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Open-Linguistic Concept Unified Learning for Cross-Site Interpretable Dermatology Image Diagnosis
Aug 4, 2026Chengyu Wu, Junpeng Tan, Wanxiang Luo +3Skin Lesion Classification Medical Vision-Language Models
GradCuit: Credit-Assigned Gradient Flow Enables Robust and Interpretable Test-Time Latent Reasoning
Aug 3, 2026Zhaoxin Yu, Qi Shen, Hengli Li +4Efficient Latent Reasoning Credit Assignment
Interpretable Representation via LLM-Driven Generative Disentanglement for Local-Life Service Recommendation
Jul 30, 2026Long Zhang, Hao Jiang, Sheng Yu +3Recommendation Quantizer
From Conceptual Hydrologic Models to Conceptually Interpretable Neural Networks: A Snow-Water Mass-Conserving-Perceptron Framework for Discovering Catchment-Scale Precipitation-Storage-Runoff Representations
Jul 29, 2026Yuan-Heng Wang, Hoshin V. GuptaFundamental Hydrological Principles Multilayer Perceptrons
CADENCE: A Cardiac Atom Dictionary for Interpretable Neural Concept Extraction from ECG Foundation Models
Jul 28, 2026Yixuan Duan, Arjun Naik, Sadeer Al-Kindi +1Congenital Heart Disease Electronic Health Record Foundation Models
Efficient and Interpretable Body-Based Emotion Recognition with Lightweight Temporal Convolutional Networks
Jul 23, 2026Christian Arzate Cruz, Stefanos Gkikas, Houshyar AsadiTemporal Convolutional Networks Emotion Recognition
PhaseAware: Interpretable Human-in-the-Loop Rehabilitation Scoring with Boundary Monitoring
Jul 22, 2026Yankai Zheng, Yuhe Liu, Yuxin Ma +8Rehabilitation Multimodal Evaluation
DELUGE: Towards Continental-Scale Daily Pluvial Flood Damage Prediction via Interpretable Conditioning on Foundation Model Embeddings
Jul 17, 2026Yuya Kawakami, Daniel Cayan, Dongyu Liu +2Accurate Flood Prediction Sen1Floods11
Which Hyperparameters Matter? A Game-Theoretic Framework for Interpretable Hyperparameter Sensitivity Analysis
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VGIF-Score: Interpretable and Diagnostic Evaluation of Spatio-Temporal Instruction Following in Video Generation
Jul 15, 2026Songyu Xu, Xin Wang, Qiang Chen +6Instruction Temporal Dependence
Sparse Autoencoders for Interpretable Out-of-Distribution Detection
Jul 13, 2026Ayush Karmacharya, Luke Luschwitz, Lucia Romero +2Out-Of-Distribution Detection Out-Of-Distribution
KGCQual: An Interpretable Framework for Evaluating the Knowledge Graph Construction Quality from Text
Jul 11, 2026Nipun Misra, Vikranth Udandarao, Aanchal Gupta +3Knowledge Graphs Rdf
path_boost: A Python Package for Interpretable Graph-Level Prediction using Path-Based Gradient Boosting
Jul 8, 2026Claudio Meggio, Johan Pensar, Riccardo De BinGraph Representation Learning Graph Neural Networks
Weight-Space Physics: Interpretable Hypernetworks for Lattice Quantum Field Theories
Jul 8, 2026Tobias Göbel, Julian R. Ebelt, Zier Mensch +2Effective Field Theory Weight-Space
TORINO: Token Reduction via Interpretable Concept Overlap in Vision-Language Models
Jul 6, 2026Riccardo Renzulli, Gabriele Spadaro, Shruthi Gowda +2Large Vision Language Models
CALM: Interpretable Cross-Modal Alignment for Biomarker Discovery from Unpaired Data
Jul 2, 2026Jueqi Wang, Zachary Jacokes, John Darrell Van Horn +3Biomarker Cross-Modal Alignment
Beyond Heatmaps: Unsupervised Concept-Graph Reasoning for Interpretable Visual Explanation
Jul 1, 2026Md Mohasin Hossain, Anar Amirli, Robert Leist +2Heatmap Imagenet
Conversable Complexity: Agentic LLM Collectives as Interpretable Substrates
Jul 1, 2026Elias Najarro, Ane Espeseth, Eleni Nisioti +2Model Interpretability Emergence
Why Struggle with Continuous Latents? Interpretable Discrete Latent Reasoning via Rendered Compression
Jun 29, 2026Shuochen Chang, Qingyang Liu, Shaobo Wang +8Efficient Latent Reasoning Intermediate Latent States
How LLMs See Creativity: Zero-Shot Scoring of Visual Creativity with Interpretable Reasoning
Jun 29, 2026William Orwig, Roger E. BeatyCreativity Zero-Shot Benchmark
Interpretable Inverse Design of Metal-Organic Frameworks with Large Language Model Agents
Jun 28, 2026Kyungmin Nam, Seunghee Han, Jihan KimGenerative Inverse Design Large-Scale Electronic Structure Calculations
Interpretable machine learning predicts Parkinson's disease severity using motion-corrected QSM MRI and multiband multiecho fMRI features
Jun 26, 2026Aixa X. AndradeParkinson Biomarker
Cognitive Episodes in LLM Reasoning Traces Enable Interpretable Human Item Difficulty Prediction
Jun 26, 2026Chenguang Wang, Ming Li, Xinyue Zeng +4Large Language Model Reasoning Large Reasoning Models
Beyond the Hard Budget: Sparsity Regularizers for More Interpretable Top-k Sparse Autoencoders
Jun 25, 2026Nathanaël Jacquier, Maria Vakalopoulou, Mahdi S. HosseiniImproving Sparse Autoencoders Sparsity
Ask, Don't Judge: Binary Questions for Interpretable LLM Evaluation and Self-Improvement
Jun 25, 2026Sangwoo Cho, Kushal Chawla, Pengshan Cai +4Large Language Model Evaluation Evaluation Harnesses
A Dual Edge Spatial Jacobian Image Graph for Interpretable Diabetic Retinopathy Grading
Jun 23, 2026Inam Ullah, Imran Razzak, Shoaib JameelInterpretable Diabetic Retinopathy Grading Fundus Images
AgentLens: Interpretable Safety Steering via Mechanistic Subspaces for Multi-Turn Coding Agent
Jun 21, 2026Weidi Luo, Qiming Zhang, Yihao Quan +5Large Language Model Safety Safety
AgroSense 2.0: Cross-Modal Transformer Fusion with Geospatial Raster Integration and Interpretable Multi-Task Learning for Precision Crop Recommendation
Jun 20, 2026Vishal Pandey, Rishav Tewari, Ruzina Haque LaskarSoil Moisture Estimation Normalized Difference Vegetation Index
Interpretable Sperm Morphology Classification via Attention-Guided Deep Learning
Jun 18, 2026Zahra Asghari Varzaneh, Reza Khoshkangini, Thomas Ebner +1Reproduction Attention-Guided Transunet
CUPID: Reconstructing UV Texture Maps for Interpretable Person-of-Interest Deepfake Detection
Jun 18, 2026Giovanni Affatato, Sara Mandelli, Edoardo Daniele Cannas +2Detection Framework Map

