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Showing 378930 results for "program evaluation"
Physics Preprint PDF DOI

Dust cloud lifetimes of Scallop-shell stars

Simon Daley-Yates, Moira M. Jardine, Luke Bouma ยท 2026

We investigate the survival of dust trapped in magnetically confined cool gas clouds (or {\it prominences}) around rapidly rotating M-dwarfs exhibiting the ``scallop-shell'' light-curve morphology. Usโ€ฆ

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Biology & Life Sciences Preprint PDF DOI

Modeling the impact of host diversity on the evolution of vector feeding preferences and implications for disease control

Shravani Shetgaonkar, Anupama Sharma ยท 2026

Vector-borne diseases often infect multiple host species, increasing the likelihood of disease persistence due to the presence of multiple reservoirs. Vector biting patterns and feeding preferences caโ€ฆ

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Computer Science Preprint PDF DOI

On the Effectiveness of Modular Testing with EvoSuite

Elizabeth Dinella ยท 2026

This paper explores the effectiveness of modular randomized testing for object oriented programs in Java. Modular testing involves testing individual components of a program in isolation. Often times,โ€ฆ

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Mathematics Preprint PDF DOI

An $O_K$-basis for the image of a Lubin-Tate logarithm on $\pi$-regular extensions of $K$

Georgia Harbor-Collins ยท 2026

Let $K$ be a finite $p$-adic field with uniformiser $\pi$. In this paper we study the image of the logarithm attached to a Lubin-Tate series $[\pi](X)$ on the maximal ideal of so-called $\pi$-regular โ€ฆ

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Physics Preprint PDF DOI

Geodesically Complete Curvature-Bounce Inflation

Damien A. Easson ยท 2026

The early universe need not be described by an incomplete inflationary phase connected to a separate, more exotic prehistory. Recent results show that, within non-static FRW cosmology, only positive sโ€ฆ

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Physics Preprint PDF DOI

Galaxy Zoo Bar Lengths: A Catalogue of Measurements from Hubble Space Telescope Images and the Evolution of Galactic Bar Structure at z < 1

Tenley Hutchinson-Smith, Brooke D. Simmons, Karen L. Masters, Alison Coil, Izzy Garland, Tobias Geron, Sandor Kruk, Chris Lintott, Rebecca Smethurst, Amauri Tapia, Kyle Willett, Elisabeth Baeten, Sylvia Beer, Michael L. Peck, Julianne Wilcox ยท 2026

Understanding the role of galactic scale bars in disk galaxy evolution requires detailed measurements of bar properties across galaxies hosting bars at many redshifts. We present measurements of bar lโ€ฆ

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AI & Data Science Preprint PDF DOI

Useless but Safe? Benchmarking Utility Recovery with User Intent Clarification in Multi-Turn Conversations

Mingqian Zheng, Malia Morgan, Liwei Jiang, Carolyn Rose, Maarten Sap ยท 2026

Current LLM safety alignment techniques improve model robustness against adversarial attacks, but overlook whether and how LLMs can recover helpfulness when benign users clarify their intent. We introโ€ฆ

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Physics Preprint PDF DOI

Characterizing six seismic solar analogs observed by Kepler, K2, and HERMES

R. A. Garcia, S. Mathur, G. T. Hookway, D. Godoy-Rivera, T. Masseron, J. Betrisey, G. Buldgen, C. Lindsay, T. S. Metcalfe, O. J. Scutt, A. Stokholm, P. G. Beck, O. Benomar, G. R. Davies, A. Jimenez, J. Merc, M. B. Nielsen, E. Panetier, F. Perez Hernandez, L. Borg, S. N. Breton, L. Debacker, A. Escorza, D. H. Grossmann, A. Hamy, B. Liagre, M. N. Lund, S. Mathis, D.B. Palakkatharappil, A. R. G. Santos, V. Delsanti, L. Gonzalez-Cuesta, V. Fox, N. Proust ยท 2026

Solar analogs, stars that closely match the fundamental properties of the Sun, provide key benchmarks for testing stellar structure and evolution across different ages and activity levels. Their detaiโ€ฆ

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AI & Data Science Preprint PDF DOI

AutoSP: Unlocking Long-Context LLM Training Via Compiler-Based Sequence Parallelism

Ahan Gupta, Zhihao Wang, Neel Dani, Masahiro Tanaka, Olatunji Ruwase, Minjia Zhang ยท 2026

Large-language-models (LLMs) demonstrate enormous utility in long-context tasks which require processing prompts that consist of tens to hundreds of thousands of tokens. However, existing LLM trainingโ€ฆ

