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Showing 378930 results for "program evaluation"
Medicine & Health Preprint PDF DOI

MAAS-SFRThelper: An Integrated ESAPI Plugin for Structure Generation, Optimization, and Evaluation of Spatially Fractionated Radiation Therapy

Japan K. Patel, Todd A. Wareing, Tenzin Kunkyab, Caleb Raman, Ilias Sachpazidis, Peter Szentivanyi, Ryan Clark, Gregory Gill, Pierre Lansonneur, Arjun Karnwal, Michael Kudla, Sergejs Unterkirhers, Junqi Song, Jun Yang, Anthony Magliari, Matthew C. Schmidt ยท 2026

Spatially fractionated radiation therapy (SFRT) planning requires three coordinated tasks: generation of high-dose sphere structures, position-aware optimization, and peak-valley dose ratio evaluationโ€ฆ

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AI & Data Science Preprint PDF DOI

Understanding Adversarial Transferability in Vision-Language Models for Autonomous Driving: A Cross-Architecture Analysis

David Fernandez, Pedram MohajerAnsari, Amir Salarpour, Mert D. Pese ยท 2026

Vision-language models (VLMs) are increasingly used in autonomous driving because they combine visual perception with language-based reasoning, supporting more interpretable decision-making, yet theirโ€ฆ

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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 ยท 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 hโ€ฆ

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Mathematics Preprint PDF DOI

A Shifted Cohesive-Zone Method for Non-Interface-Fitted Meshes with Applications to Crystal Plasticity

Cheng-Hau Yang, Mark C. Messner, Tianchen Hu ยท 2026

The accurate simulation of interface-dominated solid mechanics problems on complex microstructures remains challenging, particularly when interface-fitted quadrilateral or hexahedral meshes are difficโ€ฆ

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AI & Data Science Preprint PDF DOI

Beyond the Mean: Within-Model Reliable Change Detection for LLM Evaluation

Jon-Paul Cacioli ยท 2026

We adapted the Reliable Change Index (RCI; Jacobson and Truax, 1991) from clinical psychology to item-level LLM version comparison on 2,000 MMLU-Pro items (K=10 samples at T=0.7). Two within-family paโ€ฆ

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Physics Preprint PDF DOI

Asymmetric freezing of a sliding droplet on an inclined surface

Sivanandan Kavuri, George Karapetsas, Chander Shekhar Sharma, Kirti Chandra Sahu ยท 2026

We investigate the asymmetric freezing of a liquid droplet sliding on an inclined cold surface using numerical simulations based on the lubrication approximation. The combined effects of gravity, capiโ€ฆ

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Mathematics Preprint PDF DOI

Continuous-time q-learning for mean-field control with common noise, part-II: q-learning algorithms

Zhenjie Ren, Xiaoli Wei, Xiang Yu, Xun Yu Zhou ยท 2026

This paper is a continuation work of Ren et al. (2026) aiming to further devise q-learning algorithms for mean-field control (MFC) with controlled common noise. Based on the relaxed control formulatioโ€ฆ

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AI & Data Science Preprint PDF DOI

Measurement Risk in Supervised Financial NLP: Rubric and Metric Sensitivity on JF-ICR

Sidi Chang, Peiying Zhu, Yuxiao Chen, Rongdong Chai ยท 2026

As LLMs become credible readers of earnings calls, investor-relations Q\&A, guidance, and disclosure language, supervised financial NLP benchmarks increasingly function as decision evidence for model โ€ฆ

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Physics Preprint PDF DOI

Phase-Transition Induced Domain Evolution and Magnetization Dynamics in FePt/FeRh Bilayers for Efficient Heat-Assisted Magnetic Recording

Saroj K. Mishra, Y. Sasaki, S. Isogami, I. Suzuki, Keerthana P, J. Mohanty, Y. K. Takahashi ยท 2026

Achieving ultrahigh recording densities with low power consumption is a central challenge for next generation heat assisted magnetic recording (HAMR), as conventional L10 FePt media require intense laโ€ฆ

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AI & Data Science Preprint PDF DOI

Stable but Wrong: An Inference Limit in Galactic Archaeology

Zhipeng Zhang ยท 2026

Statistical inference in observational science typically relies on a fundamental assumption: as sample size increases and uncertainties decrease, the inferred results should converge to the true physiโ€ฆ

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AI & Data Science Preprint PDF DOI

Judge, Then Drive: A Critic-Centric Vision Language Action Framework for Autonomous Driving