Aug 4, 2026 · cs.CVJ/K move · Enter open · S save

Open-Linguistic Concept Unified Learning for Cross-Site Interpretable Dermatology Image Diagnosis

Chengyu Wu, Junpeng Tan, Wanxiang Luo, Yaqi Wang+2

Zhejiang University Hangzhou, China · Westlake University Hangzhou, China · Harbin Institute of Technology Shenzhen, China · Hangzhou Dianzi University Hangzhou, China

Human-interpretable computer-aided diagnosis is crucial for clinical decision making. Concept-based models excel by providing transparent reasoning and enabling post-hoc, clinician-in-the-loop interventions. However, their rigid dataset-specific adaptation inherently restricts cross-site generalization. Applying them across diverse modalities, such as dermoscopic and clinical photographs, is challenging due to heterogeneous concept taxonomies varying in availability, granularity, and semantics across cohorts. Consequently, adapting Foundation Vision-Language Models (FVLMs) demands costly label engineering and repeated post-training. Existing intervention mechanisms remain rigidly tied to predefined concepts, lacking adaptability and hindering scalable dermatology CAD deployment. To address these bottlenecks, we propose UniCon, an open-linguistic unified concept learning framework for multimodal interpretable vision-language diagnosis. UniCon resolves these challenges through three contributions: (1) A shared semantic representation space via a unified concept prototype codebook, seamlessly coordinating heterogeneous concept systems across modalities without dataset-specific retraining. (2) Open-linguistic based multi-faceted semantic specifications to overcome sparse textual label limitations, improving boundary sensitivity in uncertain clinical contexts. (3) A robust, cross-site adjustable intervention interface powered by reliability-gated bottleneck aggregation, enabling consistent reasoning and transferable clinician corrections. Extensive experiments demonstrate that beyond securing top-tier diagnostic accuracy, UniCon successfully bridges disparate clinical taxonomies, unlocking unprecedented cross-site intervention capabilities. Code is available at https://github.com/wuchengyu123/UniCon.

Skin Lesion Classification Medical Vision-Language Models Multimodal Clinical Data Cross-Modality Linguistics

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