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AI & Data Science Preprint PDF DOI

Debiasing Reward Models via Causally Motivated Inference-Time Intervention

Kazutoshi Shinoda, Kosuke Nishida, Kyosuke Nishida · 2026

Reward models (RMs) play a central role in aligning large language models (LLMs) with human preferences. However, RMs are often sensitive to spurious features such as response length. Existing inferen…

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AI & Data Science Preprint PDF DOI

Compliance versus Sensibility: On the Reasoning Controllability in Large Language Models

Xingwei Tan, Marco Valentino, Mahmud Elahi Akhter, Yuxiang Zhou, Maria Liakata, Nikolaos Aletras · 2026

Large Language Models (LLMs) are known to acquire reasoning capabilities through shared inference patterns in pre-training data, which are further elicited via Chain-of-Thought (CoT) practices. Howeve…

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Physics Preprint PDF DOI

Quantum Complexity and New Directions in Nuclear Physics and High-Energy Physics Phenomenology

Caroline E. P. Robin, Martin J. Savage · 2026

Advances in quantum information science (QIS) are providing transformative insights into the complexity of quantum many-body systems, potentially defining new frontiers in nuclear and high-energy phys…

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Computer Science Preprint PDF DOI

Efficient, VRAM-Constrained xLM Inference on Clients

Aditya Ukarande, Deep Shekhar, Marc Blackstein, Ram Rangan · 2026

To usher in the next round of client AI innovation, there is an urgent need to enable efficient, lossless inference of high-accuracy large language models (LLMs) and vision language models (VLMs), joi…

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AI & Data Science Preprint PDF DOI

Folding Tensor and Sequence Parallelism for Memory-Efficient Transformer Training & Inference

Vasu Shyam, Anna Golubeva, Quentin Anthony · 2026

We present tensor and sequence parallelism (TSP), a parallel execution strategy that folds tensor parallelism and sequence parallelism onto a single device axis. In conventional multi-dimensional para…

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Physics Preprint PDF DOI

Dispersion of Anyon Bloch Bands

Kishore Iyer, Andreas Feuerpfeil, Valentin Crepel, Nicolas Regnault, Christophe Mora · 2026

Fractional Chern insulators (FCIs) are zero magnetic field analogs of fractional quantum Hall states. While the electrons forming an FCI are not subject to an external magnetic field, their anyonic ex…

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Physics Preprint PDF DOI

Numerical Investigation of Elastically-Mounted tandem Cylinders using an ALE Runge-Kutta Discontinuous Galerkin method

Alexios Papadimitriou, Spyridon Zafeiris, George Papadakis · 2026

This work presents a high-order Arbitrary-Lagrangian-Eulerian (ALE) Discontinuous Galerkin framework for simulating multi-body Vortex-Induced Vibrations. The ALE formulation extends a Runge-Kutta Inte…

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Computer Science Preprint PDF DOI

Scalable and Verifiable Federated Learning for Cross-Institution Financial Fraud Detection

Prajwal Panth, Nishant Nigam · 2026

The global financial ecosystem confronts a critical asymmetry: while fraud syndicates operate as borderless, distributed networks, banking institutions remain constrained by regulatory data silos, lim…

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Medicine & Health Preprint PDF DOI

Visualising Parker Weighting in Short-Scan Cone-Beam Micro-CT: A Practical Reference

Falk L Wiegmann, Nancy L Ford · 2026

Short-scan FDK reconstruction is widely used in preclinical cone-beam micro-CT because it reduces scan time and radiation dose, and because the large volume sizes typical of micro-CT make iterative me…

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Physics Preprint PDF DOI

Impact of the formation angle on the drag of bio-inspired $\pmb \vee$-formations

Prasoon Suchandra, Shabnam Raayai-Ardakani · 2026

Bio-inspired $\pmb \vee$ flight formation is a well known technique for energy saving among groups of fixed-wing aircraft, and as of recently, for groups of quad-rotors. Here, we study the effect of t…

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AI & Data Science Preprint PDF DOI

Beyond Land Surface Temperature: Explainable Spatial Machine Learning Reveals Urban Morphology Effects on Human-Centric Heat Stress

Yuan Wang, Shengao Yi, Xiaojiang Li, Pengyuan Liu, Zhiwei Yang, Ronita Bardhan, Rudi Stouffs · 2026

