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Computer Science Preprint PDF DOI

Exploring the Efficiency of 3D-Stacked AI Chip Architecture for LLM Inference with Voxel

Yiqi Liu, Noelle Crawford, Michael Wang, Jilong Xue, Jian Huang · 2026

To overcome the well-known memory bottleneck of AI chips, 3D stacked architectures that employ advanced packaging technology with high-density through-silicon vias (TSVs) pins have proven to be a prom…

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AI & Data Science Preprint PDF DOI

Improving Robustness of Tabular Retrieval via Representational Stability

Kushal Raj Bhandari, Adarsh Singh, Jianxi Gao, Soham Dan, Vivek Gupta · 2026

Transformer-based table retrieval systems flatten structured tables into token sequences, making retrieval sensitive to the choice of serialization even when table semantics remain unchanged. We show …

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AI & Data Science Preprint PDF DOI

Caries DETR: Tooth Structure-aware Prior and Lesion-aware Dynamic Loss Refinement for DETR Based Caries Detection

Xuefen Liu, Xinquan Yang, Mianjie Zheng, Kun Tang, Xuguang Li, Xiaoqi Guo, Linlin Shen, He Meng · 2026

As dental caries appear as subtle, low-contrast lesions in intraoral imaging, existing deep learning models face significant challenges in the early detection of caries. While recent Transformer-based…

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Mathematics Preprint PDF DOI

Stable Mesh-Free Variational Radial Basis Function Approximation for Elliptic PDEs and Obstacle Problems

Tan Phuong Dong Le, Giang Tran, Hans De Sterck · 2026

We present a comprehensive study of radial basis function (RBF) approximations for elliptic and obstacle-type boundary value problems under a variational formulation. Our focus is on practical accurac…

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AI & Data Science Preprint PDF DOI

Crowded in B-Space: Calibrating Shared Directions for LoRA Merging

Yixuan Tang, Yi Yang · 2026

Merging separately trained LoRA adapters is a practical alternative to joint multi-task training, but it often hurts performance. Existing methods usually treat the LoRA update $\Delta W = BA$ as a si…

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AI & Data Science Preprint PDF DOI

Evacuation destination choices during Hurricane Ian: A direct demand modeling approach

Alessandra Recalde, Luyu Liu, Xiaojian Zhang, Sangung Park, Shangkun Jiang, Xilei Zhao · 2026

Hurricanes are causing unprecedented damage to the natural environment, infrastructure, and communities. Understanding evacuation behavior is essential for improving emergency preparedness. Past studi…

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Computer Science Preprint PDF DOI

A Synonymous Variational Perspective on the Rate-Distortion-Perception Tradeoff

Zijian Liang, Kai Niu, Changshuo Wang, Jin Xu, Ping Zhang · 2026

The fundamental limit of natural signal compression has traditionally been characterized by classical rate-distortion (RD) theory through the tradeoff between coding rate and reconstruction distortion…

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AI & Data Science Preprint PDF DOI

SatBLIP: Context Understanding and Feature Identification from Satellite Imagery with Vision-Language Learning

Xue Wu, Shengting Cao, Shenglin Li, Jiaqi Gong · 2026

Rural environmental risks are shaped by place-based conditions (e.g., housing quality, road access, land-surface patterns), yet standard vulnerability indices are coarse and provide limited insight in…

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AI & Data Science Preprint PDF DOI

Provably Efficient Offline-to-Online Value Adaptation with General Function Approximation

Shangzhe Li, Weitong Zhang · 2026

We study value adaptation in offline-to-online reinforcement learning under general function approximation. Starting from an imperfect offline pretrained $Q$-function, the learner aims to adapt it to …

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Computer Science Preprint PDF DOI

AI Coding Agents Need Better Compiler Remarks

Akash Deo, Simone Campanoni, Tommy McMichen · 2026

Modern AI agents optimize programs by refactoring source code to trigger trusted compiler transformations. This preserves program semantics and reduces source code pollution, making the program easier…

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Computer Science Preprint PDF DOI

