Application-Driven Pedagogical Knowledge Optimization of Open-Source LLMs via Reinforcement Learning and Supervised Fine-Tuning

Documenti analoghi

• State-of-the-Art Arabic Language Modeling with Sparse MoE Fine-Tuning and Chain-of-Thought Distillation
  di: Singh, Navan Preet, et al.
  Pubblicazione: (2026)
• OpenMedLM: Prompt engineering can out-perform fine-tuning in medical question-answering with open-source large language models
  di: Maharjan, Jenish, et al.
  Pubblicazione: (2024)
• AdaDPO: Self-Adaptive Direct Preference Optimization with Balanced Gradient Updates
  di: Chen, Shaolong, et al.
  Pubblicazione: (2026)
• Narrowing the Gap: Supervised Fine-Tuning of Open-Source LLMs as a Viable Alternative to Proprietary Models for Pedagogical Tools
  di: Solano, Lorenzo Lee, et al.
  Pubblicazione: (2025)
• Towards Pedagogical LLMs with Supervised Fine Tuning for Computing Education
  di: Vassar, Alexandra, et al.
  Pubblicazione: (2024)