Tootfinder

SUB: Benchmarking CBM Generalization via Synthetic Attribute Substitutions
Jessica Bader, Leander Girrbach, Stephan Alaniz, Zeynep Akata
https://arxiv.org/abs/2507.23784 https:/…

SUB: Benchmarking CBM Generalization via Synthetic Attribute Substitutions
Concept Bottleneck Models (CBMs) and other concept-based interpretable models show great promise for making AI applications more transparent, which is essential in fields like medicine. Despite their success, we demonstrate that CBMs struggle to reliably identify the correct concepts under distribution shifts. To assess the robustness of CBMs to concept variations, we introduce SUB: a fine-grained image and concept benchmark containing 38,400 synthetic images based on the CUB dataset. To create…

Replaced article(s) found for math.CV. https://arxiv.org/list/math.CV/new
[1/1]:
- A transference principle for involution-invariant functional Hilbert spaces
Santu Bera, Sameer Chavan, Shubham Jain

Neither Valid nor Reliable? Investigating the Use of LLMs as Judges
Khaoula Chehbouni, Mohammed Haddou, Jackie Chi Kit Cheung, Golnoosh Farnadi
https://arxiv.org/abs/2508.18076 …

Neither Valid nor Reliable? Investigating the Use of LLMs as Judges
Evaluating natural language generation (NLG) systems remains a core challenge of natural language processing (NLP), further complicated by the rise of large language models (LLMs) that aims to be general-purpose. Recently, large language models as judges (LLJs) have emerged as a promising alternative to traditional metrics, but their validity remains underexplored. This position paper argues that the current enthusiasm around LLJs may be premature, as their adoption has outpaced rigorous scruti…

Heute vor 79 Jahren: Am 24. Juli 1946 wurde im Rahmen der Operation #Crossroads am Bikini-Atoll der Baker-Test durchgeführt. Eine Atombombe detonierte 90 Fuß unter Wasser, wobei das Landungsboot LSM-60 verdampfte. 10 Schiffe sanken, darunter die Prinz Eugen.

Hierarchical constraints on gravitational waves from horizonless compact objects
Rajrupa Mondal, Julian Westerweck, Yotam Sherf, Collin D. Capano
https://arxiv.org/abs/2506.17215 …

Hierarchical constraints on gravitational waves from horizonless compact objects
We use the data of several promising gravitational wave observations to obtain increasingly stringent bounds on near-horizon deviations of their sources from the Kerr geometry. A range of horizonless compact objects proposed as alternatives to black holes of general relativity would possess a modified gravitational wave emission after the merger. Modelling these objects by introducing reflection of gravitational waves near the horizon, we can measure deviations from Kerr in terms of a single ad…

Asymmetry by Design: Boosting Cyber Defenders with Differential Access to AI
Shaun Ee, Chris Covino, Cara Labrador, Christina Krawec, Jam Kraprayoon, Joe O'Brien
https://arxiv.org/abs/2506.02035

Asymmetry by Design: Boosting Cyber Defenders with Differential Access to AI
As AI-enabled cyber capabilities become more advanced, we propose "differential access" as a strategy to tilt the cybersecurity balance toward defense by shaping access to these capabilities. We introduce three possible approaches that form a continuum, becoming progressively more restrictive for higher-risk capabilities: Promote Access, Manage Access, and Deny by Default. However, a key principle across all approaches is the need to prioritize defender access, even in the most restrictive scen…

XMAD-Bench: Cross-Domain Multilingual Audio Deepfake Benchmark
Ioan-Paul Ciobanu, Andrei-Iulian Hiji, Nicolae-Catalin Ristea, Paul Irofti, Cristian Rusu, Radu Tudor Ionescu
https://arxiv.org/abs/2506.00462

XMAD-Bench: Cross-Domain Multilingual Audio Deepfake Benchmark
Recent advances in audio generation led to an increasing number of deepfakes, making the general public more vulnerable to financial scams, identity theft, and misinformation. Audio deepfake detectors promise to alleviate this issue, with many recent studies reporting accuracy rates close to 99%. However, these methods are typically tested in an in-domain setup, where the deepfake samples from the training and test sets are produced by the same generative models. To this end, we introduce XMAD-…

Electromagnetically Reconfigurable Antennas for 6G: Enabling Technologies, Prototype Studies, and Research Outlook
Pinjun Zheng, Ruiqi Wang, Yuchen Zhang, Md. Jahangir Hossain, Anas Chaaban, Atif Shamim, Tareq Y. Al-Naffouri
https://arxiv.org/abs/2506.00657

Electromagnetically Reconfigurable Antennas for 6G: Enabling Technologies, Prototype Studies, and Research Outlook
The transition to the sixth-generation (6G) network is anticipated to redefine wireless transceiver architectures, demanding higher adaptability and efficiency at the antenna layer. Electromagnetically reconfigurable antennas (ERAs) have emerged as a promising solution capable of dynamically reconfiguring wireless channels to meet these requirements. This article presents an overview of recent advancements in ERA technology, underscoring its transformative potential for 6G applications. Drawing…

Relativistic second gradient theory of continuous media
Mina Chapon (LMPS), Lionel Darondeau (IMJ-PRG), Rodrigue Desmorat (LMT, LMPS), Cl\'ement Ecker (LMPS), Boris Kolev (LMPS)
https://arxiv.org/abs/2507.13030

Relativistic second gradient theory of continuous media
Variational Relativity is a framework developed by Souriau in the sixties to better formulate General Relativity and its classical limit\,: Classical Continuum Mechanics. It has been used, for instance, to formulate Hyperelasticity in General Relativity. In that case, two primary variables are involved, the universe (Lorentzian) metric $g$ and the matter field $Ψ$. A Lagrangian density depending on the 1-jet of these variables is then introduced which must satisfy the principle of General Cova…

Interface Structure and Electronic Properties in Cubic Boron Nitride - Diamond Heterostructures
Cody L. Milne, Hector Gomez, Adway Gupta, A. Glen Birdwell, Sergey Rudin, Elias J. Garratt, Bradford B. Pate, Tony G. Ivanov, Arunima K. Singh, Mahesh R. Neupane
https://arxiv.org/abs/2508.02606

Interface Structure and Electronic Properties in Cubic Boron Nitride - Diamond Heterostructures
Heterointerfaces of cubic boron nitride (cBN) with diamond have garnered significant interest due to their ultra-wide bandgaps and small lattice mismatch ($\sim1.5$\%), offering promising advancements in high-power and high-frequency electronic devices. However, the realization of this heterointerface has been limited by challenging growth conditions and insufficient understanding of interfacial properties. In this work, we employ density-functional theory to investigate the structural and elec…