When Forgetting Builds Reliability: LLM Unlearning for Reliable Hardware Code Generation

Documenti analoghi

• Unicorn-CIM: Uncovering the Vulnerability and Improving the Resilience of High-Precision Compute-in-Memory
  di: Li, Qiufeng, et al.
  Pubblicazione: (2025)
• Hardware-Aware Neural Dropout Search for Reliable Uncertainty Prediction on FPGA
  di: Zhang, Zehuan, et al.
  Pubblicazione: (2024)
• When Small Variations Become Big Failures: Reliability Challenges in Compute-in-Memory Neural Accelerators
  di: Qin, Yifan, et al.
  Pubblicazione: (2026)
• AnalogGenie: A Generative Engine for Automatic Discovery of Analog Circuit Topologies
  di: Gao, Jian, et al.
  Pubblicazione: (2025)
• LLM4DV: Using Large Language Models for Hardware Test Stimuli Generation
  di: Zhang, Zixi, et al.
  Pubblicazione: (2023)