Yinghui He
As seen in:
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arXiv,
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ACS Publications
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Toward Skill-Native LLMs: Skill Entropy for Benchmarking and Training Long-Horizon Reasoning
Abstract Long-horizon reasoning in recent LLMs demands that the model switch between distinct skills inside a reasoning chain, such as first doing a math derivation, then using the result to plan a schedule. We call such problems cross-skill long-horizon tasks: multi-step tasks whose steps require different reasoning skills and depend on earlier outputs. Existing benchmarks often evaluate individual skills, lacking a principled way to measure how well a model switches between skills.
Computer Science > Artificial Intelligence
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A study on cable current detection for new energy charging stations based on TMR sensor arrays
Abstract Accurately measuring current in charging station cables is pivotal to the design, manufacturing, and operation of AC charging stations, as it directly dictates their performance, economic viability, and safety. Addressing this need, this paper designed a tunnel magneto-resistance (TMR) sensor array for the non-contact, real-time monitoring of current in new energy vehicle charging cables.
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