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Physics Preprint PDF DOI

Compressible Navier--Stokes Flow in Schr\"odinger-Type Variables

James R. Beattie, Max Sokolova, Khush Negandhi, Bart Ripperda ยท 2026

Fluid equations are nonlinear, dissipative, and non-Hamiltonian, which makes their relation to Schr\"odinger evolution and quantum algorithms nontrivial. We derive an exact Eulerian Cole-Hopf-type refโ€ฆ

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Computer Science Preprint PDF DOI

Efficient Training on Multiple Consumer GPUs with RoundPipe

Yibin Luo, Shiwei Gao, Huichuan Zheng, Youyou Lu, Jiwu Shu ยท 2026

Fine-tuning Large Language Models (LLMs) on consumer-grade GPUs is highly cost-effective, yet constrained by limited GPU memory and slow PCIe interconnects. Pipeline parallelism combined with CPU offlโ€ฆ

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AI & Data Science Preprint PDF DOI

When Your LLM Reaches End-of-Life: A Framework for Confident Model Migration in Production Systems

Emma Casey, David Roberts, David Sim, Ian Beaver ยท 2026

We present a framework for migrating production Large Language Model (LLM) based systems when the underlying model reaches end-of-life or requires replacement. The key contribution is a Bayesian statiโ€ฆ

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Computer Science Preprint PDF DOI

Where did we fail? -- Reproducing build failures in embedded open source software

Han Fu, Andreas Ermedahl, Sigrid Eldh, Kristian Wiklund, Philipp Haller, Cyrille Artho ยท 2026

Due to hardware-software co-development in embedded systems, continuous integration (CI) builds frequently fail because of complex cross-compilation, board configurations, and toolchain constraints. Aโ€ฆ

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Physics Preprint PDF DOI

Dissipation Mechanisms and Dissipative Phase Transitions of two coupled Fully Connected Quantum Ising models

Bidyut Dey, Andrea Nava, Domenico Giuliano ยท 2026

We study dissipative phase transitions in a system of two coupled fully-connected quantum Ising models interacting with an environment. The dynamics is governed by a Lindblad master equation combiningโ€ฆ

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Chemistry Preprint PDF DOI

Experimentally Accurate Graph Neural Network Predictions of Core-Electron Binding Energies

Adam E. A. Fouda, Joshua Zhou, Rodrigo Ferreira, Patrick Phillips, Valay Agarawal, Bhavnesh Jangid, Jacob J. Wardzala, Rui Ding, Junhong Chen, Nicole Tebaldi, Phay J. Ho, Laura Gagliardi, Linda Young ยท 2026

Graph neural network architectures are advantageous for predicting core-electron binding energies which depend on local bond environment effects, as the number of message passing layers defines the toโ€ฆ

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Physics Preprint PDF DOI

Coupling between stellar and HI lopsidedness in Milky Way-type galaxies from the Auriga Superstars cosmological simulations

Arianna Dolfi, Facundo A. Gomez, Rebekka Bieri, Francesca Fragkoudi, Robert J. J. Grand, Antonela Monachesi, Ruediger Pakmor, Freeke van de Voort ยท 2026

Lopsidedness is common in disk galaxies, yet its origin and evolution remain unclear. Previous studies typically examined stellar and gas asymmetries separately, but a combined analysis offers a stronโ€ฆ

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Physics Preprint PDF DOI

Nonlocal nonstabilizerness in free fermion models

Mario Collura, Benjamin Beri, Emanuele Tirrito ยท 2026

Nonlocal magic quantifies the irreducible nonstabilizerness of a bipartite quantum state after optimizing over local basis changes. We study nonlocal magic for pure fermionic Gaussian states, and deriโ€ฆ

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Physics Preprint PDF DOI

Non-Local Magic Resources for Fermionic Gaussian States

Daniele Iannotti, Beatrice Magni, Riccardo Cioli, Alioscia Hamma, Xhek Turkeshi ยท 2026

Entanglement and magic are fundamental resources that capture the complexity of quantum many-body systems. Non-local magic isolates the irreducible nonstabilizerness intrinsically tied to entanglementโ€ฆ

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AI & Data Science Preprint PDF DOI

Detecting Clinical Discrepancies in Health Coaching Agents: A Dual-Stream Memory and Reconciliation Architecture

Samuel L Pugh, Eric Yang, Alexander Muir Sutherland, Alessandra Breschi ยท 2026

As Large Language Model (LLM) agents transition from single-session tools to persistent systems managing longitudinal healthcare journeys, their memory architectures face a critical challenge: reconciโ€ฆ

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AI & Data Science Preprint PDF DOI

Three-Step Nav: A Hierarchical Global-Local Planner for Zero-Shot Vision-and-Language Navigation

Wanrong Zheng, Yunhao Ge, Laurent Itti ยท 2026

Breakthrough progress in vision-based navigation through unknown environments has been achieved by using multimodal large language models (MLLMs). These models can plan a sequence of motions by evaluaโ€ฆ

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