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AI & Data Science Preprint PDF DOI

Representation Fr\'echet Loss for Visual Generation

Jiawei Yang, Zhengyang Geng, Xuan Ju, Yonglong Tian, Yue Wang · 2026

We show that Fr\'echet Distance (FD), long considered impractical as a training objective, can in fact be effectively optimized in the representation space. Our idea is simple: decouple the population…

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Computer Science Preprint PDF DOI

FlashRT: Towards Computationally and Memory Efficient Red-Teaming for Prompt Injection and Knowledge Corruption

Yanting Wang, Chenlong Yin, Ying Chen, Jinyuan Jia · 2026

Long-context large language models (LLMs)-for example, Gemini-3.1-Pro and Qwen-3.5-are widely used to empower many real-world applications, such as retrieval-augmented generation, autonomous agents, a…

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Computer Science Preprint PDF DOI

I hope we don't do to trust what advertising has done to love

Jade Alglave · 2026

Advertising uses love to sell stuff, like nylons. It also uses the word "love" in trivialising ways -- do you "love" your oven? When I hear about trust in the context of AI, especially agentic, I hope…

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AI & Data Science Preprint PDF DOI

What Makes a Good Terminal-Agent Benchmark Task: A Guideline for Adversarial, Difficult, and Legible Evaluation Design

Ivan Bercovich · 2026

Terminal-agent benchmarks have become a primary signal for measuring the coding and system-administration capabilities of large language models. As the market for evaluation environments grows, so doe…

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Physics Preprint PDF DOI

Many-mode grating couplers by avoiding undesired couplings

Nazar Pyvovar, Hao Li, Zhaowei Dai, Owen D. Miller · 2026

To couple many independent modes from free space to on chip, the key challenge is not enhancing the many necessary coupling rates (scattering-matrix elements) between targeted mode pairs. Instead, the…

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Physics Preprint PDF DOI

Multimode grating couplers via foundry-compliant inverse design

Hao Li, Nazar Pyvovar, Zhaowei Dai, Owen D. Miller · 2026

We apply a systematic inverse design approach to discover foundry-compliant, multilayer grating couplers that can efficiently couple a number of independent waves from free space to on-chip propagatin…

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Mathematics Preprint PDF DOI

A near-optimal recovery algorithm for the Stokes equations with incomplete information on the boundary conditions

Andrea Bonito, Diane Guignard · 2026

We address the problem of numerically approximating the velocity and pressure governed by the Stokes system when the boundary conditions are only partially known and thus do not uniquely determine the…

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Computer Science Preprint PDF DOI

From Mirage to Grounding: Towards Reliable Multimodal Circuit-to-Verilog Code Generation

Guang Yang, Xing Hu, Xiang Chen, Xin Xi · 2026

Multimodal large language models (MLLMs) are increasingly used to translate visual artifacts into code, from UI mockups into HTML to scientific plots into Python scripts. A circuit diagram can be view…

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AI & Data Science Preprint PDF DOI

CastFlow: Learning Role-Specialized Agentic Workflows for Time Series Forecasting

Bokai Pan, Mingyue Cheng, Zhiding Liu, Shuo Yu, Xiaoyu Tao, Yuchong Wu, Qi Liu, Defu Lian, Enhong Chen · 2026

Recently, large language models (LLMs) have shown great promise in time series forecasting. However, most existing LLM-based forecasting methods still follow a static generative paradigm that directly…

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Engineering Preprint PDF DOI

Robust Geometric Control of Catenary Robots under Unstructured Force Uncertainties

Alexandre Anahory Simoes, Leonardo Colombo · 2026

This paper considers the robust control of a catenary robot composed of two quadrotors connected by an inextensible cable. The system is modeled on \(SE(3)\), with the cable treated as a geometric sub…

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AI & Data Science Preprint PDF DOI

The TEA Nets framework combines AI and cognitive network science to model targets, events and actors in text

Sebastiano Franchini, Alexis Carrillo, Edoardo Sebastiano De Duro, Riccardo Improta, Ali Aghazadeh Ardebili, Massimo Stella · 2026

We introduce Target-Event-Agent Networks (TEA Nets) as a computational framework to extract subjects (``Agents"), verbs (``Events"), and objects (``Targets") from texts. Grounded in cognitive network …

