output
19912026

5,148 papers

cs.CY2026★ 81 cited

Social bot detection in the age of ChatGPT: Challenges and opportunities

Emilio Ferrara

We present a comprehensive overview of the challenges and opportunities in social bot detection in the context of the rise of sophisticated AI-based chatbots. By examining the stat…

cs.RO2026

Hamilton-Jacobi Reachability for Hybrid Systems: Unified Goal-Driven Control with Safety Guarantees

Javier Borquez, Shuang Peng, Somil Bansal

Hybrid dynamical systems provide a powerful modeling framework for robotic systems, particularly in contact-rich environments. However, ensuring safety and performance in such syst…

cond-mat.mtrl-sci2026

High-Temperature ferromagnetism from site-selective filling in (Fe,Ni)GeTe

Tyler L. Werner, Jonathan T. Reichanadter, Xiang Chen +23

The discovery of high-temperature ferromagnetism in the metallic van der Waals (vdW) system FeGeTe has brought two-dimensional (2D) magnets into technologically relevant te…

physics.flu-dyn2026

Creeping flows through confined arrays of cylinders

Sean Bohling, Sri Savya Tanikella, J. P. Raimondi +2

Hair-covered appendages serve a variety of purposes in Nature, from chemical sensing and particle capture on the antennae of a crustacean to drag generation on bristled wings. At l…

astro-ph.IM2026

Automation and Modernisation of Legacy BiSON Solar Observatories with the BiSON:NG Platform

S. J. Hale, E. Murray, W. J. Chaplin +4

The Birmingham Solar Oscillations Network (BiSON) provides long-term, high-precision Sun-as-a-star radial-velocity observations for helioseismology. While most BiSON sites operate…

quant-ph2026

Physics-Constrained Compressed Sensing for Quantum Sensing in the Data-Starved Regime

Amir Kalev

Quantum sensors promise measurement sensitivities that can scale at the Heisenberg limit, but in practice their performance is often degraded by noise, finite sampling, and impleme…

cs.SI2026

Angry but Accurate: Detecting and Profiling the Counter-Misinformation Ecosystem on Twitter

Eun Cheol Choi, Emilio Ferrara

On social media, many users actively push back against false claims. Understanding who pushes back and how they do so matters, as this corrective activity is central to how misinfo…

cond-mat.mtrl-sci2026

First-principles predictions of carrier mobility with record accuracy using GW perturbation theory

Nick Pant, Sabyasachi Tiwari, Steven G. Louie +2

Accurate prediction of carrier mobility is critical for the discovery and design of next-generation electronic materials. Despite sustained progress, state-of-the-art ab initio met…

cs.RO2026

A Hierarchical Approach to Imitation Learning for Manipulation Tasks Requiring Time Varying Forces

Rishabh Shukla, Adithya Santhosh, Shaili Gandhi +2

Diffusion policies have shown strong performance in learning complex, multi-modal behaviors for robotic manipulation. However, their application to contact-rich disassembly tasks r…

cs.LG2026

Coarse-to-Fine Multi-Resolution Diffusion Models for Trajectory Generation in Urban Systems

Wen Ye, Muyan Weng, Chuizheng Meng +3

Understanding human mobility is critical for a wide range of urban applications, including traffic management, epidemic control, and urban planning. However, due to privacy concern…

cs.CR2026

Hollow-LLM Attack: Computationally Trivial Weights in Zero-Knowledge Verification of LLM Inference

Chen Gong, Beijie Liu, Mengyuan Li

As large language models (LLMs) grow in scale and are predominantly served from remote platforms, verifying faithful inference execution becomes critical (i.e., ensuring that a pro…

cs.GR2026

Interactive Extraction of High-Frequency Aesthetically-Coherent Colormaps

Santiago V. Lombeyda, Mathieu Desbrun

Color transfer functions (i.e. colormaps) exhibiting a high frequency luminosity component have proven to be useful in the visualization of data where feature detection or iso-cont…

cs.LG2026

Trustworthy Protein-Ligand Binding Affinity Prediction via Reliability-Aware Multi-Engine Fusion

