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AI & Data Science Preprint PDF DOI

Collaborative Agent Reasoning Engineering (CARE): A Three-Party Design Methodology for Systematically Engineering AI Agents with Subject Matter Experts, Developers, and Helper Agents

Rahul Ramachandran, Nidhi Jha, Muthukumaran Ramasubramanian · 2026

We present Collaborative Agent Reasoning Engineering (CARE), a disciplined methodology for engineering Large Language Model (LLM) agents in scientific domains. Unlike ad-hoc trial-and-error approaches…

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Computer Science Preprint PDF DOI

D-Rex : Diffusion Rendering for Relightable Expressive Avatars

Timo Teufel, Xilong Zhou, Umar Iqbal, Jan Kautz, Marc Habermann, Vladislav Golyanik, Christian Theobalt · 2026

We present D-Rex, a person-specific framework for photorealistic, relightable, expressive, and animatable full-body human avatars with free-viewpoint rendering. Existing methods for relightable full-b…

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Physics Preprint PDF DOI

High-Girth Regular Quantum LDPC Codes from Square-Base Hypergraph Products via CPM Lifts

Koki Okada, Kenta Kasai · 2026

We study square-base Calderbank--Shor--Steane (CSS) hypergraph-product codes as a finite-length class for regular high-girth quantum low-density parity-check (LDPC) design. For base matrices of small …

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Mathematics Preprint PDF DOI

An adaptive Deep Ritz framework for second-order fully nonlinear partial differential equations

Alexandre Caboussat, Martin T. Leclercq, Anna Peruso · 2026

As an alternative to PINNs, a Deep Ritz framework is proposed to solve fully nonlinear PDEs. A least-squares algorithm is advocated to decouple the nonlinearities from the variational features of seve…

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Computer Science Preprint PDF DOI

HAVEN: Hybrid Automated Verification ENgine for UVM Testbench Synthesis with LLMs

Chang-Chih Meng, Yu-Ren Lu, Guan-Yu Lin, Tsung Tai Yeh, Kai-Chiang Wu, I-Chen Wu · 2026

Integrated Circuit (IC) verification consumes nearly 70% of the IC development cycle, and recent research leverages Large Language Models (LLMs) to automatically generate testbenches and reduce verifi…

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AI & Data Science Preprint PDF DOI

SIEVES: Selective Prediction Generalizes through Visual Evidence Scoring

Hector G. Rodriguez, Marcus Rohrbach · 2026

Multimodal large language models (MLLMs) achieve ever-stronger performance on visual-language tasks. Even as traditional visual question answering benchmarks approach saturation, reliable deployment r…

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Earth & Environmental Sciences Preprint PDF DOI

Evaluating local climate in global storm-resolving models with the K\"oppen-Geiger classification

Chiel C. van Heerwaarden, Menno A. Veerman, Imme Benedict, Lukas Brunner, Edgar Dolores-Tesillos, Emanuel Dutra, Erich Fischer, Junhong Lee, Olivia Martius, Xabier Pedruzo-Bagazgoitia, Ulrike Proske, Sarah N. Warnau, Jonathan D. Willie, Cathy Hohenegger · 2026

Global storm-resolving models aspire to become digital twins of the Earth, delivering information at the local scale at which humans experience climate. We evaluated how well two such models, ICON and…

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AI & Data Science Preprint PDF DOI

Agentic Architect: An Agentic AI Framework for Architecture Design Exploration and Optimization

Alexander Blasberg, Vasilis Kypriotis, Dimitrios Skarlatos · 2026

Rapid advances in Large Language Models (LLMs) create new opportunities by enabling efficient exploration of broad, complex design spaces. This is particularly valuable in computer architecture, where…

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AI & Data Science Preprint PDF DOI

Learning Illumination Control in Diffusion Models

Nishit Anand, Manan Suri, Christopher Metzler, Dinesh Manocha, Ramani Duraiswami · 2026

Controlling illumination in images is essential for photography and visual content creation. While closed-source models have demonstrated impressive illumination control, open-source alternatives eith…

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AI & Data Science Preprint PDF DOI

ESICA: A Scalable Framework for Text-Guided 3D Medical Image Segmentation

Yu Xin, Gorkem Can Ates, Jun Ma, Sumin Kim, Ying Zhang, Kaleb E Smith, Kuang Gong, Wei Shao · 2026

