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2,658 papers
Neurocritical care focuses on patients with actual or impending organ dysfunction that arises from, or accompanies, primary or secondary neurological injury and necessitates intensive care (1). As a subspecialty, neurocritical care continues to face unresolved and controversial questions in both clinical practice and r...
A leak-aware cross-dataset evaluation framework is presented to examine the robustness of classical machine learning and Transformer-based prompt injection detection models in the face of data source changes, and shows that internal validation results are not enough for prompt injection detection.
Large language model (LLM)-based artificial intelligence is increasingly used in ethically consequential human decision-making, yet fully autonomous machine ethics remains unrealistic, motivating architectures that support rather than replace human ethical judgment. This study introduces the Cognitive–Reflective Equili...
Organisations collect large amounts of safety data concerning safety events. However, many organisations are still in their infancy in this regard, especially when it comes to utilising large datasets containing textual safety data to support their safety management. Fast-developing Artificial Intelligence (AI) and mac...
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This experiment exposes an extremely fruitful usage pattern for AI in science: translating results between different communities and application domains, accelerating the process by which serendipitous discoveries in a field become paradigm-shifting breakthroughs in another.
This exploratory study aims to investigate how humans and CLLMs can collaborate as peers through vibe coding, an approach that integrates principles from prompt engineering, agile design, and human-AI co-creation to enhance collaboration.
Threshold and judge diagnostics further clarify the limits of interpreting realization as precise anticipation and provides a common task for studying which research ideas a community subsequently pursues and how reliably this outcome can be measured.
TRIAGE, a three-level routing framework that reduces token consumption by reusing historical execution trajectories, and proposes an automatic Skill extraction mechanism that distills high-frequency trajectory patterns into deterministic Skills, creating a positive feedback loop of the more you use it, the more efficie...
Whether large language models (LLMs) can design video coding tools, a highly challenging task due to the intricate algorithmic coupling of tool modifications, is explored, and two integration strategies are investigated: directly replacing them, and introducing the LLM-generated predictor as an additional prediction mo...
A disclosure gate conditioning information release on the companion agent's behaviour is answered, with a disclosure gate conditioning information release on the companion agent's behaviour: its state is a ladder of five ordered gates, merged onto three observable depth layers.
Embedded CITs (eCITs), which embed X and Z and apply an existing CIT to the resulting representations and to the resulting representations, are proposed and it is shown that sufficiency weakens to mean sufficiency when the embedded test targets conditional mean independence.
This work evaluates open-source coding LLMs under two semantic formalisms and two semantic shifts across Human-Written, LLM-Translated, and Fuzzer-Generated program splits, showing that LLMs lean on pre-training priors rather than systematically applying the given rules.
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