Tootfinder

Replaced article(s) found for cs.CL. https://arxiv.org/list/cs.CL/new
[2/8]:
- Adaptively profiling models with task elicitation
Davis Brown, Prithvi Balehannina, Helen Jin, Shreya Havaldar, Hamed Hassani, Eric Wong

Polycyclic aromatic hydrocarbon (PAH) abundances in the disk around T Chamaeleontis (T Cha): PAH sizes, ionization fraction, and mass during JWST observations
Rahul Bandyopadhyay (Departamento de Astronom\'ia, Universidad de Chile, Santiago, Chile, Millennium Nucleus on Young Exoplanets and their Moons), Simon Casassus (Departamento de Astronom\'ia, Universidad de Chile, Santiago, Chile, Data Observatory Foundation, Santiago, Chile)

Polycyclic aromatic hydrocarbon (PAH) abundances in the disk around T Chamaeleontis (T Cha): PAH sizes, ionization fraction, and mass during JWST observations
The T Tauri star T Cha is known to have a protoplanetary disk with a dust gap separating the inner and outer disk regions. The mid-IR JWST spectrum of T Cha show multiple prominent aromatic infrared bands (AIBs) around 6.2, 8.1, and 11.3 $μ$m. AIBs are commonly accepted as the emission stemming from PAH molecules. We aim to characterize the PAHs giving rise to the AIBs observed in the JWST spectrum of T Cha. Our objective is to estimate the PAH abundances, in terms of their sizes, ionization f…

Exploratory Semantic Reliability Analysis of Wind Turbine Maintenance Logs using Large Language Models
Max Malyi, Jonathan Shek, Andre Biscaya
https://arxiv.org/abs/2509.22366 h…

Exploratory Semantic Reliability Analysis of Wind Turbine Maintenance Logs using Large Language Models
A wealth of operational intelligence is locked within the unstructured free-text of wind turbine maintenance logs, a resource largely inaccessible to traditional quantitative reliability analysis. While machine learning has been applied to this data, existing approaches typically stop at classification, categorising text into predefined labels. This paper addresses the gap in leveraging modern large language models (LLMs) for more complex reasoning tasks. We introduce an exploratory framework t…

Si vous consommez du lait de vache, je vous supplie de vous informer sur sa production en regardant cette vidéo : https://peertube.stream/w/ctjgXXS6xUf3BgK3smDvbj
Pas d'images insoutenables au global SAUF un viol de taureau et on voit le gode (oui...) venir plusieurs secondes…

Future launches Collab, an initiative that integrates creator-led content across its portfolio; creators are hand-selected and paid flat fees as contributors (Kerry Flynn/Axios)
https://www.axios.com/2025/09/23/marie-claire-future-collab-creator-program…

Exclusive: Marie Claire publisher Future launches creator program
Future's new initiative taps creators for long-form content.

Endlich: Mac kann sich automatisch mit iPhone-Hotspot verbinden
Viele Mac-Besitzer verwenden unterwegs ihr iPhone, um mit dem Mac online zugehen. Das klappt üblicherweise gut, hat aber einen Pferdefuß. Den behebt Apple nun.

#PirateABookOrPlay

Pricing American options time-capped by a drawdown even in a L\'evy market
Zbigniew Palmowski, Pawe{\l} St\c{e}pniak
https://arxiv.org/abs/2508.20677 https://

Pricing American options time-capped by a drawdown even in a Lévy market
This paper presents a derivation of the explicit price for the perpetual American put option time-capped by the first drawdown epoch beyond a predefined level. We consider the market in which an asset price is described by geometric Lévy process with downward exponential jumps. We show that the optimal stopping rule is the first time when the asset price gets below a special value. The proof relies on martingale arguments and the fluctuation theory of Lévy processes. We also provide a numeric…

Signs of Struggle: Spotting Cognitive Distortions across Language and Register
Abhishek Kuber, Enrico Liscio, Ruixuan Zhang, Caroline Figueroa, Pradeep K. Murukannaiah
https://arxiv.org/abs/2508.20771 …

Signs of Struggle: Spotting Cognitive Distortions across Language and Register
Rising mental health issues among youth have increased interest in automated approaches for detecting early signs of psychological distress in digital text. One key focus is the identification of cognitive distortions, irrational thought patterns that have a role in aggravating mental distress. Early detection of these distortions may enable timely, low-cost interventions. While prior work has focused on English clinical data, we present the first in-depth study of cross-lingual and cross-regis…

TokenVerse : Towards Flexible Multitask Learning with Dynamic Task Activation
Shashi Kumar, Srikanth Madikeri, Esa\'u Villatoro-Tello, Sergio Burdisso, Pradeep Rangappa, Andr\'es Carofilis, Petr Motlicek, Karthik Pandia, Shankar Venkatesan, Kadri Hacio\u{g}lu, Andreas Stolcke
https://arxiv.org/abs/2508.19856

TokenVerse++: Towards Flexible Multitask Learning with Dynamic Task Activation
Token-based multitasking frameworks like TokenVerse require all training utterances to have labels for all tasks, hindering their ability to leverage partially annotated datasets and scale effectively. We propose TokenVerse++, which introduces learnable vectors in the acoustic embedding space of the XLSR-Transducer ASR model for dynamic task activation. This core mechanism enables training with utterances labeled for only a subset of tasks, a key advantage over TokenVerse. We demonstrate this b…