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arXiv:2601.20429v1 Announce Type: new Abstract: 3D Gaussian Splatting has gained widespread adoption across diverse applications due to its exceptional rendering performance and visual quality. While...
arXiv:2601.20430v1 Announce Type: new Abstract: This paper presents Youtu-Parsing, an efficient and versatile document parsing model designed for high-performance content extraction. The architecture employs a...
arXiv:2601.20432v1 Announce Type: new Abstract: Audio watermarking embeds auxiliary information into speech while maintaining speaker identity, linguistic content, and perceptual quality. Although recent advances in...
arXiv:2601.20433v1 Announce Type: new Abstract: Deepfake detection is a widely researched topic that is crucial for combating the spread of malicious content, with existing methods...
arXiv:2601.20435v1 Announce Type: new Abstract: The convergence of high-performance computing (HPC) and artificial intelligence (AI) is driving the emergence of increasingly complex parallel applications and...
arXiv:2601.20437v1 Announce Type: new Abstract: This paper presents "Remember Me, Not Save Me," an AR & AI system enabling virtual citizens to develop personality through...
arXiv:2601.20439v1 Announce Type: new Abstract: Large Language Models show great potential with external tools, but face significant challenges in complex, multi-turn tool invocation. They often...
arXiv:2601.20445v1 Announce Type: new Abstract: Heterogeneous systems commonly adopt dynamic scheduling algorithms to improve resource utilization and enhance scheduling flexibility. However, such flexibility may introduce...
arXiv:2601.20448v1 Announce Type: new Abstract: Recent lightweight MLP-based models have achieved strong performance in time series forecasting by capturing stable trends and seasonal patterns. However,...
arXiv:2601.20449v1 Announce Type: new Abstract: Explainable Artificial Intelligence (XAI) is becoming increasingly essential for enhancing the transparency of machine learning (ML) models. Among the various...
arXiv:2601.20451v1 Announce Type: new Abstract: The prevalence of sarcasm in multimodal dialogues on the social platforms presents a crucial yet challenging task for understanding the...
arXiv:2601.20456v1 Announce Type: new Abstract: Stochastic transport processes on networked domains (modelled on metric graphs) arise in a variety of applications where diffusion and drift...
arXiv:2601.20459v1 Announce Type: new Abstract: Current legal frameworks enforce that Android developers accurately report the data their apps collect. However, large codebases can make this...
arXiv:2601.20461v1 Announce Type: new Abstract: With the rapid proliferation of powerful image generators, accurate detection of AI-generated images has become essential for maintaining a trustworthy...
arXiv:2601.20462v1 Announce Type: new Abstract: Generative artificial intelligence (GAI) plays a fundamental role in high-impact AI-based systems such as SORA and AlphaFold. Currently, GAI shows...
arXiv:2601.20464v1 Announce Type: new Abstract: The intersection of visualization and the humanities (VIS*H) is marked by a tension between chasing analytical "insight" and interpretive "meaning."...
arXiv:2601.20465v1 Announce Type: new Abstract: Language-model-based agents operating over extended interaction horizons face persistent challenges in preserving temporally grounded information and maintaining behavioral consistency across...
arXiv:2601.20466v1 Announce Type: new Abstract: We designed and evaluated an AI pilot in a planetarium visualization software, OpenSpace, for public shows in science centers. The...
arXiv:2601.20467v1 Announce Type: new Abstract: Chain-of-thought (CoT) prompting improves LLM reasoning but incurs high latency and memory cost due to verbose traces, motivating CoT compression...
arXiv:2601.20468v1 Announce Type: new Abstract: We explore how touch-sensitive spherical displays can support climate conversations in museums and science centers. These displays enable intuitive and...
arXiv:2601.20476v1 Announce Type: new Abstract: Generative artificial intelligence (AI) has found a widespread use in computing education; at the same time, quality of generated materials...
arXiv:2601.20477v1 Announce Type: new Abstract: We study the supervised training dynamics of neural classifiers through the lens of binary hypothesis testing. We model classification as...
arXiv:2601.20478v1 Announce Type: new Abstract: Basso continuo is a baroque improvisatory accompaniment style which involves improvising multiple parts above a given bass line in a...
arXiv:2601.20480v1 Announce Type: new Abstract: High-dimensional neuroimaging data presents challenges for assessing neurodegenerative diseases due to complex non-linear relationships. Variational Autoencoders (VAEs) can encode scans...