Papers
Research papers from arXiv and related sources
Equivalent Circuit Modeling of Mutually Resistively Coupled Microwave Cavities with Enhanced Phase Sensitivity Using Thin Metallic Foils
We formulate and validate an equivalent circuit model describing mutual resistive coupling between three microwave cavity resonators interconnected via thin metallic foils. Each cavity is represent...
Michael T. Hatzon, Graeme R. Flower, Robert C. Crew, Jeremy F. Bourhill, Michael E. Tobar
Federated Causal Discovery Across Heterogeneous Datasets under Latent Confounding
Causal discovery across multiple datasets is often constrained by data privacy regulations and cross-site heterogeneity, limiting the use of conventional methods that require a single, centralized ...
Maximilian Hahn, Alina Zajak, Dominik Heider, Adèle Helena Ribeiro
LBM: Hierarchical Large Auto-Bidding Model via Reasoning and Acting
The growing scale of ad auctions on online advertising platforms has intensified competition, making manual bidding impractical and necessitating auto-bidding to help advertisers achieve their econ...
Yewen Li, Zhiyi Lyu, Peng Jiang, Qingpeng Cai, Fei Pan, Bo An, Peng Jiang
MedCoRAG: Interpretable Hepatology Diagnosis via Hybrid Evidence Retrieval and Multispecialty Consensus
Diagnosing hepatic diseases accurately and interpretably is critical, yet it remains challenging in real-world clinical settings. Existing AI approaches for clinical diagnosis often lack transparen...
Zheng Li, Jiayi Xu, Zhikai Hu, Hechang Chen, Lele Cong, Yunyun Wang, Shuchao Pang
Measuring the Redundancy of Decoder Layers in SpeechLLMs
Speech Large Language Models route speech encoder representations into an LLM decoder that typically accounts for over 90% of total parameters. We study how much of this decoder capacity is actuall...
Adel Moumen, Guangzhi Sun, Philip C Woodland
ARC-TGI: Human-Validated Task Generators with Reasoning Chain Templates for ARC-AGI
The Abstraction and Reasoning Corpus (ARC-AGI) probes few-shot abstraction and rule induction on small visual grids, but progress is difficult to measure on static collections of hand-authored puzz...
Jens Lehmann, Syeda Khushbakht, Nikoo Salehfard, Nur A Zarin Nishat, Dhananjay Bhandiwad, Andrei ...
TW-Sound580K: A Regional Audio-Text Dataset with Verification-Guided Curation for Localized Audio-Language Modeling
Large Audio-Language Models (LALMs) typically struggle with localized dialectal prosody due to the scarcity of specialized corpora. We present TW-Sound580K, a Taiwanese audio-text instruction datas...
Hao-Hui Xie, Ho-Lam Chung, Yi-Cheng Lin, Ke-Han Lu, Wenze Ren, Xie Chen, Hung-yi Lee
PromptTuner: SLO-Aware Elastic System for LLM Prompt Tuning
Prompt tuning has become a prominent strategy for enhancing the performance of Large Language Models (LLMs) on downstream tasks. Many IT enterprises now offer Prompt-Tuning-as-a-Service to fulfill ...
Wei Gao, Peng Sun, Dmitrii Ustiugov, Tianwei Zhang, Yonggang Wen
Wire Your Way: Hardware-Contextualized Guidance and In-situ Tests for Personalized Circuit Prototyping
The increasing popularity of microcontroller platforms like Arduino enables diverse end-user developers to participate in circuit prototyping. Traditionally, follow-along tutorials serve as an esse...
Punn Lertjaturaphat, Jungwoo Rhee, Jaewon You, Andrea Bianchi
Constrained Symplectic Quantization: Disclosing the Deterministic Framework Behind Quantum Mechanics
Symplectic quantization is a functional approach to quantum field theory that allows sampling of quantum fluctuations directly in Minkowski space time by means of a generalized Hamiltonian dynamics...
Martina Giachello, Francesco Scardino, Giacomo Gradenigo
Jagarin: A Three-Layer Architecture for Hibernating Personal Duty Agents on Mobile
Personal AI agents face a fundamental deployment paradox on mobile: persistent background execution drains battery and violates platform sandboxing policies, yet purely reactive agents miss time-se...
Ravi Kiran Kadaboina
Cyber Threat Intelligence for Artificial Intelligence Systems
As artificial intelligence (AI) becomes deeply embedded in critical services and everyday products, it is increasingly exposed to security threats which traditional cyber defenses were not designed...
Natalia Krawczyk, Mateusz Szczepkowski, Adrian Brodzik, Krzysztof Bocianiak
A 360-degree Multi-camera System for Blue Emergency Light Detection Using Color Attention RT-DETR and the ABLDataset
This study presents an advanced system for detecting blue lights on emergency vehicles, developed using ABLDataset, a curated dataset that includes images of European emergency vehicles under vario...
Francisco Vacalebri-Lloret, Lucas Banchero, Jose J. Lopez, Jose M. Mossi
MUTEX: Leveraging Multilingual Transformers and Conditional Random Fields for Enhanced Urdu Toxic Span Detection
Urdu toxic span detection remains limited because most existing systems rely on sentence-level classification and fail to identify the specific toxic spans within those text. It is further exacerba...
Inayat Arshad, Fajar Saleem, Ijaz Hussain
Sound Mode and Scale-Dependent Growth in Two-Fluid Dynamical Dark Energy
We investigate the effects of dynamical dark energy (DDE) on the growth of cosmic structure using a two-fluid model. This framework allows the dark energy equation of state to smoothly cross the ph...
Frans van Die, Vincent Desjacques
NeuronMoE: Neuron-Guided Mixture-of-Experts for Efficient Multilingual LLM Extension
Extending large language models to low-resource languages is essential for global accessibility, but training separate models per language is prohibitively expensive. Mixture-of-Experts (MoE) archi...
Rongzhi Li, Hitomi Yanaka
WebFactory: Automated Compression of Foundational Language Intelligence into Grounded Web Agents
Current paradigms for training GUI agents are fundamentally limited by a reliance on either unsafe, non-reproducible live web interactions or costly, scarce human-crafted data and environments. We ...
Sicheng Fan, Qingyun Shi, Shengze Xu, Shengbo Cai, Tieyong Zeng, Li Ling, Yanyi Shang, Dehan Kong
Why Do You Contribute to Stack Overflow? Understanding Cross-Cultural Motivations and Usage Patterns before the Age of LLMs
Understanding motivations of contributors for participating in community question and answer platforms is crucial for sustaining knowledge-sharing ecosystem, which is necessary to advance the disci...
Sherlock A. Licorish, Elijah Zolduoarrati, Tony Savarimuthu, Rashina Hoda, Ronnie De Souza Santos...
Exploiting Intermediate Reconstructions in Optical Coherence Tomography for Test-Time Adaption of Medical Image Segmentation
Primary health care frequently relies on low-cost imaging devices, which are commonly used for screening purposes. To ensure accurate diagnosis, these systems depend on advanced reconstruction algo...
Thomas Pinetz, Veit Hucke, Hrvoje Bogunovic
The Trilingual Triad Framework: Integrating Design, AI, and Domain Knowledge in No-code AI Smart City Course
This paper introduces the "Trilingual Triad" framework, a model that explains how students learn to design with generative artificial intelligence (AI) through the integration of Design, AI, and Do...
Qian Huang, King Wang Poon