Tootfinder

Pimba: A Processing-in-Memory Acceleration for Post-Transformer Large Language Model Serving
Wonung Kim, Yubin Lee, Yoonsung Kim, Jinwoo Hwang, Seongryong Oh, Jiyong Jung, Aziz Huseynov, Woong Gyu Park, Chang Hyun Park, Divya Mahajan, Jongse Park
https://arxiv.org/abs/2507.10178

Pimba: A Processing-in-Memory Acceleration for Post-Transformer Large Language Model Serving
Transformers are the driving force behind today's Large Language Models (LLMs), serving as the foundation for their performance and versatility. Yet, their compute and memory costs grow with sequence length, posing scalability challenges for long-context inferencing. In response, the algorithm community is exploring alternative architectures, such as state space models (SSMs), linear attention, and recurrent neural networks (RNNs), which we refer to as post-transformers. This shift presents a k…

Weak measurement in strong laser field physics
Philipp Stammer, Javier Rivera-Dean, Marcelo F. Ciappina, Maciej Lewenstein
https://arxiv.org/abs/2508.09048 https://

Weak measurement in strong laser field physics
The advantage of attosecond measurements is the possibility of time-resolving ultrafast quantum phenomena of electron dynamics. Many such measurements are of interferometric nature, and therefore give access to the phase. Likewise, weak measurements are intrinsically interferometric and specifically take advantage of interfering probability amplitudes, therefore encoding the phase information of the process. In this work, we show that attosecond interferometry experiments can be seen as a weak …

Are UX evaluation methods truly accessible
Andr\'es Eduardo Fuentes-Cort\'azar, Alejandra Rivera-Hern\'andez, Jos\'e Rafael Rojano-C\'aceres
https://arxiv.org/abs/2508.07620

Are UX evaluation methods truly accessible
Providing an equitable and inclusive user experience (UX) for people with disabilities (PWD) is a central goal of accessible design. In the specific case of Deaf users, whose hearing impairments impact language development and communication, it is essential to consider their specific needs during software evaluation processes. This study aimed to analyze a set of UX evaluation methods suggested in the literature as suitable for Deaf individuals, with the goal of validating their level of access…

Fiducial-Cosmology-dependent systematics for the DESI 2024 Full-Shape Analysis
R. Gsponer, S. Ramirez-Solano, F. Rodr\'iguez-Mart\'inez, M. Vargas-Maga\~na, S. Novell-Masot, N. Findlay, H. Gil-Mar\'in, P. Zarrouk, S. Nadathur, A. Rocher, S. Brieden, A. P\'erez-Fern\'andez, J. Aguilar, S. Ahlen, D. Bianchi, D. Brooks, F. J. Castander, T. Claybaugh, A. Cuceu, A. de la Macorra, A. de Mattia, Arjun Dey, P. Doel, A. Font-Ribera, J. E. Forero-Romero, E. Gazta\~naga, S. Go…

Fiducial-Cosmology-dependent systematics for the DESI 2024 Full-Shape Analysis
We assess the impact of the fiducial cosmology choice on cosmological inference from full-shape (FS) fits of the galaxy power spectrum in the DESI 2024 Data Release 1 (DR1). Using a suite of AbacusSummit DR1 mock catalogues based on the Planck 2018 best-fit cosmology, we quantify potential systematic shifts introduced by analysing the data under five secondary cosmologies - featuring variations in matter density, thawing dark energy, higher effective number of neutrino species, reduced clusteri…

Rapid cosmological inference with the two-loop matter power spectrum
Thomas Bakx, Henrique Rubira, Nora Elisa Chisari, Zvonimir Vlah
https://arxiv.org/abs/2508.00611 https://

Rapid cosmological inference with the two-loop matter power spectrum
We compute the two-loop effective field theory (EFT) power spectrum of dark matter density fluctuations in $Λ$CDM using the recently proposed COBRA method (Bakx. et al, 2025). With COBRA, we are able to evaluate the two-loop matter power spectrum in $\sim 1$ millisecond at $ \sim 0.1 \%$ precision on one CPU for arbitrary redshifts and on scales where perturbation theory applies. As an application, we use the nonlinear matter power spectrum from the Dark Sky simulation to assess the performanc…

Do AI models help produce verified bug fixes?
Li Huang, Ilgiz Mustafin, Marco Piccioni, Alessandro Schena, Reto Weber, Bertrand Meyer
https://arxiv.org/abs/2507.15822

Do AI models help produce verified bug fixes?
Among areas of software engineering where AI techniques -- particularly, Large Language Models -- seem poised to yield dramatic improvements, an attractive candidate is Automatic Program Repair (APR), the production of satisfactory corrections to software bugs. Does this expectation materialize in practice? How do we find out, making sure that proposed corrections actually work? If programmers have access to LLMs, how do they actually use them to complement their own skills? To answer these q…

Thank you, @roopikarisam.bsky.social, for your closing words for #DH2025: 'the future of DH requires access grounded in accountability; repair sustained by care; scholarship driven by solidarity'
And also, 'hope and strategy are very important things to hold onto right now'

Transport-Generated Signals Uncover Geometric Features of Evolving Branched Structures
Fabian H. Kreten, Ludger Santen, Reza Shaebani
https://arxiv.org/abs/2506.11575

Transport-Generated Signals Uncover Geometric Features of Evolving Branched Structures
Branched structures that evolve over time critically determine the function of various natural and engineered systems, including growing vasculature, neural arborization, pulmonary networks such as lungs, river basins, power distribution networks, and synthetic flow media. Inferring the underlying geometric properties of such systems and monitoring their structural and morphological evolution is therefore essential. However, this remains a major challenge due to limited access and the transient…