Tootfinder

The Personality Illusion: Revealing Dissociation Between Self-Reports & Behavior in LLMs
Pengrui Han, Rafal Kocielnik, Peiyang Song, Ramit Debnath, Dean Mobbs, Anima Anandkumar, R. Michael Alvarez
https://arxiv.org/abs/2509.03730

The Personality Illusion: Revealing Dissociation Between Self-Reports & Behavior in LLMs
Personality traits have long been studied as predictors of human behavior.Recent advances in Large Language Models (LLMs) suggest similar patterns may emerge in artificial systems, with advanced LLMs displaying consistent behavioral tendencies resembling human traits like agreeableness and self-regulation. Understanding these patterns is crucial, yet prior work primarily relied on simplified self-reports and heuristic prompting, with little behavioral validation. In this study, we systematicall…

Coherence-Driven Quantum Battery Charging via Autonomous Thermal Machines: Energy Transfer, Memory Effects, and Ergotropy Enhancement
Achraf Khoudiri, Abderrahman Oularabi, Khadija El Anouz, \.Ilkay Demir, Abderrahim El Allati
https://arxiv.org/abs/2509.03766

Coherence-Driven Quantum Battery Charging via Autonomous Thermal Machines: Energy Transfer, Memory Effects, and Ergotropy Enhancement
In this work, we study a hybrid quantum system composed of a quantum battery and a coherence-driven charger interacting with a Quantum Autonomous Thermal Machine (QATM). The QATM, made of two qubits each coupled to Markovian Bosonics thermal reservoirs at different temperatures, acts as a structured environment that mediates energy and coherence transfer between the charger and the battery. By presenting a coherent driving field on the charger, we investigate the coherence injection effect on t…

Transportation Cyber Incident Awareness through Generative AI-Based Incident Analysis and Retrieval-Augmented Question-Answering Systems
Ostonya Thomas, Muhaimin Bin Munir, Jean-Michel Tine, Mizanur Rahman, Yuchen Cai, Khandakar Ashrafi Akbar, Md Nahiyan Uddin, Latifur Khan, Trayce Hockstad, Mashrur Chowdhury
https://arxiv.org/abs/2508.025…

Transportation Cyber Incident Awareness through Generative AI-Based Incident Analysis and Retrieval-Augmented Question-Answering Systems
Technological advancements have revolutionized numerous industries, including transportation. While digitalization, automation, and connectivity have enhanced safety and efficiency, they have also introduced new vulnerabilities. With 95% of data breaches attributed to human error, promoting cybersecurity awareness in transportation is increasingly critical. Despite numerous cyberattacks on transportation systems worldwide, comprehensive and centralized records of these incidents remain scarce. …

Non-Ferroelectric to Ferroelectric Phase Transition in epitaxial Y:HfO$_2$ via Rapid Thermal Annealing Induced Nitrogen Doping
Soumyajyoti Mondal, Asraful Haque, Binoy Krishna De, Shubham Kumar Parate, Pramod Kumar Yadav, Arup Basak, Kaushal Tiwari, Bhagwati Prasad, Pavan Nukala
https://arxiv.org/abs/2509.02229

Non-Ferroelectric to Ferroelectric Phase Transition in epitaxial Y:HfO$_2$ via Rapid Thermal Annealing Induced Nitrogen Doping
Oxygen vacancies are often essential for stabilizing the orthorhombic ferroelectric phase in HfO$_2$, with cationic doping widely employed to introduce such defects. In contrast, systematic studies on anionic doping to induce ferroelectricity remain largely in nascent stages. On epitaxial Y:HfO$_2$ grown on ITO buffered YSZ substrates that crystallize in a mixed monoclinic (non-polar) and orthorhombic (polar) phases, we introduce nitrogen doping via post deposition rapid thermal annealing (RTA)…

Acrobotics: A Generalist Approahc To Quadrupedal Robots' Parkour
Guillaume Gagn\'e-Labelle, Vassil Atanassov, Ioannis Havoutis
https://arxiv.org/abs/2509.02727 https://

Acrobotics: A Generalist Approahc To Quadrupedal Robots' Parkour
Climbing, crouching, bridging gaps, and walking up stairs are just a few of the advantages that quadruped robots have over wheeled robots, making them more suitable for navigating rough and unstructured terrain. However, executing such manoeuvres requires precise temporal coordination and complex agent-environment interactions. Moreover, legged locomotion is inherently more prone to slippage and tripping, and the classical approach of modeling such cases to design a robust controller thus quick…

Backward Responsibility in Transition Systems Beyond Safety
Christel Baier, Rio Klatt, Sascha Kl\"uppelholz, Johannes Lehmann
https://arxiv.org/abs/2506.05192

Backward Responsibility in Transition Systems Beyond Safety
As the complexity of software systems rises, methods for explaining their behaviour are becoming ever-more important. When a system fails, it is critical to determine which of its components are responsible for this failure. Within the verification community, one approach uses graph games and the Shapley value to ascribe a responsibility value to every state of a transition system. As this is done with respect to a specific failure, it is called backward responsibility. This paper provides ti…

Integrating Pruning with Quantization for Efficient Deep Neural Networks Compression
Sara Makenali, Babak Rokh, Ali Azarpeyvand
https://arxiv.org/abs/2509.04244 https://

Integrating Pruning with Quantization for Efficient Deep Neural Networks Compression
Deep Neural Networks (DNNs) have achieved significant advances in a wide range of applications. However, their deployment on resource-constrained devices remains a challenge due to the large number of layers and parameters, which result in considerable computational and memory demands. To address this issue, pruning and quantization are two widely used compression techniques, commonly applied individually in most studies to reduce model size and enhance processing speed. Nevertheless, combining…

A nonstandard finite difference scheme for an SEIQR epidemiological PDE mode
Achraf Zinihi, Matthias Ehrhardt, Moulay Rchid Sidi Ammi
https://arxiv.org/abs/2508.02928 https://…

A nonstandard finite difference scheme for an SEIQR epidemiological PDE mode
This paper introduces a nonstandard finite difference (NSFD) approach to a reaction-diffusion SEIQR epidemiological model, which captures the spatiotemporal dynamics of infectious disease transmission. Formulated as a system of semilinear parabolic partial differential equations (PDEs), the model extends classical compartmental models by incorporating spatial diffusion to account for population movement and spatial heterogeneity. The proposed NSFD discretization is designed to preserve the cont…

Inertial Imaging of Dual Mass Distributions on a Graphene Nanodrum: A Computational Study
Adhinarayan Naembin Ashok, Sanjam Bedi, Taha Ashraf Ali Shaikh, Jai Aadhithya Ramesh, Adarsh Ganesan
https://arxiv.org/abs/2508.02099

Inertial Imaging of Dual Mass Distributions on a Graphene Nanodrum: A Computational Study
This paper presents the possibility for inertial imaging of spatially patterned annular mass distributions of a circular graphene nanodrum resonator. By placing two distinct analytes in concentric annular regions, we harness the vibrational mode-specific sensitivities of the nanodrum to estimate their respective mass densities. An analytical formulation based on the Rayleigh-Ritz principle is developed to relate radial mass loading to modal frequency shifts. Finite element simulations are perfo…

Replaced article(s) found for cs.CR. https://arxiv.org/list/cs.CR/new
[1/1]:
- OblivIO: Securing reactive programs by oblivious execution with bounded traffic overheads
Jeppe Fredsgaard Blaabjerg, Aslan Askarov