arXiv Artificial IntelligenceNeurosymbolic Alignment for Physiologically-Safe Clinical Language Models
arXiv:2608.24534v1 Announce Type: new Abstract: Clinical LLMs can generate recommendations that are factually…
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arXiv Artificial IntelligencearXiv:2608.24534v1 Announce Type: new Abstract: Clinical LLMs can generate recommendations that are factually…
arXiv Artificial IntelligencearXiv:2608.24509v1 Announce Type: new Abstract: LLM agents increasingly solve tasks by invoking multiple…
arXiv Artificial IntelligencearXiv:2608.24471v1 Announce Type: new Abstract: Maritime moving-target observation scheduling with agile…
arXiv Artificial IntelligencearXiv:2608.24470v1 Announce Type: new Abstract: Heterogeneous agile Earth observation satellite (AEOS)…
arXiv Artificial IntelligencearXiv:2608.24467v1 Announce Type: new Abstract: Although recent Multimodal Large Language Models (MLLMs) have…
arXiv Artificial IntelligencearXiv:2608.24462v1 Announce Type: new Abstract: In this paper, we propose \textbf{Mahalanobis-Based…
arXiv Artificial IntelligencearXiv:2608.24427v1 Announce Type: new Abstract: Non-parametric (partial) identification of counterfactual…
arXiv Artificial IntelligencearXiv:2608.24419v1 Announce Type: new Abstract: LLM-as-a-judge evaluation is usually assessed by agreement…
arXiv Artificial IntelligencearXiv:2608.24411v1 Announce Type: new Abstract: The efficiency of Large Language Model (LLM) serving is…
arXiv Artificial IntelligencearXiv:2608.24369v1 Announce Type: new Abstract: While large language models (LLMs) possess vast zero-shot…
arXiv Artificial IntelligencearXiv:2608.24361v1 Announce Type: new Abstract: Multi-agent LLM systems are increasingly deployed in…
arXiv Artificial IntelligencearXiv:2608.24358v1 Announce Type: new Abstract: Coding agents perform long-running tasks spanning dozens of…