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arXiv:2510.22212v2 Announce Type: replace Abstract: Current evaluation of German automatic text simplification (ATS) relies on general-purpose metrics such as SARI, BLEU, and BERTScore, which insufficiently...
arXiv:2510.23082v3 Announce Type: replace Abstract: Accurate and efficient computation of Floquet multipliers and subspaces is essential for analyzing limit cycle in dynamical systems and periodic...
arXiv:2510.23896v2 Announce Type: replace Abstract: Text embeddings are an essential building component of several NLP tasks such as retrieval-augmented generation which is crucial for preventing...
arXiv:2511.00814v2 Announce Type: replace Abstract: Autonomous systems often must predict the motions of nearby agents from partial and noisy data. This paper asks and answers...
arXiv:2511.03550v3 Announce Type: replace Abstract: Research indicates that humans can mistakenly assume that robots and humans have the same field of view, possessing an inaccurate...
arXiv:2511.03738v2 Announce Type: replace Abstract: Large Language Models exhibit implicit personalities in their generation, but reliably controlling or aligning these traits to meet specific needs...
arXiv:2511.03810v2 Announce Type: replace Abstract: We study the fundamental problem of fairly allocating a multiset $\mathcal{M}$ of $t$ types of indivisible items among $d$ groups...
arXiv:2511.05664v2 Announce Type: replace Abstract: Masked diffusion models have demonstrated competitive results on various tasks including language generation. However, due to its iterative refinement process,...
arXiv:2511.05681v2 Announce Type: replace Abstract: Text-to-image (T2I) diffusion models achieve impressive photorealism by training on large-scale web data, but models inherit cultural biases and fail...
arXiv:2511.05826v2 Announce Type: replace Abstract: An appropriate distance metric is crucial for categorical data clustering, as the distance between categorical data cannot be directly calculated....
arXiv:2511.06202v2 Announce Type: replace Abstract: Vision-Language-Action (VLA) models like OpenVLA demonstrate impressive zero-shot generalization across robotic manipulation tasks but struggle to adapt to specific deployment...
arXiv:2511.07619v2 Announce Type: replace Abstract: Multimodal audiovisual perception can enable new avenues for robotic manipulation, from better material classification to the imitation of demonstrations for...
arXiv:2511.07722v2 Announce Type: replace Abstract: LLMs hallucinate, yet some confabulations can have social affordances if carefully bounded. We propose critical confabulation (inspired by critical fabulation...
arXiv:2511.10150v5 Announce Type: replace Abstract: Fairness is a core element in the trustworthy deployment of deepfake detection models, especially in the field of digital identity...
arXiv:2511.11267v3 Announce Type: replace Abstract: The works presented in this habilitation concern the algorithmics of polynomials. This is a central topic in computer algebra, with...
arXiv:2511.11368v2 Announce Type: replace Abstract: Recent 3D human motion generation models demonstrate remarkable reconstruction accuracy yet struggle to generalize beyond training distributions. This limitation arises...
arXiv:2511.11435v2 Announce Type: replace Abstract: The ambiguity between generalization and memorization in TTI diffusion models becomes pronounced when prompts invoke culturally shared visual references, a...
arXiv:2511.12474v2 Announce Type: replace Abstract: We present a novel framework for automated interior design that combines large language models (LLMs) with grid-based integer programming to...
arXiv:2511.13127v3 Announce Type: replace Abstract: Jailbreak attacks can circumvent model safety guardrails and reveal critical blind spots. Prior attacks on text-to-video (T2V) models typically add...
arXiv:2511.13232v4 Announce Type: replace Abstract: Portable ultra-low-field MRI (uLF-MRI, 0.064 T) offers accessible neuroimaging for neonatal care but suffers from low signal-to-noise ratio and poor...
arXiv:2511.13459v2 Announce Type: replace Abstract: Reinforcement learning (RL) approaches based on Markov Decision Processes (MDPs) are predominantly applied in the robot joint space, often relying...
arXiv:2511.15239v2 Announce Type: replace Abstract: In distributed multi-agent navigation without explicit communication, agents can fall into symmetry-induced deadlocks because each agent must autonomously decide how...
arXiv:2511.15481v3 Announce Type: replace Abstract: Densely annotated medical image datasets that capture not only diagnostic labels but also the underlying reasoning behind these diagnoses are...
arXiv:2511.16050v2 Announce Type: replace Abstract: Underwater robotic manipulation remains challenging because lighting variation, color attenuation, scattering, and reduced visibility can severely degrade visuomotor policies. We...