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AI & Data Science Preprint PDF DOI

Models Recall What They Violate: Constraint Adherence in Multi-Turn LLM Ideation

Garvin Kruthof · 2026

When researchers iteratively refine ideas with large language models, do the models preserve fidelity to the original objective? We introduce DriftBench, a benchmark for evaluating constraint adherenc…

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Physics Preprint PDF DOI

Strangeness enhancement in pp collisions from string closepacking in Pythia 8.3

Javira Altmann, Lorenzo Bernardinis, Peter Skands, Valentina Zaccolo · 2026

Measurements at LHC show an increased production of strange hadrons with charged multiplicity in pp collisions, which is not described by the Lund String Model (with the Monash tune) implemented in PY…

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AI & Data Science Preprint PDF DOI

Uni-HOI:A Unified framework for Learning the Joint distribution of Text and Human-Object Interaction

Mengfei Zhang, Jinlu Zhang, Zhigang Tu · 2026

Modeling 4D human-object interaction (HOI) is a compelling challenge in computer vision and an essential technology powering virtual and mixed-reality applications. While existing works have achieved …

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Computer Science Preprint PDF DOI

COPUS: Co-adaptive Parallelism and Batch Size Selection in Large Language Model Training

Akhmed Sakip, Erland Hilman Fuadi, Omar Sayedelahl, Zonghang Li, Jianshu She, Alham Fikri Aji, Steve Liu, Eric Xing, Qirong Ho · 2026

Training large language models requires jointly configuring two interdependent aspects of the system: the global batch size, which governs statistical efficiency, and the 3D parallelism strategy, whic…

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Computer Science Preprint PDF DOI

GMT: A Geometric Multigrid Transformer Solver for Microstructure Homogenization

Yu Xing, Yang Liu, Tianyang Xue, Lin Lu · 2026

Lattice metamaterials enable lightweight, multifunctional structures, yet homogenization-based evaluation of their effective properties remains computationally expensive. Neural surrogates offer speed…

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Engineering Preprint PDF DOI

Similarity Choice and Negative Scaling in Supervised Contrastive Learning for Deepfake Audio Detection

Jaskirat Sudan, Hashim Ali, Surya Subramani, Hafiz Malik · 2026

Supervised contrastive learning (SupCon) is widely used to shape representations, but has seen limited targeted study for audio deepfake detection. Existing work typically combines contrastive terms w…

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AI & Data Science Preprint PDF DOI

MAIC-UI: Making Interactive Courseware with Generative UI

Shangqing Tu, Yanjia Li, Keyu Chen, Sichen Zhang, Jifan Yu, Daniel Zhang-Li, Lei Hou, Juanzi Li, Yu Zhang, Huiqin Liu · 2026

Creating interactive STEM courseware traditionally requires HTML/CSS/JavaScript expertise, leaving barriers for educators. While generative AI can produce HTML codes, existing tools generate static pr…

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Computer Science Preprint PDF DOI

An Empirical Analysis of Mobile Energy Consumption Across User Configurations

Wellington Oliveira · 2026

Mobile devices have become ubiquitous tools for communication, entertainment, and productivity, yet battery autonomy remains a constraint. While energy-saving tips exist, they are often generic, anecd…

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Physics Preprint PDF DOI

Defect-Adaptive Lattice Surgery on Irregular Boundary Surface-Code Patches

GunSik Min, Yujin Kang, Jun Heo · 2026

Defect-adaptive surface-code methods have substantially advanced the construction of valid logical patches on imperfect hardware, but fault-tolerant computation also requires executable logical oper a…

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AI & Data Science Preprint PDF DOI

Evaluation without Generation: Non-Generative Assessment of Harmful Model Specialization with Applications to CSAM

Vinith M. Suriyakumar, Ayush Sekhari, Lena Stempfle, Robertson Wang, Michael Simpson, Rebecca Portnoff, Marzyeh Ghassemi, Ashia C. Wilson · 2026

Auditing the fine-tunes of open-weight generative models for harmful specialization has become a new governance challenge for model hosting platforms. The standard toolkit, generative evaluation via c…