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Mathematics Preprint PDF DOI

Structural description of (bull, house)-free graphs

Manoj Belavadi, Chinh T. Hoang · 2026

The bull is a graph consisting of a triangle and two pendant edges. The P_5 is the chordless path on five vertices. The house is the complement of a P_5. A graph is k-critical if it is k-chromatic but…

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AI & Data Science Preprint PDF DOI

HealthBench Professional: Evaluating Large Language Models on Real Clinician Chats

Rebecca Soskin Hicks, Mikhail Trofimov, Dominick Lim, Rahul K. Arora, Foivos Tsimpourlas, Preston Bowman, Michael Sharman, Chi Tong, Kavin Karthik, Arnav Dugar, Akshay Jagadeesh, Khaled Saab, Johannes Heidecke, Ashley Alexander, Nate Gross, Karan Singhal · 2026

Millions of clinicians use ChatGPT to support clinical care, but evaluations of the most common use cases in model-clinician conversations are limited. We introduce HealthBench Professional, an open b…

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Physics Preprint PDF DOI

High-fidelity iSWAP gate with Double Transmon Coupler

Tarush Tiwari, Sudhir K. Sahu, Guilhem Ribeill, Michael Senatore, Matthew D. LaHaye, Raymond W. Simmonds, Daniel L. Campbell, Archana Kamal, Leonardo Ranzani · 2026

Entangling operations are at the heart of all approaches to quantum information processing. Parametric gates, in particular, offer a versatile solution to strongly couple off-resonant superconducting …

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Earth & Environmental Sciences Preprint PDF DOI

The tale of the 3 planets: 3D cloud feedback enhances the spectral diversity of warm Jupiters

Nishil Mehta, Vivien Parmentier, Xianyu Tan, Elspeth K. H. Lee, Tristan Guillot, Matthew M. Murphy, Thomas P. Greene, Thomas G. Beatty, Taylor J. Bell, Jonathan J. Fortney, Michael R. Line, Sagnick Mukherjee, Kazumasa Ohno, Everett Schlawin, Anastasia Triantafillides, Luis Welbanks, Lindsey S. Wiser · 2026

JWST has shown a large diversity in warm Jupiter spectra, despite only small variations in the planetary parameters. However, the main driver of this diversity remains unclear. We aim to identify the …

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Computer Science Preprint PDF DOI

Solving Positive Linear Programs with Differential Privacy

Alina Ene, Huy Le Nguyen, Ta Duy Nguyen, Adrian Vladu · 2026

We study differentially private approximation algorithms for positive linear programs (LPs with nonnegative coefficients and variables), focusing on the fundamental families of packing, covering, and …

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AI & Data Science Preprint PDF DOI

HalluCiteChecker: A Lightweight Toolkit for Hallucinated Citation Detection and Verification in the Era of AI Scientists

Yusuke Sakai, Hidetaka Kamigaito, Taro Watanabe · 2026

We introduce HalluCiteChecker, a toolkit for detecting and verifying hallucinated citations in scientific papers. While AI assistant technologies have transformed the academic writing process, includi…

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Physics Preprint PDF DOI

Addressable Rydberg excitation in arrays of single neutral atoms with a strongly focused flat-top beam

I. V. Iukhnovets, M. Y. Goloshchapov, A. P. Gordeev, O. V. Bychkova, I. B. Bobrov, G. I. Struchalin, S. S. Straupe · 2026

We present a method for generating a laser beam with flat intensity and phase profiles in the focal region where the beam interacts with neutral $^{87}$Rb atoms in an array of optical dipole traps. We…

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Computer Science Preprint PDF DOI

The Buy-or-Build Decision, Revisited: How Agentic AI Changes the Economics of Enterprise Software

David Klotz · 2026

Advances in generative artificial intelligence, particularly agentic coding systems capable of autonomous software development, are disrupting the economics of the make-or-buy decision for enterprise …

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AI & Data Science Preprint PDF DOI

Uncertainty-Aware Reward Discounting for Mitigating Reward Hacking

Disha Singha · 2026

Reinforcement learning (RL) systems typically optimize scalar reward functions that assume precise and reliable evaluation of outcomes. However, real-world objectives--especially those derived from hu…

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