Hybrid LSTM-QCBM model outperforms classical LSTM on SSE Composite and CSI 300 volatility forecasting and supports quantum-assisted training followed by fully classical inference.
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A systematic survey of 93 studies that maps the bidirectional relationship between metamorphic testing and LLMs, proposing a taxonomy for MT applied to LLMs and LLMs applied to MT.
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A Hybrid Quantum-Classical Framework for Financial Volatility Forecasting Based on Quantum Circuit Born Machines
Hybrid LSTM-QCBM model outperforms classical LSTM on SSE Composite and CSI 300 volatility forecasting and supports quantum-assisted training followed by fully classical inference.
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Bidirectional Empowerment of Metamorphic Testing and Large Language Models: A Systematic Survey
A systematic survey of 93 studies that maps the bidirectional relationship between metamorphic testing and LLMs, proposing a taxonomy for MT applied to LLMs and LLMs applied to MT.