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DeepTumorVQA: A Hierarchical 3D CT Benchmark for Stage-Wise Evaluation of Medical VLMs and Tool-Augmented Agents
May 10, 2026Yixiong Chen, Wenjie Xiao, Pedro R. A. S. Bassi +7Medical Vision-Language Models Textvqa
Causal Parametric Drift Simulation: A Digital Twin Framework for Classifier Robustness Evaluation
May 10, 2026Julien Lafrance, Richard Khoury, Véronique TremblayStructural Causal Model Fault Injection Experiments
XTinyU-Net: Training-Free U-Net Scaling via Initialization-Time Sensitivity
May 10, 2026Alvin Kimbowa, Moein Heidari, David Liu +1U-Net Medical Image Segmentation
Adaptive DNN Partitioning and Offloading in Heterogeneous Edge-Cloud Continuum
May 10, 2026Akuen Akoi Deng, Eimantas Butkus, Alfreds Lapkovskis +1Edge Computing Mobilenetv2
Biosignal Fingerprinting: A Cross-Modal PPG-ECG Foundation Model
May 10, 2026Zhangdaihong Liu, Chang Liu, Fenglin Liu +4Multimodal Physiological Signals Fingerprint
End-to-End Keyword Spotting on FPGA Using Graph Neural Networks with a Neuromorphic Auditory Sensor
May 10, 2026Wiktor Matykiewicz, Piotr Wzorek, Kamil Jeziorek +4Neuromorphic Hardware Field-Programmable Gate Arrays
MemPrivacy: Privacy-Preserving Personalized Memory Management for Edge-Cloud Agents
May 10, 2026Yining Chen, Jihao Zhao, Bo Tang +5Edge Computing
LASSA Architecture-Based Autonomous Fault-Tolerant Control of Unmanned Underwater Vehicles
May 10, 2026Hong Chen, Zixiang Tang, Yuanbao Chen +1Autonomous Underwater Vehicles Iterative Reinforcement Learning
A Comparative Study of Federated Learning Aggregation Strategies under Homogeneous and Heterogeneous Data Distributions
May 10, 2026Antonios Makris, Christos Dousis, Emmanouil Kritharakis +2Federated Learning Heterogeneity
Through the Lens of Character: Resolving Modality-Role Interference in Multimodal Role-Playing Agent
May 10, 2026Yihong Tang, Kehai Chen, Xuefeng Bai +1Multimodal Agents Characterization
Beyond Isolation: A Unified Benchmark for General-Purpose Navigation
May 10, 2026Samson Sun, Tianyi Yang, Tengyue Wang +6Embodied Navigation Embodied Agents
Strategic commitments shape collective cybersecurity under AI inequality
May 10, 2026Adeela Bashir, Zia Ush Shamszaman, Zhao Song +2Cybersecurity Private Pate-Style Defense
From Detection to Recovery: Operational Analysis on LLM Pre-training with 504 GPUs
May 10, 2026Daemyung Kang, Eunjin Hwang, Hanjeong Lee +11Nvidia Nemotron Workload
Multi-scale Predictive Representations for Goal-conditioned Reinforcement Learning
May 10, 2026Valliappan Chidambaram Adaikkappan, David Meger, Sai Rajeswar +1Goal-Conditioned Reinforcement Learning Representation Learning
A Cross-Layered Multi-Drone Coordination for Medical Supply Delivery during Disaster Response Management
May 10, 2026Aneesh Calyam, Subrahmanya Chandra Bhamidipati, Zack Murry +1Multi-Drone Coordination Coordination
Reinforcement Learning Measurement Model
May 10, 2026Wenqian Xu, Feng JiPsychometrics
LLM Agents Already Know When to Call Tools -- Even Without Reasoning
May 10, 2026Chung-En Sun, Linbo Liu, Ge Yan +2Multi-Turn Tool-Use Agent Tool
Sub-JEPA: Subspace Gaussian Regularization for Stable End-to-End World Models
May 10, 2026Kai Zhao, Dongliang Nie, Yuchen Lin +4Joint-Embedding Predictive Architectures Latent World Models
Privacy-Preserving Distributed Learning in IoT Systems: A Unified Threat Model and Evaluation Framework
May 10, 2026John Cartmell, Alexander WilliamsInternet Of Thing Privacy-Preserving Framework
Learning the Preferences of a Learning Agent
May 9, 2026Karim Abdel Sadek, Mark Bedaywi, Rhys Gould +1Preference Learning Entropy Regularized Reinforcement Learning
Agentic MIP Research: Accelerated Constraint Handler Generation
May 9, 2026Liding Xu, Yugeng Zhou, Sebastian PokuttaConstraint Satisfaction Mixed-Integer Programming
Internal vs. External: Comparing Deliberation and Evolution for Multi-Agent Constitutional Design
May 9, 2026Hershraj Niranjani, Ujwal Kumar, Phan Xuan TanDeliberation Multi-Agent Systems
HyDRA Scorpion: A Cost-effective and Modular ROV for Real-Time Underwater Inspection, Intervention, and Object Detection
May 9, 2026Anika Tabassum Orchi, Md Farhan Zaman, Md Darain Khan +16Underwater Robots Autonomous Surface Vehicles
LCGNav: Local Candidate-Aware Geometric Enhancement for General Topological Planning in Vision-Language Navigation
May 9, 2026Jiankun Peng, Jianyuan Guo, Yiguang Yang +3Vision-Language Navigation
Large Language Models for Sequential Decision-Making: Improving In-Context Learning via Supervised Fine-Tuning
May 9, 2026Minmin Zhang, Sina Aghaei, Soroush SaghafianIn-Context Learning Large Language Model Fine-Tuning
Trustworthy AI: Ensuring Reliability and Accountability from Models to Agents
May 9, 2026Carol Xuan LongTrustworthy Artificial Intelligence Content Provenance
OPT-BENCH: Evaluating the Iterative Self-Optimization of LLM Agents in Large-Scale Search Spaces
May 9, 2026Xiaozhe Li, Jixuan Chen, Xinyu Fang +4Large Language Model Agents Recursive Self-Improvement
Skill Drift Is Contract Violation: Proactive Maintenance for LLM Agent Skill Libraries
May 9, 2026Linfeng Fan, Yuan Tian, Ziwei Li +1Kernel Contracts Violation
Rennala MVR: Improved Time Complexity for Parallel Stochastic Optimization via Momentum-Based Variance Reduction
May 9, 2026Zhirayr Tovmasyan, Artavazd Maranjyan, Peter RichtárikVariance Reduction Stochastic Gradient Descent
Cross-Sample Relational Fusion: Unifying Domain Generalization and Class-Incremental Learning
May 9, 2026Zhen-Hao Xie, Yan Wang, Hao Sun +3Domain Incremental Learning Cross-Task Knowledge Transfer

