arXiv:2605.02087v1 Announce Type: new
Abstract: Some frontier AI developers aim to align language models to a Model Spec or Constitution that describes the intended model behavior. However, standard alignment fine-tuning — training on demonstrations …
arXiv:2605.02024v1 Announce Type: new
Abstract: In Dung-style abstract argumentation, various semantics capture notions of acceptability of arguments. The admissibility semantics capture the notion that an argument can be consistently defended from an…
arXiv:2605.02010v1 Announce Type: new
Abstract: This position paper argues that reliable AI requires infrastructure for human validation of implicit knowledge. AI learns from both explicit knowledge (papers, documentation, structured databases) and im…
arXiv:2605.02004v1 Announce Type: new
Abstract: Personalized models are essential in digital health because individuals exhibit substantial physiological and behavioral heterogeneity. Yet personalization is limited by scarce and noisy user-specific da…
arXiv:2507.22268v3 Announce Type: replace-cross
Abstract: We study the problem of inferring substitutable and complementary items, which underpins applications such as alternative and follow-up purchase suggestions. Existing approaches typically learn…
arXiv:2605.01999v1 Announce Type: new
Abstract: Classifying brain tumors using magnetic resonance imaging (MRI) is crucial for early diagnosis and treatment; however, tumor heterogeneity and a dearth of annotated datasets restrict the use of supervise…
arXiv:2605.01986v1 Announce Type: new
Abstract: What if the twelve jurors of Sidney Lumet’s 12 Angry Men (1957) were not men, but large language models? Would the one juror who disagrees still be able to change everyone’s mind? This paper instantiates…
arXiv:2605.01899v1 Announce Type: new
Abstract: The growing capabilities of large language models (LLMs) have driven their widespread deployment across diverse domains, even in potentially high-risk scenarios. Despite advances in safety alignment tech…
arXiv:2605.01892v1 Announce Type: new
Abstract: European financial institutions face mounting regulatory pressure while their security operations centres remain constrained not by data or staffing but by reasoning capacity: enterprise SIEMs cover only…
arXiv:2605.01879v1 Announce Type: new
Abstract: The challenge of engineering autonomous agents capable of navigating the stochastic and adversarial nature of the physical world has historically resided at the intersection of symbolic logic and control…