Selected Languages are All You Need for Cross-lingual Truthfulness Transfer

Documenti analoghi

• MuDAF: Long-Context Multi-Document Attention Focusing through Contrastive Learning on Attention Heads
  di: Liu, Weihao, et al.
  Pubblicazione: (2025)
• Quantifying and Improving the Robustness of Retrieval-Augmented Language Models Against Spurious Features in Grounding Data
  di: Yang, Shiping, et al.
  Pubblicazione: (2025)
• Is Bigger and Deeper Always Better? Probing LLaMA Across Scales and Layers
  di: Chen, Nuo, et al.
  Pubblicazione: (2023)
• Not All Attention is Needed: Parameter and Computation Efficient Transfer Learning for Multi-modal Large Language Models
  di: Wu, Qiong, et al.
  Pubblicazione: (2024)
• Language Fusion for Parameter-Efficient Cross-lingual Transfer
  di: Borchert, Philipp, et al.
  Pubblicazione: (2025)