SymptomWise: A Deterministic Reasoning Layer for Reliable and Efficient AI Systems
arXiv:2604.06375v1 Announce Type: new Abstract: AIdriven symptom analysis systems face persistent challenges in reliability, interpretability, and hallucination.
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arXiv:2604.06375v1 Announce Type: new Abstract: AIdriven symptom analysis systems face persistent challenges in reliability, interpretability, and hallucination.
arXiv:2604.06389v1 Announce Type: new Abstract: Uncertainty estimation for reasoning language models remains difficult to deploy in practice: samplingbased methods are computationally expensive, while common singlepass proxies such as verbalized confidence or trace length are often inconsistent...
arXiv:2604.06392v1 Announce Type: new Abstract: We present Qualixar OS, the first applicationlayer operating system for universal AI agent orchestration.
arXiv:2604.06401v1 Announce Type: new Abstract: The large language models LLMs might produce a persuasive argument within mathematical and logical fields, although such argument often includes some minor missteps, including the entire omission of side conditions, invalid inference patterns, or...
arXiv:2604.06405v1 Announce Type: new Abstract: Data harmonization remains a major bottleneck for integrative analysis due to heterogeneity in schemas, value representations, and domainspecific conventions. BDIKit provides an extensible toolkit for schema and value matching.
arXiv:2604.06562v1 Announce Type: new Abstract: Small language models SLM are increasingly used as interactive decisionmaking agents, yet most decisionoriented evaluations ignore emotion as a causal factor influencing behavior.
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