Expertini Research Research

Browse Research Papers

5,384+ open-access research outputs.

✕ Clear
🔍 emil jerabek
Showing 5384 results for "emil jerabek"
Engineering Preprint PDF DOI

Intelligent Self-tuning Active EMI Filtering for Electrified Automotive Power Systems Using Reinforcement Learning

Mahuizi Lu, Kelin Jia, Rajib Goswami, Yukun Hu · 2026

The rapid electrification and intelligence of modern transportation systems place stringent demands on the electromagnetic compatibility, reliability, and adaptability of automotive power electronics.…

Read Paper →
AI & Data Science Preprint PDF DOI

Path-Lock Expert: Separating Reasoning Mode in Hybrid Thinking via Architecture-Level Separation

Shouren Wang, Wang Yang, Chuang Ma, Debargha Ganguly, Vikash Singh, Chaoda Song, Xinpeng Li, Xianxuan Long, Vipin Chaudhary, Xiaotian Han · 2026

Hybrid-thinking language models expose explicit think and no-think modes, but current designs do not separate them cleanly. Even in no-think mode, models often emit long and self-reflective responses,…

Read Paper →
Engineering Preprint PDF DOI

Empirical Material Sampling and Linearisation -- A Simple and Efficient Strain-Space Model Order Reduction Approach for Computational Homogenisation in Large-Deformation Hyperelasticity

Erik Faust, Lisa Scheunemann · 2026

In this article, we propose a simple and efficient hyperreduced strain-space model order reduction (MOR) approach for hyperelastic representative volume elements (RVEs), called Empirical Material Samp…

Read Paper →
Computer Science Preprint PDF DOI

EMiX: Emulating Beyond Single-FPGA Limits

Alexander Kropotov, Miquel Moreto, Behzad Salami · 2026

FPGA-level emulation is a key step in pre-silicon chip design validation. However, emulating large-scale multi-core systems increasingly exceed the hardware resource capacity of a single FPGA, limitin…

Read Paper →
Engineering Preprint PDF DOI

VEHRON: A Configuration-Driven BEV Simulation Framework for Subsystem-Level Studies

Subramanyam Natarajan · 2026

In practical early-stage battery-electric vehicle studies, analysis workflows may become fragmented across spreadsheets, notebooks, and project-specific scripts, making reuse, audit, and extension har…

Read Paper →
Computer Science Preprint PDF DOI

Layerwise Convergence Fingerprints for Runtime Misbehavior Detection in Large Language Models

Nay Myat Min, Long H. Pham, Jun Sun · 2026

Large language models deployed at runtime can misbehave in ways that clean-data validation cannot anticipate: training-time backdoors lie dormant until triggered, jailbreaks subvert safety alignment, …

Read Paper →
Physics Preprint PDF DOI

Measurement of jet photoproduction in ultra-peripheral Pb+Pb collisions without nuclear breakup at $\sqrt{s_\mathrm{NN}} = 5.02$ TeV with the ATLAS detector

ATLAS Collaboration · 2026

In ultra-relativistic heavy ion collisions at the LHC, each nucleus acts as a source of high-energy quasi-real photons that can participate in scattering processes without causing either participating…

Read Paper →
Physics Preprint PDF DOI

Algebraic structure behind Odrzywo{\l}ek's EML operator

Tomasz Stachowiak · 2026

The binary EML operator yields all (transcendental) elementary functions by recursive application, or a binary tree. The structure of the operator itself carries two distinct ingredients: that of an a…

Read Paper →
AI & Data Science Preprint PDF DOI

ClawMark: A Living-World Benchmark for Multi-Turn, Multi-Day, Multimodal Coworker Agents

Fanqing Meng, Lingxiao Du, Zijian Wu, Guanzheng Chen, Xiangyan Liu, Jiaqi Liao, Chonghe Jiang, Zhenglin Wan, Jiawei Gu, Pengfei Zhou, Rui Huang, Ziqi Zhao, Shengyuan Ding, Ailing Yu, Bo Peng, Bowei Xia, Hao Sun, Haotian Liang, Ji Xie, Jiajun Chen, Jiajun Song, Liu Yang, Ming Xu, Qionglin Qiu, Runhao Fu, Shengfang Zhai, Shijian Wang, Tengfei Ma, Tianyi Wu, Weiyang Jin, Yan Wang, Yang Dai, Yao Lai, Youwei Shu, Yue Liu, Yunzhuo Hao, Yuwei Niu, Jinkai Huang, Jiayuan Zhuo, Zhennan Shen, Linyu Wu, Cihang Xie, Yuyin Zhou, Jiaheng Zhang, Zeyu Zheng, Mengkang Hu, Michael Qizhe Shieh · 2026

