arXiv:2509.13725v1 Announce Type: new Abstract: Social anxiety is a common mental health condition linked to significant challenges in academic, social, and occupational functioning. A core feature is elevated momentary (state) anxiety in social situations, yet little prior work has measured…
arXiv:2509.14203v1 Announce Type: cross Abstract: Learning and optimal control under robust Markov decision processes (MDPs) have received increasing attention, yet most existing theory, algorithms, and applications focus on finite-horizon or discounted models. The average-reward formulation, while natural in many operations…
arXiv:2509.13717v1 Announce Type: new Abstract: Physics-Informed Neural Networks (PINNs) have emerged as a powerful framework for solving PDEs, yet existing uncertainty quantification (UQ) approaches for PINNs generally lack rigorous statistical guarantees. In this work, we bridge this gap by introducing…
arXiv:2509.14032v1 Announce Type: cross Abstract: We study the existence and computation of Nash equilibria in continuous static games where the players’ admissible strategies are subject to shared coupling constraints, i.e., constraints that depend on their emph{joint} strategies. Specifically, we focus…
arXiv:2509.13686v1 Announce Type: new Abstract: Accurate localized wireless channel modeling is a cornerstone of cellular network optimization, enabling reliable prediction of network performance during parameter tuning. Localized statistical channel modeling (LSCM) is the state-of-the-art channel modeling framework tailored for cellular…
arXiv:2509.13980v1 Announce Type: cross Abstract: In this paper, we present our submission to the Tenth Conference on Machine Translation (WMT25) Shared Task on Automated Translation Quality Evaluation. Our systems are built upon the COMET framework and trained to predict segment-level…
arXiv:2509.13651v1 Announce Type: new Abstract: The fairness-accuracy trade-off is a key challenge in NLP tasks. Current work focuses on finding a single “optimal” solution to balance the two objectives, which is limited considering the diverse solutions on the Pareto front.…
arXiv:2505.18614v3 Announce Type: replace-cross Abstract: Lyrics translation requires both accurate semantic transfer and preservation of musical rhythm, syllabic structure, and poetic style. In animated musicals, the challenge intensifies due to alignment with visual and auditory cues. We introduce Multilingual Audio-Video…
arXiv:2509.13648v1 Announce Type: new Abstract: Generative recommendation plays a crucial role in personalized systems, predicting users’ future interactions from their historical behavior sequences. A critical yet underexplored factor in training these models is data augmentation, the process of constructing training…
arXiv:2408.17432v3 Announce Type: replace-cross Abstract: Synthesizing the voices of unseen speakers remains a persisting challenge in multi-speaker text-to-speech (TTS). Existing methods model speaker characteristics through speaker conditioning during training, leading to increased model complexity and limiting reproducibility and accessibility. A…