Diagnosing Urban Street Vitality via a Visual-Semantic and Spatiotemporal Framework for Street-Level Economics

Xinxin Zhuo, Mengyuan Niu, Ruizhe Wang, Junyan Yang, Qiao Wang · 2026

Micro-scale street-level economic assessment is fundamental for precision spatial resource allocation. While Street View Imagery (SVI) advances urban sensing, existing approaches remain semantically s…

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Physics Preprint PDF DOI

Entropic crystallization of geometrically frustrated magnets on 1/1 approximant Tsai-type quasicrystal

Oscar Novat, Ludovic D. C. Jaubert, Masafumi Udagawa · 2026

We have studied the antiferromagnetic Ising model on the icosahedral bcc lattice, as a model system of 1/1 approximant Tsai-type quasicrystals. We addressed thermal equilibrium properties of this syst…

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AI & Data Science Preprint PDF DOI

From Physics to Surrogate Intelligence: A Unified Electro-Thermo-Optimization Framework for TSV Networks

Mohamed Gharib, Leonid Popryho, Inna Partin-Vaisband · 2026

High-density through-substrate vias (TSVs) enable 2.5D/3D heterogeneous integration but introduce significant signal-integrity and thermal-reliability challenges due to electrical coupling, insertion …

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Economics & Finance Preprint PDF DOI

From Volatility to Variance: A Skew-Enhanced SABR Model and Its Empirical Study in the Chinese Financial Options Market

Wenxuan Zhang, Zhouchi Lin, Benzhuo Lu · 2026

Accurately characterizing the implied volatility curves is a central challenge in option pricing and risk management. The classical SABR model by Hagan et al. has been widely adopted in practice due t…

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AI & Data Science Preprint PDF DOI

The role of spatial context and multitask learning in the detection of organic and conventional farming systems based on Sentinel-2 time series

Jan Hemmerling, Marcel Schwieder, Philippe Rufin, Leon-Friedrich Thomas, Mirela Tulbure, Patrick Hostert, Stefan Erasmi · 2026

Organic farming is a key element in achieving more sustainable agriculture. For a better understanding of the development and impact of organic farming, comprehensive, spatially explicit information i…

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Economics & Finance Preprint PDF DOI

Discovering parametrizations of implied volatility with symbolic regression

Martin Keller-Ressel, Hannes Nikulski · 2026

We investigate the data-driven discovery of parametric representations for implied volatility slices. Using symbolic regression, we search for simple analytic formulas that approximate the total impli…

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Computer Science Preprint PDF DOI

The Bilateral Efficiency of Ethernet: Recalibrating Metcalfe and Boggs After Fifty Years

Paul Borrill · 2026

In July 1976, Metcalfe and Boggs published their foundational paper on Ethernet in Communications of the ACM. Their efficiency model -- E = (P/C)/(P/C + W*T) -- measures the fraction of Ether time car…

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AI & Data Science Preprint PDF DOI

Interpretability without actionability: mechanistic methods cannot correct language model errors despite near-perfect internal representations

Sanjay Basu, Sadiq Y. Patel, Parth Sheth, Bhairavi Muralidharan, Namrata Elamaran, Aakriti Kinra, John Morgan, Rajaie Batniji · 2026

Language models encode task-relevant knowledge in internal representations that far exceeds their output performance, but whether mechanistic interpretability methods can bridge this knowledge-action …

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Mathematics Preprint PDF DOI

High-precision quadrature via local Fourier extension: analytic integration, uniform sampling, and correction for piecewise smooth integrands

Xinran Liu, Zhenyu Zhao, Benxue Gong · 2026

We propose a high-precision numerical quadrature framework based on local Fourier extension (LFE) approximations. The method constructs, on each subinterval, a truncated-SVD stabilized local Fourier c…

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Mathematics Preprint PDF DOI

An accelerated direct solver for scalar wave scattering by multiple transmissive inclusions in two dimensions

Yasuhiro Matsumoto · 2026

This paper discusses a fast direct solver using boundary integral equations for Helmholtz transmission problems involving multiple inclusions in two dimensions. Efficiently addressing scattering probl…

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