Heat exposure connects the built environment and public health, directly shaping the livability and sustainability of urban areas. Understanding the spatial heterogeneity of heat exposure and its driv…

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AI & Data Science Preprint PDF DOI

Soft Anisotropic Diagrams for Differentiable Image Representation

Laki Iinbor, Zhiyang Dou, Wojciech Matusik · 2026

We introduce Soft Anisotropic Diagrams (SAD), an explicit and differentiable image representation parameterized by a set of adaptive sites in the image plane. In SAD, each site specifies an anisotropi…

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Computer Science Preprint PDF DOI

Equinox: Decentralized Scheduling for Hardware-Aware Orbital Intelligence

Ansel Kaplan Erol, Divya Mahajan · 2026

Earth-observation satellites are emerging as distributed edge platforms for time-critical tasks, yet orbital scheduling remains challenged by intermittent energy harvesting and temporal coupling where…

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Computer Science Preprint PDF DOI

Dual-Guard: Dual-Channel Latent Watermarking for Provenance and Tamper Localization in Diffusion Images

JinFeng Xie, Chengfu Ou, Peipeng Yu, Xiaoyu Zhou, Dingding Huang, Jianwei Fei, Zixuan Shen, Zhihua Xia · 2026

The rapid adoption of diffusion-based generative models has intensified concerns over the attribution and integrity of AI-generated content (AIGC). Existing single-domain watermarking methods either f…

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Mathematics Preprint PDF DOI

Capacity Expansion Planning for Puerto Rico's Electric Power System

Elizabeth Glista, Tomas Valencia Zuluaga, Amelia Musselman, Minda Monteagudo, Juliette Franzman, Jean-Paul Watson · 2026

This study presents a mathematical optimization framework and preliminary analysis for long-term investment planning in Puerto Rico's electric power system. We develop a high-resolution capacity expan…

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Physics Preprint PDF DOI

Synthetic Seismograms from Particle Bed Interactions and Turbulent River Flow: Modeling and Comparison with Observations

Sara Nicoletti, Giacomo Belli, Omar Morandi, Emanuele Marchetti · 2026

We present a physics based numerical model that estimates the seismic radiation generated by water sediment flows in gravel-bed rivers. The model reproduces the trajectories of individual particles, e…

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Computer Science Preprint PDF DOI

Enabling AI ASICs for Zero Knowledge Proof

Jianming Tong, Jingtian Dang, Simon Langowski, Tianhao Huang, Asra Ali, Jeremy Kun, Jevin Jiang, Srinivas Devadas, Tushar Krishna · 2026

Zero-knowledge proof (ZKP) provers remain costly because multi-scalar multiplication (MSM) and number-theoretic transforms (NTTs) dominate runtime as they need significant computation. AI ASICs such a…

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Physics Preprint PDF DOI

Shedding New Light on the ${B \to \pi K}$ Puzzle

Eleftheria Malami · 2026

The $B \to \pi K$ system provides a rich laboratory for testing the Standard Model and studying CP violation. A particularly important channel is $B^0_d\to\pi^0 K_{\rm S}$, the only mode exhibiting bo…

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AI & Data Science Preprint PDF DOI

DEM Refinement and Validation on the Lunar Surface Using Shape-from-Shading with Chandrayaan-2 OHRC Imagery

Aaranay Aadi, Jai Gopal Singla, Nitant Dube · 2026

This study presents a Shape from Shading (SfS) framework to enhance sub-metre resolution lunar digital elevation models (DEMs) using imagery from the Orbiter High Resolution Camera (OHRC) aboard Chand…

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AI & Data Science Preprint PDF DOI

SPS: Steering Probability Squeezing for Better Exploration in Reinforcement Learning for Large Language Models

Yifu Huo, Chenglong Wang, Ziming Zhu, Shunjie Xing, Peinan Feng, Tongran Liu, Qiaozhi He, Tianhua Zhou, Xiaojia Chang, Jingbo Zhu, Zhengtao Yu, Tong Xiao · 2026

Reinforcement learning (RL) has emerged as a promising paradigm for training reasoning-oriented models by leveraging rule-based reward signals. However, RL training typically tends to improve single-s…

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