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🔍 moritz hardt 📂 AI & Data Science
Showing 13033 results for "moritz hardt" in AI & Data Science
AI & Data Science Preprint PDF DOI

UHR-Net: An Uncertainty-Aware Hypergraph Refinement Network for Medical Image Segmentation

Shuokun Cheng, Jinghao Shi, Kun Sun · 2026

Accurate lesion segmentation is crucial for clinical diagnosis and treatment planning. However, lesions often resemble surrounding tissues and exhibit ill-defined boundaries, leading to unstable predi…

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AI & Data Science Preprint PDF DOI

Training-Free Tunnel Defect Inspection and Engineering Interpretation via Visual Recalibration and Entity Reconstruction

Shipeng Liu, Liang Zhao, Dengfeng Chen, Zhanping Song · 2026

Tunnel inspection requires outputs that can support defect localization, measurement, severity grading, and engineering documentation. Existing training-free foundation-model pipelines usually stop at…

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AI & Data Science Preprint PDF DOI

Building Persona-Based Agents On Demand: Tailoring Multi-Agent Workflows to User Needs

Giuseppe Arbore, Andrea Sillano, Luigi De Russis · 2026

Recent advances in agentic AI are shifting automation from discrete tools to proactive multi-agent systems that coordinate multi-specialized capabilities behind unified interfaces. However, today's ag…

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AI & Data Science Preprint PDF DOI

MCPHunt: An Evaluation Framework for Cross-Boundary Data Propagation in Multi-Server MCP Agents

Haonan Li, Tianjun Sun, Yongqing Wang, Qisheng Zhang · 2026

Multi-server MCP agents create an information-flow control problem: faithful tool composition can turn individually benign read/write permissions into cross-boundary credential propagation -- a struct…

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AI & Data Science Preprint PDF DOI

On the Expressive Power of GNNs to Solve Linear SDPs

Chendi Qian, Christopher Morris · 2026

Semidefinite programs (SDPs) are a powerful framework for convex optimization and for constructing strong relaxations of hard combinatorial problems. However, solving large SDPs can be computationally…

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AI & Data Science Preprint PDF DOI

Learning to Reason: Targeted Knowledge Discovery and Fuzzy Logic Update for Robust Image Recognition

Gurucharan Srinivas, Joshua Niemeijer, Frank Koster · 2026

Integrating domain knowledge into deep neural networks is a promising way to improve generalization. Existing methods either encode prior knowledge in the loss function or apply post-processing module…

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AI & Data Science Preprint PDF DOI

Mind the Gap: Structure-Aware Consistency in Preference Learning

Mehryar Mohri, Yutao Zhong · 2026

Preference learning has become the foundation of aligning Large Language Models (LLMs) with human intent. Popular methods, such as Direct Preference Optimization (DPO), minimize surrogate losses as pr…

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AI & Data Science Preprint PDF DOI

SpaAct: Spatially-Activated Transition Learning with Curriculum Adaptation for Vision-Language Navigation

Pengna Li, Kangyi Wu, Shaoqing Xu, Fang Li, Hanbing Li, Lin Zhao, Kailin Lyu, Long Chen, Zhi-Xin Yang, Nanning Zheng · 2026

Vision-and-Language Navigation (VLN) aims to enable an embodied agent to follow natural-language instructions and navigate to a target location in unseen 3D environments. We argue that adapting VLMs t…

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AI & Data Science Preprint PDF DOI

Robust Lightweight Crack Classification for Real-Time UAV Bridge Inspection

Wei Li, Haisheng Li, Weijie Li, Jiandong Wang, Kaichen Ma, Luming Yang · 2026

With the widespread application of Unmanned Aerial Vehicles (UAVs) in bridge structural health monitoring, deep learning-based automatic crack detection has become a major research focus. However, pra…

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AI & Data Science Preprint PDF DOI

Detecting is Easy, Adapting is Hard: Local Expert Growth for Visual Model-Based Reinforcement Learning under Distribution Shift

