When the Pure Reasoner Meets the Impossible Object: Analytic vs. Synthetic Fine-Tuning and the Suppression of Genesis in Language Models

Documenti analoghi

• Advancing Speech Language Models by Scaling Supervised Fine-Tuning with Over 60,000 Hours of Synthetic Speech Dialogue Data
  di: Zhao, Shuaijiang, et al.
  Pubblicazione: (2024)
• Diverse and Fine-Grained Instruction-Following Ability Exploration with Synthetic Data
  di: Gu, Zihui, et al.
  Pubblicazione: (2024)
• From Scratch to Fine-Tuned: A Comparative Study of Transformer Training Strategies for Legal Machine Translation
  di: Barman, Amit, et al.
  Pubblicazione: (2025)
• From Data to Commonsense Reasoning: The Use of Large Language Models for Explainable AI
  di: Krause, Stefanie, et al.
  Pubblicazione: (2024)
• Can Good Writing Be Generative? Expert-Level AI Writing Emerges through Fine-Tuning on High-Quality Books
  di: Chakrabarty, Tuhin, et al.
  Pubblicazione: (2026)