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arXiv:2602.13320v1 Announce Type: new Abstract: As AI agents powered by large language models (LLMs) increasingly use external tools for high-stakes decisions, a critical reliability question …
arXiv:2602.13321v1 Announce Type: new Abstract: Detecting jailbreak attempts in clinical training large language models (LLMs) requires accurate modeling of linguistic deviations that signal unsafe or …
arXiv:2602.13323v1 Announce Type: new Abstract: The ability of autonomous systems to provide explanations is important for supporting transparency and aiding the development of (appropriate) trust. …
arXiv:2602.13367v1 Announce Type: new Abstract: We present Nanbeige4.1-3B, a unified generalist language model that simultaneously achieves strong agentic behavior, code generation, and general reasoning with …
arXiv:2602.13372v1 Announce Type: new Abstract: Evaluating moral alignment in agents navigating conflicting, hierarchically structured human norms is a critical challenge at the intersection of AI …
arXiv:2602.13407v1 Announce Type: new Abstract: Large reasoning models (LRMs) are commonly trained with reinforcement learning (RL) to explore long chain-of-thought reasoning, achieving strong performance at …
arXiv:2602.13473v1 Announce Type: new Abstract: Although foundation models have demonstrated remarkable success in general domains, the application of these models to electroencephalography (EEG) analysis is …
arXiv:2602.13477v1 Announce Type: new Abstract: As Large Language Model (LLM) agents become more capable, their coordinated use in the form of multi-agent systems is anticipated …
arXiv:2602.13502v1 Announce Type: new Abstract: An important goal for personalized diet systems is to improve nutritional quality without compromising convenience or affordability. We present an …
arXiv:2602.13516v1 Announce Type: new Abstract: LLM-powered agents are beginning to automate user's tasks across the open web, often with access to user resources such as …
arXiv:2602.13530v1 Announce Type: new Abstract: Humans excel at remembering concrete experiences along spatiotemporal contexts and performing reasoning across those events, i.e., the capacity for episodic …
arXiv:2602.13559v1 Announce Type: new Abstract: To fulfill user instructions, autonomous web agents must contend with the inherent complexity and volatile nature of real-world websites. Conventional …