Papers
Research papers from arXiv and related sources
EMT and RMS Modeling of Thyristor Rectifiers for Stability Analysis of Converter-Based Systems
Thyristor rectifiers are a well-established and cost-effective solution for controlled high-power rectification, commonly used for hydrogen electrolysis and HVDC transmission. However, small-signal...
Ognjen Stanojev, Pol Jane Soneira, Gösta Stomberg, Mario Schweizer
3DTCR: A Physics-Based Generative Framework for Vortex-Following 3D Reconstruction to Improve Tropical Cyclone Intensity Forecasting
Tropical cyclone (TC) intensity forecasting remains challenging as current numerical and AI-based weather models fail to satisfactorily represent extreme TC structure and intensity. Although intens...
Jun Liu, Xiaohui Zhong, Kai Zheng, Jiarui Li, Yifei Li, Tao Zhou, Wenxu Qian, Shun Dai, Ruian Tie...
Mending the Holes: Mitigating Reward Hacking in Reinforcement Learning for Multilingual Translation
Large Language Models (LLMs) have demonstrated remarkable capability in machine translation on high-resource language pairs, yet their performance on low-resource translation still lags behind. Exi...
Yifeng Liu, Siqi Ouyang, Yatish Hosmane Revanasiddappa, Lei Li
Before and After ChatGPT: Revisiting AI-Based Dialogue Systems for Emotional Support
Mental health remains a major public health concern, while access to timely psychological support is often limited. AI-based dialogue systems have emerged as promising tools to address these barrie...
Daeun Lee, Dongje Yoo, Migyeong Yang, Jihyun An, Christine B. Cha, Jinyoung Han
Extending Topological Bound on Quantum Weight Beyond Symmetry-Protected Topological Phases
The quantum metric encodes the geometric structure of Bloch wave functions and governs a wide range of physical responses. Its Brillouin-zone integral, the quantum weight, appears in the structure ...
Yi-Chun Hung, Yugo Onishi, Hsin Lin, Liang Fu, Arun Bansil
Interpretable Semantic Gradients in SSD: A PCA Sweep Approach and a Case Study on AI Discourse
Supervised Semantic Differential (SSD) is a mixed quantitative-interpretive method that models how text meaning varies with continuous individual-difference variables by estimating a semantic gradi...
Hubert Plisiecki, Maria Leniarska, Jan Piotrowski, Marcin Zajenkowski
Federated Few-Shot Learning on Neuromorphic Hardware: An Empirical Study Across Physical Edge Nodes
Federated learning on neuromorphic hardware remains unexplored because on-chip spike-timing-dependent plasticity (STDP) produces binary weight updates rather than the floating-point gradients assum...
Steven Motta, Gioele Nanni
Interrogating Design Homogenization in Web Vibe Coding
Generative AI is known for its tendency to homogenize, often reproducing dominant style conventions found in training data. However, it remains unclear how these homogenizing effects extend to comp...
Donghoon Shin, Alice Gao, Rock Yuren Pang, Jaewook Lee, Katharina Reinecke, Emily Tseng
PISmith: Reinforcement Learning-based Red Teaming for Prompt Injection Defenses
Prompt injection poses serious security risks to real-world LLM applications, particularly autonomous agents. Although many defenses have been proposed, their robustness against adaptive attacks re...
Chenlong Yin, Runpeng Geng, Yanting Wang, Jinyuan Jia
SAW: Toward a Surgical Action World Model via Controllable and Scalable Video Generation
A surgical world model capable of generating realistic surgical action videos with precise control over tool-tissue interactions can address fundamental challenges in surgical AI and simulation -- ...
Sampath Rapuri, Lalithkumar Seenivasan, Dominik Schneider, Roger Soberanis-Mukul, Yufan He, Hao D...
daVinci-Env: Open SWE Environment Synthesis at Scale
Training capable software engineering (SWE) agents demands large-scale, executable, and verifiable environments that provide dynamic feedback loops for iterative code editing, test execution, and s...
Dayuan Fu, Shenyu Wu, Yunze Wu, Zerui Peng, Yaxing Huang, Jie Sun, Ji Zeng, Mohan Jiang, Lin Zhan...
Structured Quantum Optimal Control under Bandwidth and Smoothness Constraints-An Inexact Proximal-ADMM Approach for Low-Complexity Pulse Synthesis
Quantum optimal control is often judged by nominal fidelity alone, even though realistic pulse-design studies must also account for bandwidth, amplitude, and smoothness constraints. I study this st...
Ziwen Song
ARL-Tangram: Unleash the Resource Efficiency in Agentic Reinforcement Learning
Agentic reinforcement learning (RL) has emerged as a transformative workload in cloud clusters, enabling large language models (LLMs) to solve complex problems through interactions with real world....
Bangjun Xiao, Yihao Zhao, Xiangwei Deng, Shihua Yu, Yuxing Xiang, Huaqiu Liu, Qiying Wang, Liang ...
Structured Distillation for Personalized Agent Memory: 11x Token Reduction with Retrieval Preservation
Long conversations with an AI agent create a simple problem for one user: the history is useful, but carrying it verbatim is expensive. We study personalized agent memory: one user's conversation h...
Sydney Lewis
Simulation-based inference from the Lyman-alpha forest 1D power spectrum with CAMELS
We perform for the first time full simulation-based inference on the Lyman-$α$ forest 1D power spectrum. In particular, we consider the prediction of the Lyman-$α$ forest $P_{\rm 1D}(k)$ at $2.0<z<...
Francesco Sinigaglia, Patricia Iglesias-Navarro, Matteo Viel
Experimental Determination of Gamma-Ray Polarization in Strong-Field Nonlinear Compton Scattering
The polarization of gamma rays produced in strong-field quantum electrodynamics (SFQED) is a fundamental and long-standing prediction, the verification of which has remained elusive, limiting both ...
Pengpei Xie, Mingyang Zhu, Xichen Hu, Yanfei Li, Yifei Li, Tianbing Wang, Bingjun Li, Huitong Zha...
From Passive Monitoring to Active Defence: Resilient Control of Manipulators Under Cyberattacks
Cyber-physical robotic systems are vulnerable to false data injection attacks (FDIAs), in which an adversary corrupts sensor signals while evading residual-based passive anomaly detectors such as t...
Gabriele Gualandi, Alessandro V. Papadopoulos
Deconstructing the Failure of Ideal Noise Correction: A Three-Pillar Diagnosis
Statistically consistent methods based on the noise transition matrix ($T$) offer a theoretically grounded solution to Learning with Noisy Labels (LNL), with guarantees of convergence to the optima...
Chen Feng, Zhuo Zhi, Zhao Huang, Jiawei Ge, Ling Xiao, Nicu Sebe, Georgios Tzimiropoulos, Ioannis...
Dependency-Aware Parallel Decoding via Attention for Diffusion LLMs
Parallel decoding for diffusion LLMs (dLLMs) is difficult because each denoising step provides only token-wise marginal distributions, while unmasking multiple tokens simultaneously requires accoun...
Bumjun Kim, Dongjae Jeon, Moongyu Jeon, Albert No
Extending Exact Integrality Gap Computations for the Metric TSP
The subtour relaxation of the traveling salesman problem (TSP) plays a central role in approximation algorithms and polyhedral studies of the TSP. A long-standing conjecture asserts that the integr...
William Cook, Stefan Hougardy, Moritz Petrich