Antzeko izenburuak

• Pruning as a Defense: Reducing Memorization in Large Language Models
  nork: Gupta, Mansi, et al.
  Argitaratua: (2025)
• Impacts of floating-point non-associativity on reproducibility for HPC and deep learning applications
  nork: Shanmugavelu, Sanjif, et al.
  Argitaratua: (2024)
• Robustness of deep learning classification to adversarial input on GPUs: asynchronous parallel accumulation is a source of vulnerability
  nork: Shanmugavelu, Sanjif, et al.
  Argitaratua: (2025)
• GUARD: Guided Unlearning and Retention via Data Attribution for Large Language Models
  nork: Niu, Peizhi, et al.
  Argitaratua: (2025)
• FS-DFM: Fast and Accurate Long Text Generation with Few-Step Diffusion Language Models
  nork: Monsefi, Amin Karimi, et al.
  Argitaratua: (2025)