Tootfinder

Crosslisted article(s) found for cs.PL. https://arxiv.org/list/cs.PL/new
[1/1]:
- Optimization Modeling via Semantic Anchored Alignment
Yansen Zhang, Qingcan Kang, Yujie Chen, Yufei Wang, Xiongwei Han, Tao Zhong, Mingxuan Yuan, Chen Ma

Ontem eu tootei aqui sobre a minha preocupação com o gatinho amarelinho e com o preto e branco, que eu não via hš alguns dias. Aí hoje os safados resolveram aparecer rs.
#Caturday
#CatsOfMastodon

PDRs4All XIX. The 6 to 9 $\mu$m region as a probe of PAH charge and size in the Orion Bar
Baria Khan, Samuel A. Daza Rodriguez, Els Peeters, Alexander G. G. M. Tielens, Takashi Onaka, Jan Cami, Bethany Schefter, Christiaan Boersma, Felipe Alarc\'on, Olivier Bern\'e, Am\'elie Canin, Ryan Chown, Emmanuel Dartois, Javier R. Goicoechea, Emilie Habart, Olga Kannavou, Alexandros Maragkoudakis, Amit Pathak, Alessandra Ricca, Ga\"el Rouill\'e, Dinalva A. Sales, Ilane Schro…

PDRs4All XIX. The 6 to 9 $μ$m region as a probe of PAH charge and size in the Orion Bar
Infrared emission from polycyclic aromatic hydrocarbons (PAHs) play a major role in determining the charge balance of their host environments that include photo-dissociation regions (PDRs) in galaxies, planetary nebulae, and rims of molecular clouds. We aim to investigate the distribution and sizes of charged PAHs across the key zones of the Orion Bar PDR. We employ JWST MIRI-MRS observations of the Orion Bar from the Early Release Science program ''PDRs4All'' and synthetic images in the JWST M…

Triadic Fusion of Cognitive, Functional, and Causal Dimensions for Explainable LLMs: The TAXAL Framework
David Herrera-Poyatos, Carlos Pel\'aez-Gonz\'alez, Cristina Zuheros, Virilo Tejedor, Rosana Montes, Francisco Herrera
https://arxiv.org/abs/2509.05199

Triadic Fusion of Cognitive, Functional, and Causal Dimensions for Explainable LLMs: The TAXAL Framework
Large Language Models (LLMs) are increasingly being deployed in high-risk domains where opacity, bias, and instability undermine trust and accountability. Traditional explainability methods, focused on surface outputs, do not capture the reasoning pathways, planning logic, and systemic impacts of agentic LLMs. We introduce TAXAL (Triadic Alignment for eXplainability in Agentic LLMs), a triadic fusion framework that unites three complementary dimensions: cognitive (user understanding), functio…

Automated Bug Frame Retrieval from Gameplay Videos Using Vision-Language Models
Wentao Lu, Alexander Senchenko, Abram Hindle, Cor-Paul Bezemer
https://arxiv.org/abs/2508.04895 h…

Automated Bug Frame Retrieval from Gameplay Videos Using Vision-Language Models
Modern game studios deliver new builds and patches at a rapid pace, generating thousands of bug reports, many of which embed gameplay videos. To verify and triage these bug reports, developers must watch the submitted videos. This manual review is labour-intensive, slow, and hard to scale. In this paper, we introduce an automated pipeline that reduces each video to a single frame that best matches the reported bug description, giving developers instant visual evidence that pinpoints the bug. …

Reward Model Routing in Alignment
Xinle Wu, Yao Lu
https://arxiv.org/abs/2510.02850 https://arxiv.org/pdf/2510.02850

Reward Model Routing in Alignment
Reinforcement learning from human or AI feedback (RLHF / RLAIF) has become the standard paradigm for aligning large language models (LLMs). However, most pipelines rely on a single reward model (RM), limiting alignment quality and risking overfitting. Recent work explores RM routing--dynamically selecting an RM from a candidate pool to exploit complementary strengths while maintaining $O(1)$ RM calls--but existing methods suffer from cold-start and insufficient exploration. We propose BayesianR…

Artificial-Intelligence Grading Assistance for Handwritten Components of a Calculus Exam
Gerd Kortemeyer, Alexander Caspar, Daria Horica
https://arxiv.org/abs/2510.05162 https:/…

Artificial-Intelligence Grading Assistance for Handwritten Components of a Calculus Exam
We investigate whether contemporary multimodal LLMs can assist with grading open-ended calculus at scale without eroding validity. In a large first-year exam, students' handwritten work was graded by GPT-5 against the same rubric used by teaching assistants (TAs), with fractional credit permitted; TA rubric decisions served as ground truth. We calibrated a human-in-the-loop filter that combines a partial-credit threshold with an Item Response Theory (2PL) risk measure based on the deviation bet…

Solar Orbiter reveals persistent magnetic reconnection in medium-scale filament eruptions
Song Tan, Alexander Warmuth, Fr\'ed\'eric Schuller, Yuandeng Shen, Daniel F. Ryan, Daniele Calchetti, Johann Hirzberger, Takayoshi Oba, Artem Ulyanov, Gherardo Valori
https://arxiv.org/abs/2509.04771

Solar Orbiter reveals persistent magnetic reconnection in medium-scale filament eruptions
Solar filament eruptions play a key role in driving space weather, yet their fine-scale evolution remains poorly understood due to observational limitations. Using unprecedented high-resolution observations from Solar Orbiter's Extreme Ultraviolet Imager (105 km/pixel) and Polarimetric and Helioseismic Imager, we reveal persistent magnetic reconnection events in a failed filament eruption. We identify magnetic reconnections between the filament and surrounding magnetic field structures, with bo…

Às vezes, a atividade de corrigir provas me deixa profundamente deprimido. Nem mesmo o melhor professor do mundo consegui ensinar alguma coisa para alunos que não se esforçam minimamente. Eu me sinto um palhaço por me esforçar tanto (me prejudicando no processo) e não adiantar nada.

Replaced article(s) found for astro-ph.GA. https://arxiv.org/list/astro-ph.GA/new
[1/1]:
- Grain alignment and dust evolution physics with polarisation (GRADE-POL). I. Dust polarisation mo...
Tram, Hoang, Lazarian, Seifried, Andersson, Pillai, Truong, Diep, Fanciullo