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AI & Data Science Preprint PDF DOI

Representation Fr\'echet Loss for Visual Generation

Jiawei Yang, Zhengyang Geng, Xuan Ju, Yonglong Tian, Yue Wang ยท 2026

We show that Fr\'echet Distance (FD), long considered impractical as a training objective, can in fact be effectively optimized in the representation space. Our idea is simple: decouple the populationโ€ฆ

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Physics Preprint PDF DOI

Domain-wall melting in all-to-all QSSEP from random-matrix theory

Denis Bernard, Lorenzo Piroli, Stefano Scopa ยท 2026

We study the melting of a domain wall in the quantum simple exclusion process with all-to-all hoppings (a.k.a. the charged SYK$_2$ model). We show that the real-time dynamics of physical quantities ofโ€ฆ

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AI & Data Science Preprint PDF DOI

Auto-FlexSwitch: Efficient Dynamic Model Merging via Learnable Task Vector Compression

Junqi Gao, Dazhi Zhang, Zhichang Guo, Biqing Qi, Yi Ran, Wangmeng Zuo ยท 2026

Model merging has attracted attention as an effective path toward multi-task adaptation by integrating knowledge from multiple task-specific models. Among existing approaches, dynamic merging mitigateโ€ฆ

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Physics Preprint PDF DOI

Mixture-aware closure of the N-phase Navier--Stokes--Cahn--Hilliard mixture model

M.F.P. ten Eikelder, A. Brunk ยท 2026

Diffuse-interface (phase-field) models are widely used to describe multiphase mixtures and their interfacial dynamics. In multiphase settings, however, the constitutive closure should remain meaningfuโ€ฆ

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AI & Data Science Preprint PDF DOI

ClimateVID -- Social Media Videos Analysis and Challenges Involved

Shiqi Xu, Moritz Burmester, Katharina Prasse, Isaac Bravo, Stefanie Walter, Margret Keuper ยท 2026

The pervasive growth of digital content, specifically short videos on social media platforms, has significantly altered how topics are discussed and understood in public discourse. In this work, we adโ€ฆ

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AI & Data Science Preprint PDF DOI

LLMs as ASP Programmers: Self-Correction Enables Task-Agnostic Nonmonotonic Reasoning

Adam Ishay, Joohyung Lee ยท 2026

Recent large language models (LLMs) have achieved impressive reasoning milestones but continue to struggle with high computational costs, logical inconsistencies, and sharp performance degradation on โ€ฆ

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Mathematics Preprint PDF DOI

Stein's square function associated with the Bochner-Riesz means on M\'etivier groups and its applications

Joydwip Singh ยท 2026

In this paper, we study the $L^p$-boundedness of Stein's square function $\mathfrak{S}^{\alpha}(\mathcal{L})$ associated with the sub-Laplacian $\mathcal{L}$ on M\'etivier group $G$. A key aspect of oโ€ฆ

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Computer Science Preprint PDF DOI

Semidefinite and linear programming bounds for sum-rank-metric codes and non-existence results

Aida Abiad, Antonina P. Khramova, Sven C. Polak, Ferdinando Zullo ยท 2026

The sum-rank metric provides a unifying framework that generalizes both the celebrated Hamming and rank metrics, and has found applications in areas such as network coding, distributed storage, and spโ€ฆ

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AI & Data Science Preprint PDF DOI

Graph World Models: Concepts, Taxonomy, and Future Directions

Jiawei Liu, Senqiao Yang, Mingjun Wang, Yu Wang, Bei Yu ยท 2026

As one of the mainstream models of artificial intelligence, world models allow agents to learn the representation of the environment for efficient prediction and planning. However, classical world modโ€ฆ

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Physics Preprint PDF DOI

Unentangled stoquastic Merlin-Arthur proof systems: the power of unentanglement without destructive interference

Yupan Liu, Pei Wu ยท 2026

Stoquasticity, originating in sign-problem-free physical systems, gives rise to $\sf StoqMA$, introduced by Bravyi, Bessen, and Terhal (2006), a quantum-inspired intermediate class between $\sf MA$ anโ€ฆ

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Computer Science Preprint PDF DOI

AI Inference as Relocatable Electricity Demand: A Latency-Constrained Energy-Geography Framework