Lijin Yang, Jianing Huang, Zhongzhan Huang, Shu Liu, Hao Yang ยท 2026

Recent advances in vision language action (VLA) models have shown remarkable potential for autonomous driving by directly mapping multimodal inputs to control signals. However, previous VLA-based methโ€ฆ

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AI & Data Science Preprint PDF DOI

Safe Bilevel Delegation (SBD): A Formal Framework for Runtime Delegation Safety in Multi-Agent Systems

Yuan Sun ยท 2026

As large language model (LLM) agents are deployed in high-stakes environments, the question of how safely to delegate subtasks to specialized sub-agents becomes critical. Existing work addresses multiโ€ฆ

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Mathematics Preprint PDF DOI

Over-Approximating Minimizer Sets of Constrained Convex Programs with Parametric Uncertainty via Reachability Analysis

Brendan Gould, Chih-Yuan Chiu, Antoine P. Leeman, Kyriakos G. Vamvoudakis, Samuel Coogan, Glen Chou ยท 2026

We study the set of solutions to a parameterized, strongly convex optimization problem whose cost depends on uncertain, bounded parameters. We compute a certified outer approximation of the correspondโ€ฆ

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AI & Data Science Preprint PDF DOI

CoAX: Cognitive-Oriented Attribution eXplanation User Model of Human Understanding of AI Explanations

Louth Bin Rawshan, Zhuoyu Wang, Brian Y. Lim ยท 2026

Explainable AI (XAI) aims to improve user understanding and decisions when using AI models. However, despite innovations in XAI, recent user evaluations reveal that this goal remains elusive. Understaโ€ฆ

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Computer Science Preprint PDF DOI

Exploring the Adoption Intention in Using AI-Enabled Educational Tools Among Preservice Teachers in the Philippines: A Partial-Least Square Modeling

Vanessa B. Sibug, Emerson Q. Fernando, Almer B. Gamboa, Roque Francis B. Dianelo, Agnes R. Regala, Joseph Alexander Bansil, Jan Henry B. Sunga, Vernon Grace M. Maniago, John Paul P. Miranda ยท 2026

This study examines the factors influencing pre-service teachers' behavioral intention to use AI-enabled educational tools during their practicum, using the Unified Theory of Acceptance and Use of Tecโ€ฆ

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AI & Data Science Preprint PDF DOI

LLMs Capture Emotion Labels, Not Emotion Uncertainty: Distributional Analysis and Calibration of Human--LLM Judgment Gaps

Keito Inoshita, Xiaokang Zhou, Akira Kawai, Katsutoshi Yada ยท 2026

Human annotators frequently disagree on emotion labels, yet most evaluations of Large Language Model (LLM) emotion annotation collapse these judgments into a single gold standard, discarding the distrโ€ฆ

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AI & Data Science Preprint PDF DOI

JI-ADF: Joint-Individual Learning with Adaptive Decision Fusion for Multimodal Skin Lesion Classification

Phan Nguyen, Dat Cao, Quang Hien Kha, Hien Chu, Minh H. N. Le, Trang Quoc Thao Pham, Nguyen Quoc Khanh Le ยท 2026

Skin lesion classification is essential for early dermatological diagnosis, yet many existing computer-aided systems rely primarily on dermoscopic images and underutilize the multimodal evidence routiโ€ฆ

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AI & Data Science Preprint PDF DOI

Investigating More Explainable and Partition-Free Compositionality Estimation for LLMs: A Rule-Generation Perspective

Ziyao Xu, Cong Wang, Houfeng Wang ยท 2026

Compositional generalization tests are often used to estimate the compositionality of LLMs. However, such tests have the following limitations: (1) they only focus on the output results without considโ€ฆ

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Computer Science Preprint PDF DOI

One Size Fits All? An Empirical Comparison of ADR Templates regarding Comprehension, Usability, and Ease of Adoption

Fernando Nogueira, Nabson Silva, Tayana Conte ยท 2026

Context: Documenting Architectural Design Decisions (ADDs) is a critical factor in the software lifecycle, essential for efficient system maintenance, developer onboarding, and preventing knowledge vaโ€ฆ

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Physics Preprint PDF DOI

Active Galactic Nucleus Feedback in an Elliptical Galaxy. IV. The Importance of the Jet Wind Coupling

Minhang Guo, Feng Yuan, Suoqing Ji, Bocheng Zhu ยท 2026

This is the fourth paper of our series investigating the effects of active galactic nucleus (AGN) feedback in the evolution of an elliptical galaxy using the {\it MACER} framework. While previous workโ€ฆ

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