Tootfinder

Text Adversarial Attacks with Dynamic Outputs
Wenqiang Wang, Siyuan Liang, Xiao Yan, Xiaochun Cao
https://arxiv.org/abs/2509.22393 https://arxiv.org/pdf/25…

Text Adversarial Attacks with Dynamic Outputs
Text adversarial attack methods are typically designed for static scenarios with fixed numbers of output labels and a predefined label space, relying on extensive querying of the victim model (query-based attacks) or the surrogate model (transfer-based attacks). To address this gap, we introduce the Textual Dynamic Outputs Attack (TDOA) method, which employs a clustering-based surrogate model training approach to convert the dynamic-output scenario into a static single-output scenario. To impro…

Dynamical Pathways to the Misalignment of the VHS 1256-1257 System
Liz Holzknecht, Smadar Naoz, Cheyanne Shariat
https://arxiv.org/abs/2509.21452 https://a…

Dynamical Pathways to the Misalignment of the VHS 1256-1257 System
Circumbinary planets (CBPs) provide a unique window into planet formation and dynamical evolution in complex gravitational environments. Their orbits are shaped not only by the protoplanetary disk but also by the perturbations from two stellar hosts, making them sensitive probes of both early- and late-stage dynamical processes. In this work, we investigate the unusual architecture of the VHS J125601.92-125723.9 system, where a retrograde, nearly polar tertiary orbits an extremely low-mass subs…

Optimal Consumption-Investment with Epstein-Zin Utility under Leverage Constraint
Dejian Tian, Weidong Tian, Jianjun Zhou, Zimu Zhu
https://arxiv.org/abs/2509.21929 https://

Optimal Consumption-Investment with Epstein-Zin Utility under Leverage Constraint
We study optimal portfolio choice under Epstein-Zin recursive utility in the presence of general leverage constraints. We first establish that the optimal value function is the unique viscosity solution to the associated Hamilton-Jacobi-Bellman (HJB) equation, by developing a new dynamic programming principle under constraints. We further demonstrate that the value function admits smoothness and characterize the optimal consumption and investment strategies. In addition, we derive explicit solu…

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🖊️ Portable printer developed for fabrication of origami devices
#manufacturing

Portable printer developed for fabrication of origami devices
In the present times, origami-inspired three-dimensional (3D) devices are being developed, where a single sheet of material is folded into small devices. These devices are being developed for medical applications like stents or surgical tools; agricultural devices like soil-sensors; and efficient spacecraft radiators or solar arrays that are used in space technology. Along with innovation, it is also important to focus on sustainable technology that can fulfill human needs and is adaptable to e…

Attention-Enhanced Reinforcement Learning for Dynamic Portfolio Optimization
Pei Xue, Yuanchun Ye
https://arxiv.org/abs/2510.06466 https://arxiv.org/pdf/25…

Attention-Enhanced Reinforcement Learning for Dynamic Portfolio Optimization
We develop a deep reinforcement learning framework for dynamic portfolio optimization that combines a Dirichlet policy with cross-sectional attention mechanisms. The Dirichlet formulation ensures that portfolio weights are always feasible, handles tradability constraints naturally, and provides a stable way to explore the allocation space. The model integrates per-asset temporal encoders with a global attention layer, allowing it to capture sector relationships, factor spillovers, and other cro…

Simulating Teams with LLM Agents: Interactive 2D Environments for Studying Human-AI Dynamics
Mohammed Almutairi, Charles Chiang, Haoze Guo, Matthew Belcher, Nandini Banerjee, Maria Milkowski, Svitlana Volkova, Daniel Nguyen, Tim Weninger, Michael Yankoski, Trenton W. Ford, Diego Gomez-Zara
https://arxiv.org/abs/2510.08242

Simulating Teams with LLM Agents: Interactive 2D Environments for Studying Human-AI Dynamics
Enabling users to create their own simulations offers a powerful way to study team dynamics and performance. We introduce VirTLab, a system that allows researchers and practitioners to design interactive, customizable simulations of team dynamics with LLM-based agents situated in 2D spatial environments. Unlike prior frameworks that restrict scenarios to predefined or static tasks, our approach enables users to build scenarios, assign roles, and observe how agents coordinate, move, and adapt ov…

Dynamic Line Ratings in AC Optimal Power Flow: Transient Temperature, Decomposition, and Large-scale Evaluation
Baptiste Rabecq, Thomas Lee, Andy Sun
https://arxiv.org/abs/2510.10832

Dynamic Line Ratings in AC Optimal Power Flow: Transient Temperature, Decomposition, and Large-scale Evaluation
As power grids experience increasing renewable penetration and rapid load growth from AI data centers and electrification, alleviating line congestion becomes critical to unlocking additional grid capacity. This work investigates Dynamic Line Rating (DLR), a congestion mitigation method that adjusts power line current limits in response to meteorological conditions. Unlike traditional approaches that impose predefined time-varying limits, we propose a novel optimization framework that embeds th…

LAPIS: A Performance Portable, High Productivity Compiler Framework
Brian Kelley, Sivasankaran Rajamanickam
https://arxiv.org/abs/2509.25605 https://arxiv.…

LAPIS: A Performance Portable, High Productivity Compiler Framework
Portability, performance, and productivity are three critical dimensions for evaluating a programming model or compiler infrastructure. Several modern programming models for computational science focus on performance and portability. On the other end, several machine learning focused programming models focus on portability and productivity. A clear solution that is strong in all three dimensions has yet to emerge. A second related problem arises when use cases from computational science converg…

Paraplume: A fast and accurate paratope prediction method provides insights into repertoire-scale binding dynamics
Gabriel Ath\`enes, Adam Woolfe, Thierry Mora, Aleksandra M. Walczak
https://arxiv.org/abs/2510.05626

Paraplume: A fast and accurate paratope prediction method provides insights into repertoire-scale binding dynamics
The specific region of an antibody responsible for binding to an antigen, known as the paratope, is essential for immune recognition. Accurate identification of this small yet critical region can accelerate the development of therapeutic antibodies. Determining paratope locations typically relies on modeling the antibody structure, which is computationally intensive and difficult to scale across large antibody repertoires. We introduce Paraplume, a sequence-based paratope prediction method that…