Yongchan Hong, Defu Cao, Wenjin Liu +6

Accurate protein-ligand binding affinity prediction is central to computational drug discovery, yet modern docking engines frequently disagree without indicating which prediction t…

cs.CY2026

Defeat Devices in AI Systems

Emilio Ferrara

AI systems increasingly exhibit behavior that differs systematically between evaluation and deployment contexts. Alignment faking, sandbagging, benchmark gaming, deceptive scheming…

cs.MM2026★ 6 cited

An Evaluation of Decentralized Group Formation Techniques for Flying Light Specks

Hamed Alimohammadzadeh, Heather Culbertson, Shahram Ghandeharizadeh

Group formation is fundamental for 3D displays that use Flying Light Specks, FLSs, to illuminate shapes and provide haptic interactions. An FLS is a drone with light sources that i…

cs.DB2026

Query Cost Model Calibration in Confidential Virtual Machines

Qihan Zhang, Mengyuan Li, Ibrahim Sabek

With the growing adoption of Confidential Computing, running databases in confidential virtual machines (CVMs) such as AMD SEV-SNP has become an attractive way to protect sensitive…

cs.RO2026★ 5 cited

Swazure: Swarm Measurement of Pose for Flying Light Specks

Hamed Alimohammadzadeh, Shahram Ghandeharizadeh

One may construct a 3D multimedia display using miniature drones configured with light sources, Flying Light Specks (FLSs). Swarms of FLSs localize to illuminate complex 3D shapes…

cond-mat.mtrl-sci2026

Characterizing Dislocation Substructures in Creep-Deformed Olivine Using Electron Channeling Contrast Imaging

M. Haroon Qaiser, Jessica White, David Wallis +1

Olivine is the dominant mineral in Earth's upper mantle and therefore controls mantle rheology and the mechanics of plate tectonics. The constitutive laws for dislocation-mediated…

cs.GR2026★ 2 cited

Illuminating English Letters Using a Flying Light Speck

Hamed Alimohammadzadeh, Shahram Ghandeharizadeh

This paper presents the design and implementation of a Flying Light Speck (FLS) to illuminate English letters. The FLS uses its onboard camera and computing to localize and follow…

cs.CR2026★ 1 cited

Breaking TinyML: Why Quantized Neural Networks Need Domain-Specific Security Analysis

Jacob Huckelberry, Andrea Mattia Garavagno, Yuke Zhang +3

Most TinyML hardware accelerators focus on supporting Quantized Neural Networks (QNNs) to meet stringent constraints on power consumption and size. Despite this, the security aspec…

cs.CY2026

Will AI Agents Free Us From Meaningless Work? A Human-Centered Analysis

Davide Ghia, Jaspreet Ranjit, Tania Cerquitelli +1

Some claim that AI agents will free workers from the boring parts of their jobs, yet little is known about how workers themselves identify which tasks should be automated. Prior re…

astro-ph.CO2026

A Unified Halo Mass Function Across Dark Matter Models from High-Resolution Multi-Scale Simulations

Andrew J. Benson, Ethan O. Nadler, Xiaolong Du +1

We measure the dark matter halo mass function, with backsplash halos removed, from a wide range of cosmological-box and zoom-in simulations. These include the MultiDark Planck boxe…

physics.chem-ph2026★ 99 cited

Spin-Dependent Electron Transport through Bacterial Cell Surface Multiheme Electron Conduits

Suryakant Mishra, Sahand Pirbadian, Amit Kumar Mondal +2

Multiheme cytochromes, located on the bacterial cell surface, function as long-distance (> 10 nm) electron conduits linking intracellular reactions to external surfaces. This extra…

cs.GT2026

Learning Fair Allocation of Indivisible Items from Limited Feedback

Xinyu Liu, David Kempe, Evi Micha

We study a setting in which an algorithm must output a fair allocation of indivisible items while "learning on the job". More specifically, the algorithm is to output an allocation…