202

arXiv:2512.16899v1 Announce Type: new
Abstract: Reward models (RMs) are essential for training large language models (LLMs), but remain underexplored for omni models that handle interleaved image and text sequences. We introduce Multimodal RewardBench 2 (MMRB2), the first comprehensive benchmark fo…
228

arXiv:2512.15761v1 Announce Type: new
Abstract: Thrombosis in rotary blood pumps arises from complex flow conditions that remain difficult to translate into reliable and interpretable risk predictions using existing computational models. This limitation reflects an incomplete understanding of how s…
110

arXiv:2411.14771v4 Announce Type: replace
Abstract: Channels with synchronization errors, exhibiting deletion and insertion errors, find practical applications in DNA storage, data reconstruction, and various other domains. Presence of insertions and deletions render the channel with memory, compli…
111

arXiv:2512.16739v1 Announce Type: new
Abstract: Lung cancer patients frequently experience breakthrough pain episodes, with up to 91% requiring timely intervention. To enable proactive pain management, we propose a hybrid machine learning and large language model pipeline that predicts pain episode…
9

arXiv:2512.16694v1 Announce Type: new
Abstract: This research stems from the urgency to automate the thematic grouping of hadith in line with the growing digitalization of Islamic texts. Based on a literature review, the unsupervised learning approach with the Apriori algorithm has proven effective…
220

arXiv:2401.16764v4 Announce Type: replace
Abstract: Witnessing the evolution of text-to-image diffusion models, significant strides have been made in text-to-3D generation. Currently, two primary paradigms dominate the field of text-to-3D: the feed-forward generation solutions, capable of swiftly p…
138

arXiv:2512.15495v1 Announce Type: new
Abstract: We derive a posteriori error estimate for a fully discrete adaptive finite element approximation of the stochastic Cahn-Hilliard equation with rough noise. The considered model is derived from the stochastic Cahn-Hilliard equation with additive space-…
223

arXiv:2512.15414v1 Announce Type: new
Abstract: Detecting packed executables is a critical step in malware analysis, as packing obscures the original code and complicates static inspection. This study evaluates both classical feature-based methods and deep learning approaches that transform binary …
130

arXiv:2512.14762v1 Announce Type: new
Abstract: Translating algorithms from high-level languages like MATLAB to hardware description languages (HDLs) is a resource-intensive but necessary step for deployment on FPGAs and ASICs. While large language models (LLMs) offer a path to automation, their li…
211

NASA opens the International Space Station for scientists and researchers, inviting them to use the benefits of microgravity for private industry research, technology demonstrations, and more. Today, half of the crew’s time aboard station is devoted to these aims, including medical research that add…
231

arXiv:2512.14746v1 Announce Type: new
Abstract: Camera-equipped mobile devices, such as phones, smart glasses, and AR headsets, pose a privacy challenge for bystanders, who currently lack effective real-time mechanisms to control the capture of their picture, video, including their face. We present…
111

arXiv:2511.10946v2 Announce Type: replace
Abstract: Vision-language models (VLMs) struggle with 3D-related tasks such as spatial cognition and physical understanding, which are crucial for real-world applications like robotics and embodied agents. We attribute this to a modality gap between the 3D …
329

arXiv:2512.15305v1 Announce Type: new
Abstract: The goal of the present work is to propose an agent-based model that originally combines classical Vicsek-like polarity alignments and contact forces, as implemented in the framework developed by Maury and Venel in [Maury, Venel, 2011]. The descriptio…
243

arXiv:2512.15701v1 Announce Type: new
Abstract: Evaluations of image compression performance which include human preferences have generally found that naive distortion functions such as MSE are insufficiently aligned to human perception. In order to align compression models to human perception, pri…
121

arXiv:2511.18828v3 Announce Type: replace-cross
Abstract: Over the last few months, AI models including large language models have improved greatly. There are now several documented examples where they have helped professional mathematical scientists prove new results, sometimes even helping resolv…