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Computer Science Preprint PDF DOI

Supporting Belonging in Software Engineering Through Role Models Exposure

Ronnie de Souza Santos · 2026

Role models are widely discussed in educational research as influential in students identity development and sense of belonging, yet less attention has been given to how role model visibility can be s…

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Physics Preprint PDF DOI

Core Collapse Supernova Modeling: The Next Ten Years

Anthony Mezzacappa · 2026

Core collapse supernova modeling has advanced considerably since the first numerical simulations were performed sixty years ago. In particular, the last decade has brought us sophisticated three-dimen…

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Computer Science Preprint PDF DOI

Safety Drift After Fine-Tuning: Evidence from High-Stakes Domains

Emaan Bilal Khan, Amy Winecoff, Miranda Bogen, Dylan Hadfield-Menell · 2026

Foundation models are routinely fine-tuned for use in particular domains, yet safety assessments are typically conducted only on base models, implicitly assuming that safety properties persist through…

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AI & Data Science Preprint PDF DOI

Radiomics- and Clinical Feature-Driven Prediction of Volumetric Response in Skull-Base Meningioma after CyberKnife Radiosurgery

Yin Lin, Elena De Martin, Giacomo Conte, Domenico Aquino, Cristiana Pedone, Alberto Redaelli, Riccardo Barbieri, Laura Fariselli, Simona Ferrante · 2026

Skull-base meningiomas are often characterized by favorable long-term prognosis, yet their anatomical complexity and proximity to critical neurovascular structures make treatment selection challenging…

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Computer Science Preprint PDF DOI

Characterizing the Usefulness of Code Review Comments in Scientific Software for Software Quality and Scientific Rigor

Sharif Ahmed, Nasir U. Eisty · 2026

Context: Innovation thrives on scientific software, with useful code review feedback enhancing its correctness and impact. However, unlike general-purpose commercial and open-source software, the usef…

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Computer Science Preprint PDF DOI

LLM-CEG: Extending the Classification Error Gauge Framework for Privacy Auditing of Large Language Models

Kato Mivule · 2026

This paper extends the Classification Error Gauge (x-CEG) framework, originally developed for measuring the privacy-utility trade-off in tabular datasets, to privacy auditing of Large Language Models …

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AI & Data Science Preprint PDF DOI

AnemiaVision: Non-Invasive Anemia Detection via Smartphone Imagery Using EfficientNet-B3 with TrivialAugmentWide, Mixup Augmentation, and Persistent Patient History Management

Rahul Patel · 2026

Anemia affects over one billion people globally and remains severely under-diagnosed in low-resource regions where laboratory blood tests are inaccessible. This paper presents AnemiaVision, an end-to-…

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Computer Science Preprint PDF DOI

Mycoponically Integrated Network Device for Multimodal Sensing with Living Mycelial Networks

Zihan Oliver Zeng, David Marshall Porterfield, Upinder Kaur · 2026

Multimodal environmental monitoring conventionally requires a suite of purpose-built transducers, each constrained to a predefined target. Here, we present MIND (Mycoponically Integrated Network Devic…

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Chemistry Preprint PDF DOI

DeepHartree: A Poisson-Coupled Neural Field for Scalable Density Functional Theory

Jiankun Wu, Jinming Fan, Chao Qian, Shaodong Zhou · 2026

Ab initio calculations are fundamentally bottlenecked for large systems by the steep computational scaling of solving self-consistent field (SCF) equations. While machine learning offers potential acc…

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Physics Preprint PDF DOI

Influence of Ni Doping on the Structural, Morphological, Optical, and Electrical Properties of Nanocrystalline Cd1-xMnxS Thin Films

Himanshu Sharma Pathok, Padma Pani Shahu, Himanshu Kalita, Prasanta Kumar Saikia · 2026

Ni-doped Cd1-xMnxS (x=0.4) thin films were prepared via a cost-effective chemical bath deposition (CBD) method to investigate their suitability for optoelectronic applications. Incorporation of a seco…

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