Data Efficient Adaptation in Large Language Models via Continuous Low-Rank Fine-Tuning

Documenti analoghi

• MetaLoRA: Tensor-Enhanced Adaptive Low-Rank Fine-tuning
  di: Wang, Maolin, et al.
  Pubblicazione: (2025)
• Curriculum Learning for Efficient Chain-of-Thought Distillation via Structure-Aware Masking and GRPO
  di: Yu, Bowen, et al.
  Pubblicazione: (2026)
• SIGMA: Selective Gated Mamba for Sequential Recommendation
  di: Liu, Ziwei, et al.
  Pubblicazione: (2024)
• RoSA: Enhancing Parameter-Efficient Fine-Tuning via RoPE-aware Selective Adaptation in Large Language Models
  di: Pan, Dayan, et al.
  Pubblicazione: (2025)
• Computational Limits of Low-Rank Adaptation (LoRA) Fine-Tuning for Transformer Models
  di: Hu, Jerry Yao-Chieh, et al.
  Pubblicazione: (2024)