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quant-ph2025
Practical Hybrid Quantum Language Models with Observable Readout on Real Hardware
Stefan Balauca, Ada-Astrid Balauca, Adrian Iftene
Hybrid quantum-classical models represent a crucial step toward leveraging near-term quantum devices for sequential data processing. We present Quantum Recurrent Neural Networks (Q…
cs.LG2025
MixAT: Combining Continuous and Discrete Adversarial Training for LLMs
Csaba Dékány, Stefan Balauca, Robin Staab +2
Despite recent efforts in Large Language Model (LLM) safety and alignment, current adversarial attacks on frontier LLMs can still consistently force harmful generations. Although a…