Xubin Luo, Yang Cheng ยท 2026

AI inference is becoming a persistent and geographically distributed source of electricity demand. Unlike many traditional electrical loads, inference workloads can sometimes be executed away from theโ€ฆ

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Computer Science Preprint PDF DOI

Test Before You Deploy: Governing Updates in the LLM Supply Chain

Mohd Sameen Chishti, Damilare Peter Oyinloye, Jingyue Li ยท 2026

Large Language Models (LLMs) are increasingly used as core dependencies in software systems. However, the hosted LLM services evolve continuously through provider-side updates without explicit versionโ€ฆ

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AI & Data Science Preprint PDF DOI

Instruction-Guided Poetry Generation in Arabic and Its Dialects

Abdelrahman Sadallah, Kareem Elozeiri, Mervat Abassy, Rania Elbadry, Mohamed Anwar, Abed Alhakim Freihat, Preslav Nakov, Fajri Koto ยท 2026

Poetry has long been a central art form for Arabic speakers, serving as a powerful medium of expression and cultural identity. While modern Arabic speakers continue to value poetry, existing research โ€ฆ

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Mathematics Preprint PDF DOI

Harmonic Gauge on the Space of Riemannian Metrics and Its Role in the Ricci-DeTurck Flow

Stepanov Sergey ยท 2026

We develop a harmonic gauge on the space of Riemannian metrics and study its role in the variational and flow-theoretic structure of geometric analysis. We prove that the harmonic gauge eliminates divโ€ฆ

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AI & Data Science Preprint PDF DOI

WaferSAGE: Large Language Model-Powered Wafer Defect Analysis via Synthetic Data Generation and Rubric-Guided Reinforcement Learning

Ke Xu ยท 2026

We present WaferSAGE, a framework for wafer defect visual question answering using small vision-language models. To address data scarcity in semiconductor manufacturing, we propose a three-stage synthโ€ฆ

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AI & Data Science Preprint PDF DOI

SECOS: Semantic Capture for Rigorous Classification in Open-World Semi-Supervised Learning

Hezhao Liu, Jiacheng Yang, Junlong Gao, Mengke Li, Yiqun Zhang, Shreyank N Gowda, Yang Lu ยท 2026

In open-world semi-supervised learning (OWSSL), a model learns from labeled data and unlabeled data containing both known and novel classes. In practical OWSSL applications, models are expected to perโ€ฆ

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AI & Data Science Preprint PDF DOI

RIHA: Report-Image Hierarchical Alignment for Radiology Report Generation

Yucheng Chen, Yang Yu, Yufei Shi, Conghao Xiong, Xulei Yang, Si Yong Yeo ยท 2026

Radiology report generation (RRG) has emerged as a promising approach to alleviate radiologists' workload and reduce human errors by automatically generating diagnostic reports from medical images. A โ€ฆ

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AI & Data Science Preprint PDF DOI

HATS: An Open data set Integrating Human Perception Applied to the Evaluation of Automatic Speech Recognition Metrics

Thibault Baneras Roux, Jane Wottawa, Mickael Rouvier, Teva Merlin, Richard Dufour ยท 2026

Conventionally, Automatic Speech Recognition (ASR) systems are evaluated on their ability to correctly recognize each word contained in a speech signal. In this context, the word error rate (WER) metrโ€ฆ

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AI & Data Science Preprint PDF DOI

Qualitative Evaluation of Language Model Rescoring in Automatic Speech Recognition

Thibault Baneras-Roux, Mickael Rouvier, Jane Wottawa, Richard Dufour ยท 2026

Evaluating automatic speech recognition (ASR) systems is a classical but difficult and still open problem, which often boils down to focusing only on the word error rate (WER). However, this metric suโ€ฆ

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AI & Data Science Preprint PDF DOI

REVIVE 3D: Refinement via Encoded Voluminous Inflated prior for Volume Enhancement

Hankyeol Lee, Wooyeol Baek, Seongdo Kim, Jongyoo Kim ยท 2026

Recent generative models have shown strong performance in generating diverse 3D assets from 2D images, a fundamental research topic in computer vision and graphics. However, these models still strugglโ€ฆ

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