Text guided 3D medical image segmentation offers a flexible alternative to class based and spatial prompt based models by allowing users to specify regions of interest directly in natural language. Th…

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Physics Preprint PDF DOI

Mass-Transfer Control With Microbubbles in Highly Turbulent Decaying Flows

Vivek Kumar, Prasoon Suchandra, Jason Rom, Shivam Prajapati, Suhas Jain, Cyrus Aidun · 2026

We hypothesize that combining extreme turbulence with a minute reduction in surface tension $\sigma$ (surface tension of the liquid) using surfactant provides a simple and scalable route for controlli…

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AI & Data Science Preprint PDF DOI

Seeing Is No Longer Believing: Frontier Image Generation Models, Synthetic Visual Evidence, and Real-World Risk

Shuai Wu, Xue Li, Yanna Feng, Yufang Li, Zhijun Wang, Ran Wang · 2026

Frontier image generation has moved from artistic synthesis toward synthetic visual evidence. Systems such as GPT Image 2, Nano Banana Pro, Nano Banana 2, Grok Imagine, Qwen Image 2.0 Pro, and Seedrea…

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AI & Data Science Preprint PDF DOI

Mammographic Lesion Segmentation with Lightweight Models: A Comparative Study

Helder Oliveira · 2026

Breast cancer is a leading cause of cancer-related mortality among women worldwide, with mammography as the primary screening tool. While deep learning models have shown strong performance in lesion s…

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AI & Data Science Preprint PDF DOI

MarketBench: Evaluating AI Agents as Market Participants

Andrey Fradkin, Rohit Krishnan · 2026

Markets are a promising way to coordinate AI agent activity for similar reasons to those used to justify markets more broadly. In order to effectively participate in markets, agents need to have infor…

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AI & Data Science Preprint PDF DOI

Reading in the Dark: Low-light Scene Text Recognition

Xuanshuo Fu, Lei Kang, Ernest Valveny, Dimosthenis Karatzas, Javier Vazquez-Corral · 2026

Accurate text recognition in low-light environments is essential for intelligent systems in applications ranging from autonomous vehicles to smart surveillance. However, challenges such as poor illumi…

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Computer Science Preprint PDF DOI

Evaluating Jailbreaking Vulnerabilities in LLMs Deployed as Assistants for Smart Grid Operations: A Benchmark Against NERC Standards

Taha Hammadia, Lucas Rea, Ahmad Mohammad Saber, Amr Youssef, Deepa Kundur · 2026

The deployment of Large Language Models (LLMs) as assistants in electric grid operations promises to streamline compliance and decision-making but exposes new vulnerabilities to prompt-based adversari…

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AI & Data Science Preprint PDF DOI

h-MINT: Modeling Pocket-Ligand Binding with Hierarchical Molecular Interaction Network

Yanru Qu, Yijie Zhang, Wenjuan Tan, Xiangzhe Kong, Xiangxin Zhou, Chaoran Cheng, Mathieu Blanchette, Jiaxuan You, Ge Liu · 2026

Accurate molecular representations are critical for drug discovery, and a central challenge lies in capturing the chemical environment of molecular fragments, as key interactions, such as H-bond and {…

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AI & Data Science Preprint PDF DOI

ContextWeaver: Selective and Dependency-Structured Memory Construction for LLM Agents

Yating Wu, Yuhao Zhang, Sayan Ghosh, Sourya Basu, Anoop Deoras, Jun Huan, Gaurav Gupta · 2026

Large language model (LLM) agents often struggle in long-context interactions. As the agent accumulates more interaction history, context management approaches such as sliding window and prompt compre…

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Mathematics Preprint PDF DOI

Straight polyomino tilings of rectangles and special rim-hook tableaux

Mudit Aggarwal, Hrishik Koley, Samrith Ram · 2026

We derive explicit rational generating functions for weighted tilings of $2k\times n$ rectangles by straight $k\times 1$ tiles. Our approach combines a decomposition by fault lines with a Hadamard-pro…

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AI & Data Science Preprint PDF DOI

From Codebooks to VLMs: Evaluating Automated Visual Discourse Analysis for Climate Change on Social Media

Katharina Prasse, Steffen Jung, Isaac Bravo, Stefanie Walter, Patrick Knab, Christian Bartelt, Margret Keuper · 2026

Social media platforms have become primary arenas for climate communication, generating millions of images and posts that - if systematically analysed - can reveal which communication strategies mobil…

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