One Jump Is All You Need: Short-Cutting Transformers for Early Exit Prediction with One Jump to Fit All Exit Levels

Documenti analoghi

• Normalized Narrow Jump To Conclusions: Normalized Narrow Shortcuts for Parameter Efficient Early Exit Transformer Prediction
  di: Seshadri, Amrit Diggavi
  Pubblicazione: (2024)
• All You Need is One: Capsule Prompt Tuning with a Single Vector
  di: Liu, Yiyang, et al.
  Pubblicazione: (2025)
• Pipeline Parallelism is All You Need for Optimized Early-Exit Based Self-Speculative Decoding
  di: Li, Ruanjun, et al.
  Pubblicazione: (2025)
• Dynamic Vocabulary Pruning in Early-Exit LLMs
  di: Vincenti, Jort, et al.
  Pubblicazione: (2024)
• No One Size Fits All: QueryBandits for Hallucination Mitigation
  di: Cho, Nicole, et al.
  Pubblicazione: (2026)