MVPBench: A Benchmark and Fine-Tuning Framework for Aligning Large Language Models with Diverse Human Values

Documenti analoghi

• C-VARC: A Large-Scale Chinese Value Rule Corpus for Value Alignment of Large Language Models
  di: Wu, Ping, et al.
  Pubblicazione: (2025)
• Multi-Level Safety Continual Projection for Fine-Tuned Large Language Models without Retraining
  di: Han, Bing, et al.
  Pubblicazione: (2025)
• StressPrompt: Does Stress Impact Large Language Models and Human Performance Similarly?
  di: Shen, Guobin, et al.
  Pubblicazione: (2024)
• TriAdaptLoRA: Brain-Inspired Triangular Adaptive Low-Rank Adaptation for Parameter-Efficient Fine-Tuning
  di: Liang, Yao, et al.
  Pubblicazione: (2025)
• Harnessing Task Overload for Scalable Jailbreak Attacks on Large Language Models
  di: Dong, Yiting, et al.
  Pubblicazione: (2024)