Language-model agents are increasingly used as persistent coworkers that assist users across multiple working days. During such workflows, the surrounding environment may change independently of the a…

Read Paper →
Computer Science Preprint PDF DOI

CyberCane: Neuro-Symbolic RAG for Privacy-Preserving Phishing Detection with Formal Ontology Reasoning

Safayat Bin Hakim, Aniqa Afzal, Qi Zhao, Vigna Majmundar, Pawel Sloboda, Houbing Herbert Song · 2026

Privacy-critical domains require phishing detection systems that satisfy contradictory constraints: near-zero false positives to prevent workflow disruption, transparent explanations for non-expert st…

Read Paper →
AI & Data Science Preprint PDF DOI

GSAR: Typed Grounding for Hallucination Detection and Recovery in Multi-Agent LLMs

Federico A. Kamelhar · 2026

Autonomous multi-agent LLM systems are increasingly deployed to investigate operational incidents and produce structured diagnostic reports. Their trustworthiness hinges on whether each claim is groun…

Read Paper →
Computer Science Preprint PDF DOI

Sovereign Agentic Loops: Decoupling AI Reasoning from Execution in Real-World Systems

Jun He, Deying Yu · 2026

Large language model (LLM) agents increasingly issue API calls that mutate real systems, yet many current architectures pass stochastic model outputs directly to execution layers. We argue that this c…

Read Paper →
Computer Science Preprint PDF DOI

MCP Pitfall Lab: Exposing Developer Pitfalls in MCP Tool Server Security under Multi-Vector Attacks

Run Hao, Zhuoran Tan · 2026

Model Context Protocol (MCP) is increasingly adopted for tool-integrated LLM agents, but its multi-layer design and third-party server ecosystem expand risks across tool metadata, untrusted outputs, c…

Read Paper →
Computer Science Preprint PDF DOI

A Cloud-Native Architecture for Human-in-Control LLM-Assisted OpenSearch in Investigative Settings

Benjamin Puhani, Kai Brehmer, Malte Prie{ss} · 2026

Complex criminal investigations are often hindered by large volumes of unstructured evidence and by the semantic gap between natural language investigative intent and technical search logic. To addres…

Read Paper →
AI & Data Science Preprint PDF DOI

Trust, Lies, and Long Memories: Emergent Social Dynamics and Reputation in Multi-Round Avalon with LLM Agents

Suveen Ellawela · 2026

We study emergent social dynamics in LLM agents playing The Resistance: Avalon, a hidden-role deception game. Unlike prior work on single-game performance, our agents play repeated games while retaini…

Read Paper →
AI & Data Science Preprint PDF DOI

What Makes a Good AI Review? Concern-Level Diagnostics for AI Peer Review

Ming Jin · 2026

Evaluating AI-generated reviews by verdict agreement is widely recognized as insufficient, yet current alternatives rarely audit which concerns a system identifies, how it prioritizes them, or whether…

Read Paper →
Computer Science Preprint PDF DOI

The eigenvector centrality of hypergraphs

Changjiang Bu, Haotian Zeng, Qingying Zhang · 2026

A hypergraph is called uniform when every hyperedge contains the same number of vertices, otherwise, it is called non-uniform. In the real world, many systems give rise to non-uniform hypergraphs, suc…

Read Paper →
AI & Data Science Preprint PDF DOI

Random Reward Phase-Type Distributions with Applications in Latent Severity Modeling

Simon Pauli, Andreas Futschik · 2026

This paper proposes an extension to discrete Phase-Type distributions (DPH) by introducing random rewards. These allow for modeling a system in which a visit to a certain state does not emit a determi…

Read Paper →
Computer Science Preprint PDF DOI

Beyond Indistinguishability: Measuring Extraction Risk in LLM APIs

Ruixuan Liu, David Evans, Li Xiong · 2026

Indistinguishability properties such as differential privacy bounds or low empirically measured membership inference are widely treated as proxies to show a model is sufficiently protected against bro…

Read Paper →
Physics Preprint PDF DOI

Security Risks of VOA-Induced Luminescence in Chip-Based quantum key distribution

Zijian Li, Chenyu Xu, Xin Hua, Yongqiang Du, Xin Liu, Tao Lin, Xi Xiao, Kejin Wei · 2026

Integrated photonics is widely regarded as a key enabler for scalable quantum key distribution (QKD), offering compactness, stability, and compatibility with semiconductor fabrication. Despite rapid a…

Read Paper →
Page 1 of 270 Next →