Haiyang Zhao · 2026

Visual model-based reinforcement learning (MBRL) agents can perform well on the training distribution, but often break down once the test environment shifts. In visual MBRL, recognizing that a shift h…

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AI & Data Science Preprint PDF DOI

Student Classroom Behavior Recognition Based on Improved YOLOv8s

Xiang Gao, Shuai Hang · 2026

In classroom teaching, student behavior can reflect their learning state and classroom participation, which is of great significance for teaching quality analysis. To address the problems of dense stu…

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AI & Data Science Preprint PDF DOI

Semantic Structure of Feature Space in Large Language Models

Austin C. Kozlowski, Andrei Boutyline · 2026

We show that the geometric relations between semantic features in large language models' hidden states closely mirror human psychological associations. We construct feature vectors corresponding to 36…

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AI & Data Science Preprint PDF DOI

When to Vote, When to Rewrite: Disagreement-Guided Strategy Routing for Test-Time Scaling

Zhimin Lin, Yixin Ji, Jinpeng Li, Yu Luo, Dong Li, Junhua Fang, Juntao Li, Min Zhang · 2026

Large Reasoning Models (LRMs) achieve strong performance on mathematical reasoning tasks but remain unreliable on challenging instances. Existing test-time scaling methods, such as repeated sampling, …

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AI & Data Science Preprint PDF DOI

Benchmarking Complex Multimodal Document Processing Pipelines: A Unified Evaluation Framework for Enterprise AI

Saurabh K. Singh, Sachin Raj · 2026

Most enterprise document AI today is a pipeline. Parse, index, retrieve, generate. Each of those stages has been studied to death on its own -- what's still hard is evaluating the system as a whole. …

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AI & Data Science Preprint PDF DOI

AlphaJet: Automated Conceptual Aircraft Synthesis via Disentangled Generative Priors and Topology-Preserving Evolutionary Search

Boris Kriuk · 2026

Conceptual aircraft design is traditionally an expert-mediated iterative process in which a human designer proposes a configuration, runs low-order physics, inspects the result, and re-proposes. We pr…

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AI & Data Science Preprint PDF DOI

The Unseen Adversaries: Robust and Generalized Defense Against Adversarial Patches

Vishesh Kumar, Akshay Agarwal · 2026

The vulnerabilities of deep neural networks against singularities have raised serious concerns regarding their deployment in the physical world. One of the most prominent and impactful physical-world …

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AI & Data Science Preprint PDF DOI

When Continual Learning Moves to Memory: A Study of Experience Reuse in LLM Agents

Qisheng Hu, Quanyu Long, Wenya Wang · 2026

Memory-augmented LLM agents offer an appealing shortcut to continual learning: rather than updating model parameters, they accumulate experience in external memory, seemingly sidestepping the stabilit…

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AI & Data Science Preprint PDF DOI

EnerGS: Energy-Based Gaussian Splatting with Partial Geometric Priors

Rui Song, Tianhui Cai, Markus Gross, Yun Zhang, Walter Zimmer, Zhiyu Huang, Olaf Wysocki, Jiaqi Ma · 2026

3D Gaussian Splatting (3DGS) has been widely adopted for scene reconstruction, where training inherently constitutes a highly coupled and non-convex optimization problem. Recent works commonly incorpo…

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AI & Data Science Preprint PDF DOI

Persuadability and LLMs as Legal Decision Tools

Oisin Suttle, David Lillis · 2026

As Large Language Models (LLMs) are proposed as legal decision assistants, and even first-instance decision-makers, across a range of judicial and administrative contexts, it becomes essential to expl…

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AI & Data Science Preprint PDF DOI

Lifting Embodied World Models for Planning and Control

Alex N. Wang, Trevor Darrell, Pavel Izmailov, Yutong Bai, Amir Bar · 2026

World models of embodied agents predict future observations conditioned on an action taken by the agent. For complex embodiments, action spaces are high-dimensional and difficult to specify: for examp…

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