Papers
Research papers from arXiv and related sources
InCoder-32B: Code Foundation Model for Industrial Scenarios
Recent code large language models have achieved remarkable progress on general programming tasks. Nevertheless, their performance degrades significantly in industrial scenarios that require reasoni...
Jian Yang, Wei Zhang, Jiajun Wu, Junhang Cheng, Shawn Guo, Haowen Wang, Weicheng Gu, Yaxin Du, Jo...
When the City Teaches the Car: Label-Free 3D Perception from Infrastructure
Building robust 3D perception for self-driving still relies heavily on large-scale data collection and manual annotation, yet this paradigm becomes impractical as deployment expands across diverse ...
Zhen Xu, Jinsu Yoo, Cristian Bautista, Zanming Huang, Tai-Yu Pan, Zhenzhen Liu, Katie Z Luo, Mark...
Bayesian Inference of Psychometric Variables From Brain and Behavior in Implicit Association Tests
Objective. We establish a principled method for inferring mental health related psychometric variables from neural and behavioral data using the Implicit Association Test (IAT) as the data generati...
Christian A. Kothe, Sean Mullen, Michael V. Bronstein, Grant Hanada, Marcelo Cicconet, Aaron N. M...
Prospects for precision CE$ν$NS measurements with electron-capture neutrinos and lithium-based bolometers
We evaluate the feasibility of high-precision coherent elastic neutrino-nucleus scattering measurements exploiting mono-energetic neutrinos produced by electron-capture (EC) decays of intense radio...
Giovanni Benato, Francesca M. Pofi, Andrei Puiu, Christoph A. Ternes
Ember: A Serverless Peer-to-Peer End-to-End Encrypted Messaging System over an IPv6 Mesh Network
This paper presents Ember, a serverless peer-to-peer messaging system providing end-to-end encrypted communication over a decentralised IPv6 mesh network. Ember operates without central servers, en...
Hamish Alsop, Leandros Maglaras, Naghmeh Moradpoor
Emotion-Aware Classroom Quality Assessment Leveraging IoT-Based Real-Time Student Monitoring
This study presents high-throughput, real-time multi-agent affective computing framework designed to enhance classroom learning through emotional state monitoring. As large classroom sizes and limi...
Hai Nguyen, Hieu Dao, Hung Nguyen, Nam Vu, Cong Tran
Novelty-Driven Target-Space Discovery in Automated Electron and Scanning Probe Microscopy
Modern automated microscopy faces a fundamental discovery challenge: in many systems, the most important scientific information does not reside in the immediately visible image features, but in the...
Utkarsh Pratiush, Kamyar Barakati, Boris N. Slautin, Catherine C. Bodinger, Christopher D. Lowe, ...
Design of Transit Networks: Global Optimization of Continuous Approximation Models via Geometric Programming
Continuous approximation (CA) models have been widely adopted in transit network design studies due to their strong analytical tractability and high computational efficiency. However, such models a...
Haoyang Mao, Weihua Gu, Wenbo Fan, Zhicheng Jin, Xiaokuan Zhao
A Variational Pseudo-Observation Guided Nudged Particle Filter
Nonlinear filtering with standard PF methods requires mitigative techniques to quell weight degeneracy, such as resampling. This is especially true in high-dimensional systems with sparse observati...
Theofania Karampela, Ryne Beeson
A Compact Broadband Purcell Filter for Superconducting Quantum Circuits in a 3D Flip-Chip Architecture
Fast and high-fidelity qubit readout requires strong coupling between the readout resonator and the feedline. However, such coupling unavoidably enhances qubit decay through the Purcell effect. We ...
Zhen Luo, Lea Richard, Ivan Tsitsilin, Anirban Bhattacharjee, Christian M. F. Schneider, Stefan F...
Fast-WAM: Do World Action Models Need Test-time Future Imagination?
World Action Models (WAMs) have emerged as a promising alternative to Vision-Language-Action (VLA) models for embodied control because they explicitly model how visual observations may evolve under...
Tianyuan Yuan, Zibin Dong, Yicheng Liu, Hang Zhao
Kestrel: Grounding Self-Refinement for LVLM Hallucination Mitigation
Large vision-language models (LVLMs) have become increasingly strong but remain prone to hallucinations in multimodal tasks, which significantly narrows their deployment. As training these LVLMs to...
Jiawei Mao, Hardy Chen, Haoqin Tu, Yuhan Wang, Letian Zhang, Zeyu Zheng, Huaxiu Yao, Zirui Wang, ...
A characterization of terminal planar networks by forbidden structures
The class of terminal planar networks was recently introduced from a biological perspective in relation to the visualization of phylogenetic networks, and its connection to upward planar networks h...
Haruki Miyaji, Yuki Noguchi, Hexuan Liu, Takatora Suzuki, Keita Watanabe, Taoyang Wu, Momoko Haya...
Experimental Limit on Neutron Orbital Angular Momentum Detection Using Polarized 3He
A recent proposal suggested that neutron orbital angular momentum (OAM) states could be detected via spin-polarized absorption in polarized 3He, with predicted cross-section variations linked to th...
D. Sarenac, O. Lailey, D. V. Garrad, P. R. Vadnere, N. Shentevski, C. W. Clark, D. G. Cory, J. P....
Students' reasoning in choosing measurement instruments in an introductory physics laboratory course
The aim of this study is to investigate the decisions and reasoning of undergraduate students when choosing simple measurement instruments in an introductory physics laboratory course. For this stu...
Micol Alemani, Karel Kok, Eva Philippaki
MLLM-based Textual Explanations for Face Comparison
Multimodal Large Language Models (MLLMs) have recently been proposed as a means to generate natural-language explanations for face recognition decisions. While such explanations facilitate human in...
Redwan Sony, Anil K Jain, Ross Arun
Accelerating the Particle-In-Cell code ECsim with OpenACC
The Particle-In-Cell (PIC) method is a computational technique widely used in plasma physics to model plasmas at the kinetic level. In this work, we present our effort to prepare the semi-implicit ...
Elisabetta Boella, Nitin Shukla, Filippo Spiga, Mozhgan Kabiri Chimeh, Matt Bettencourt, Maria El...
Bio-inspired metaheuristic optimization for hierarchical architecture design of industrial control systems
Automated process control systems (APCS) are widely used in modern industrial enterprises. They address three key objectives: ensuring the required quality of manufactured products, ensuring proces...
Ruslan Zakirzyanov
Testing general relativity with binary black holes: a study on the sensitivity requirements for future space-based detectors
We study the sensitivity required for a future space-based detector to search for beyond general relativity effect in gravitational wave detection. To do this, we use the current design of TianQin,...
Tangchao Zhan, Changfu Shi, Shuo Sun, Jianwei Mei
CryoCMOS RF multiplexer for superconducting qubit control, readout and flux biasing at millikelvin temperatures with picowatt power consumption
Large-scale cryogenic quantum systems are constrained by an input-output bottleneck between room-temperature electronics and millikelvin stages, particularly in superconducting qubit platforms. Thi...
Liam Fallik, Sriram Balamurali, Alican Caglar, Rohith Acharya, Jacques Van Damme, Tsvetan Ivanov,...