LLMs achieve only modest understanding of HMSC formal semantics at 52 percent accuracy, performing strongly on basic constructs but weakly on abstractions and traces.
AJOB Neu- roscience11(2), 88–95 (2020)
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Each tested LLM shows its own characteristic unreliability when engaging in repair during extended math-question dialogues.
Exploratory user study of 48 participants finds trade-offs in efficiency, contextual alignment, and social comfort when AI writing assistance varies along synchronous and visual dimensions.
A structured review of JSP 936 identifies eight challenge areas in operationalising AI assurance for UK Defence and concludes that further methods, guidance, and organisational capability are required.
Direct research on AI consciousness is intractable, so the field should prioritize studying perceived AI consciousness and its societal consequences.
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(How) Do Large Language Models Understand High-Level Message Sequence Charts?
LLMs achieve only modest understanding of HMSC formal semantics at 52 percent accuracy, performing strongly on basic constructs but weakly on abstractions and traces.
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Each tested LLM shows its own characteristic unreliability when engaging in repair during extended math-question dialogues.
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"It Felt a Bit Eerie": Exploring Humanlike Interactions During Collaborative Writing with an Artificial Agent
Exploratory user study of 48 participants finds trade-offs in efficiency, contextual alignment, and social comfort when AI writing assistance varies along synchronous and visual dimensions.
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AI Assurance in UK Defence: Challenges in Operationalising JSP 936
A structured review of JSP 936 identifies eight challenge areas in operationalising AI assurance for UK Defence and concludes that further methods, guidance, and organisational capability are required.
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AI and Consciousness: Shifting Focus Towards Tractable Questions
Direct research on AI consciousness is intractable, so the field should prioritize studying perceived AI consciousness and its societal consequences.