Robust LLM Performance Certification via Constrained Maximum Likelihood Estimation

Documenti analoghi

• Noisy but Valid: Robust Statistical Evaluation of LLMs with Imperfect Judges
  di: Feng, Chen, et al.
  Pubblicazione: (2026)
• BEFT: Bias-Efficient Fine-Tuning of Language Models in Low-Data Regimes
  di: Huang, Baichuan, et al.
  Pubblicazione: (2025)
• Adversarial Reinforcement Learning for Large Language Model Agent Safety
  di: Wang, Zizhao, et al.
  Pubblicazione: (2025)
• SelfPrompt: Autonomously Evaluating LLM Robustness via Domain-Constrained Knowledge Guidelines and Refined Adversarial Prompts
  di: Pei, Aihua, et al.
  Pubblicazione: (2024)
• Robustly Improving LLM Fairness in Realistic Settings via Interpretability
  di: Karvonen, Adam, et al.
  Pubblicazione: (2025)