Papers
Research papers from arXiv and related sources
Developing and evaluating a chatbot to support maternal health care
The ability to provide trustworthy maternal health information using phone-based chatbots can have a significant impact, particularly in low-resource settings where users have low health literacy a...
Smriti Jha, Vidhi Jain, Jianyu Xu, Grace Liu, Sowmya Ramesh, Jitender Nagpal, Gretchen Chapman, B...
When Your Model Stops Working: Anytime-Valid Calibration Monitoring
Practitioners monitoring deployed probabilistic models face a fundamental trap: any fixed-sample test applied repeatedly over an unbounded stream will eventually raise a false alarm, even when the ...
Tristan Farran
ESG-Bench: Benchmarking Long-Context ESG Reports for Hallucination Mitigation
As corporate responsibility increasingly incorporates environmental, social, and governance (ESG) criteria, ESG reporting is becoming a legal requirement in many regions and a key channel for docum...
Siqi Sun, Ben Peng Wu, Mali Jin, Peizhen Bai, Hanpei Zhang, Xingyi Song
Euclid preparation. Simulated galaxy catalogues for non-standard cosmological models
Stage-IV galaxy surveys will provide the opportunity to test cosmological models and the underlying theory of gravity with unparalleled precision. In this context, it is crucial for the Euclid miss...
Euclid Collaboration, M. -A. Breton, P. Fosalba, S. Avila, M. Baldi, C. Carbone, M. Kärcher, G. ...
CP Violation in $B_{(s)}\toφK$ Decays: Standard Model Benchmarks and Isospin-Breaking New Physics
The penguin loop-suppressed $B\toφK$ decays are highly sensitive to contributions of hypothetical heavy new particles. Particularly interesting probes for testing the Standard Model and revealing s...
Robert Fleischer, Jelle Groot, K. Keri Vos
Unifying Decision Making and Trajectory Planning in Automated Driving through Time-Varying Potential Fields
This paper proposes a unified decision making and local trajectory planning framework based on Time-Varying Artificial Potential Fields (TVAPFs). The TVAPF explicitly models the predicted motion vi...
David Costa, Francesco Cerrito, Massimo Canale, Carlo Novara
Steve-Evolving: Open-World Embodied Self-Evolution via Fine-Grained Diagnosis and Dual-Track Knowledge Distillation
Open-world embodied agents must solve long-horizon tasks where the main bottleneck is not single-step planning quality but how interaction experience is organized and evolved. To this end, we prese...
Zhengwei Xie, Zhisheng Chen, Ziyan Weng, Tingyu Wu, Chenglong Li, Vireo Zhang, Kun Wang
Developing the PsyCogMetrics AI Lab to Evaluate Large Language Models and Advance Cognitive Science -- A Three-Cycle Action Design Science Study
This study presents the development of the PsyCogMetrics AI Lab (psycogmetrics.ai), an integrated, cloud-based platform that operationalizes psychometric and cognitive-science methodologies for Lar...
Zhiye Jin, Yibai Li, K. D. Joshi, Xuefei, Deng, Xiaobing, Li
Memory Printer: Exploring Everyday Reminiscing by Combining Slow Design with Generative AI-based Image Creation
Generative Artificial Intelligence (GAI) offers new opportunities for reconstructing these unrecorded memory scenes, yet existing web-based tools undermine users' sense of agency through disengagin...
Zhou Fang, Janet Yi-Ching Huang
AgentRM: An OS-Inspired Resource Manager for LLM Agent Systems
Large Language Model (LLM) agent systems have experienced rapid adoption across diverse domains, yet they suffer from critical user experience problems that limit their practical deployment. Throug...
Jianshu She
The elusive cyclotron line in 4U 1901+03: hidden, yet present
Context. Cyclotron resonant scattering features (CRSFs) in accreting X-ray pulsars are often difficult to detect, especially when shallow or variable. Recent studies have shown that combining spect...
Elena Ambrosi, Antonino D' Aì, Giancarlo Cusumano, Carlo Ferrigno, Ekaterina Sokolova-Lapa, Dimit...
Ridged Lagrangian Perturbation Theory (RLPT)
Galaxy surveys demand fast large-scale structure forward models that preserve large-scale phases while providing realistic nonlinear morphology at fixed force resolution. Single-step Lagrangian Per...
Francisco-Shu Kitaura, Francesco Sinigaglia
SldprtNet: A Large-Scale Multimodal Dataset for CAD Generation in Language-Driven 3D Design
We introduce SldprtNet, a large-scale dataset comprising over 242,000 industrial parts, designed for semantic-driven CAD modeling, geometric deep learning, and the training and fine-tuning of multi...
Ruogu Li, Sikai Li, Yao Mu, Mingyu Ding
Breaking the Tuning Barrier: Zero-Hyperparameters Yield Multi-Corner Analysis Via Learned Priors
Yield Multi-Corner Analysis validates circuits across 25+ Process-Voltage-Temperature corners, resulting in a combinatorial simulation cost of $O(K \times N)$ where $K$ denotes corners and $N$ exce...
Wei W. Xing, Kaiqi Huang, Jiazhan Liu, Hong Qiu, Shan Shen
Human-in-the-Loop LLM Grading for Handwritten Mathematics Assessments
Providing timely and individualised feedback on handwritten student work is highly beneficial for learning but difficult to achieve at scale. This challenge has become more pressing as generative A...
Arne Vanhoyweghen, Vincent Holst, Melika Mobini, Lukas Van de Voorde, Tibo Vanleke, Bert Verbrugg...
exoALMA. XXIV. Formaldehyde Emission in Protoplanetary Disks of exoALMA Compared with Their Properties and Dynamical State
The presence of asymmetries and substructures in protoplanetary disks, revealed by both dust and gas emission, highlights the potential interplay and the broader connection between chemistry and dy...
Felipe Alarcón, Stefano Facchini, Leon Trapman, Pietro Curone, Luna Rampinelli, Sean M. Andrews, ...
Rooftop Wind Field Reconstruction Using Sparse Sensors: From Deterministic to Generative Learning Methods
Real-time rooftop wind-speed distribution is important for the safe operation of drones and urban air mobility systems, wind control systems, and rooftop utilization. However, rooftop flows show st...
Yihang Zhou, Chao Lin, Hideki Kikumoto, Ryozo Ooka, Sibo Cheng
IceCube Search for MeV Neutrinos from Mergers using Gravitational Wave Catalogs
We report on a search using the IceCube Neutrino Observatory for MeV neutrinos from compact binary mergers detected through gravitational waves during the LIGO-Virgo-KAGRA (LVK) O1, O2, and O3 obse...
Nora Valtonen-Mattila
The weight two and opposite sign cases for the Fourier relative trace formulas
We provide an adelic relative trace formula proof to the Petersson/Bruggeman-Kuznetsov (PBK) formulas, specifically in the holomorphic case for $κ=2$ and the non-holomorphic case for $m_1m_2<0$. Gi...
Matteo Di Scipio
Causal Cellular Context Transfer Learning (C3TL): An Efficient Architecture for Prediction of Unseen Perturbation Effects
Predicting the effects of chemical and genetic perturbations on quantitative cell states is a central challenge in computational biology, molecular medicine and drug discovery. Recent work has leve...
Michael Scholkemper, Sach Mukherjee