-aware Query to guide retrieval from raw numerical MedTS features. Specifically, a Vision Query is extracted using pre-trained vision-language models (VLMs) to obtain morphology-aware priors from waveform plots. A tailored attention-based cross-modal retrieval mechanism then uses the Vision Query to select morphology-relevant temporal and channel evidence from the numerical representation. ViRe demonstrates strong effectiveness against ten established baselines, yielding an overall 6.42% relative improvement over the previous state of the art across six public benchmarks. Code, training scripts, and reproducibility materials are publicly available in the GitHub Repository: https://github.com/Levi-Ackman/ViRe.

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