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arXiv:2601.18510v1 Announce Type: new Abstract: While Large Language Model (LLM) agents excel at general tasks, they inherently struggle with continual adaptation due to the frozen...
arXiv:2601.18511v1 Announce Type: new Abstract: As large language models (LLMs) become ubiquitous, privacy concerns pertaining to inference inputs keep growing. In this context, fully homomorphic...
arXiv:2601.18512v1 Announce Type: new Abstract: This study introduces a methodological framework that uses large language models to create virtual personas of real top managers. Drawing...
arXiv:2601.18513v1 Announce Type: new Abstract: Lipschitz-based certification offers efficient, deterministic robustness guarantees but has struggled to scale in model size, training efficiency, and ImageNet performance....
arXiv:2601.18516v1 Announce Type: new Abstract: We study the hypercontractivity ribbon and the $\Phi$-ribbon for joint distributions that obey a given independence structure, obtaining tight bounds...
arXiv:2601.18517v1 Announce Type: new Abstract: Field education is the signature pedagogy of social work, yet providing timely and objective feedback during training is constrained by...
arXiv:2601.18520v1 Announce Type: new Abstract: We consider block preconditioners for double saddle-point systems, and investigate the effect of approximating the nested Schur complement associated with...
arXiv:2601.18521v1 Announce Type: new Abstract: Urban bus transit agencies need reliable, network-wide delay predictions to provide accurate arrival information to passengers and support real-time operational...
arXiv:2601.18524v1 Announce Type: new Abstract: Accurate prediction of nuclear magnetic resonance (NMR) chemical shifts is fundamental to spectral analysis and molecular structure elucidation, yet existing...
arXiv:2601.18525v1 Announce Type: new Abstract: In multimodal learning, CLIP has been recognized as the \textit{de facto} method for learning a shared latent space across multiple...
arXiv:2601.18527v1 Announce Type: new Abstract: With context windows of millions of tokens, Long-Context Language Models (LCLMs) can encode entire document collections, offering a strong alternative...
arXiv:2601.18532v1 Announce Type: new Abstract: Accurate segmentation annotations are critical for disease monitoring, yet manual labeling remains a major bottleneck due to the time and...
arXiv:2601.18533v1 Announce Type: new Abstract: Reinforcement learning with verifiable rewards (RLVR) succeeds in reasoning tasks (e.g., math and code) by checking the final verifiable answer...
arXiv:2601.18536v1 Announce Type: new Abstract: We present a novel metric for the evaluation of the morphological plausibility of subword segmentation. Unlike the typically used morpheme...
arXiv:2601.18537v1 Announce Type: new Abstract: Accurate long-horizon vessel trajectory prediction remains challenging due to compounded uncertainty from complex navigation behaviors and environmental factors. Existing methods...
arXiv:2601.18543v1 Announce Type: new Abstract: We introduce GenAgent, unifying visual understanding and generation through an agentic multimodal model. Unlike unified models that face expensive training...
arXiv:2601.18546v1 Announce Type: new Abstract: Second-order information -- such as curvature or data covariance -- is critical for optimisation, diagnostics, and robustness. However, in many...
arXiv:2601.18547v1 Announce Type: new Abstract: To expedite space exploration on Mars, it is indispensable to develop an efficient Martian image compression method for transmitting images...
arXiv:2601.18548v2 Announce Type: new Abstract: Mobile manipulators promise agile, long-horizon behavior by coordinating base and arm motion, yet whole-body trajectory optimization in cluttered, confined spaces...
arXiv:2601.18552v1 Announce Type: new Abstract: LLMs are increasingly embedded in everyday decision-making, yet their outputs can encode subtle, unintended behaviours that shape user beliefs and...
arXiv:2601.18554v1 Announce Type: new Abstract: Reliably ensuring Large Language Models (LLMs) follow complex instructions is a critical challenge, as existing benchmarks often fail to reflect...
arXiv:2601.18555v1 Announce Type: new Abstract: Many clinical screening decisions are based on angle measurements. In particular, FemoroAcetabular Impingement (FAI) screening relies on angles traditionally measured...
arXiv:2601.18556v1 Announce Type: new Abstract: In biomedical engineering, artificial intelligence has become a pivotal tool for enhancing medical diagnostics, particularly in medical image classification tasks...
arXiv:2601.18558v1 Announce Type: new Abstract: In the context of integrated sensing and communications (ISAC), this paper presents an experimental investigation of the relationship between monostatic...