May 10, 2026 · cs.CVJ/K move · Enter open · S save

DeepTumorVQA: A Hierarchical 3D CT Benchmark for Stage-Wise Evaluation of Medical VLMs and Tool-Augmented Agents

Yixiong Chen, Wenjie Xiao, Pedro R. A. S. Bassi, Boyan Wang+6

Johns Hopkins University · University of Bologna · Center for Biomolecular Nanotechnologies, Istituto Italiano di Tecnologia · The First Affiliated Hospital, Sun Yat-Sen University · Tongji University

Medical vision-language models (VLMs) and AI agents have made significant progress in learning to analyze and reason about clinical images. However, existing medical visual question answering (VQA) benchmarks collapse model capabilities into a single accuracy score, obscuring where and why models fail. We propose DeepTumorVQA, a hierarchical benchmark that follows the multi-stage evidence chain in tumor diagnosis and decomposes 3D CT reasoning into four stages: recognition, measurement, visual reasoning, and medical reasoning. Higher-level questions remain independently scorable, while their ground-truth evidence chains are defined over lower-level primitives. The benchmark contains 476K questions across 42 clinical subtypes on 9,262 3D CT volumes. In addition to a direct reasoning mode for VLMs, DeepTumorVQA provides tool-interaction environments for agent evaluation, where a model can call external tools, including segmentation models, measurement programs, and medical knowledge modules, before answering the question. Evaluating over 30 model configurations, we find that reliable quantitative measurement is the primary bottleneck, making later-stage visual and medical reasoning harder for VLMs, while tool augmentation substantially mitigates this issue. When tools are available, leveraging medical knowledge and tools to reason about medical images becomes a new challenge. We further show that ground-truth step-by-step tool-use traces from DeepTumorVQA can supervise agents and reduce tool-use and reasoning failures. This stage-wise progression from recognition to measurement to visual and medical reasoning provides a concrete roadmap for future medical VLM and AI agent studies. All data and code are released at https://github.com/Schuture/DeepTumorVQA.

Medical Vision-Language Models Textvqa Diagnostic Benchmark

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