60K Topic-Aligned C-PMT Global Controller (Weighted Cross Entropy Edition)

This controller is trained across the full 60K EFCAMDAT corpus using Topic-Aligned Prompts and Weighted Cross-Entropy Loss.

Experimental Setup

  1. Topic Alignment: Incorporates topic_title directly into the prompt context, allowing the base LLM to handle semantics while the C-PMT controller isolates structural CEFR steering.
  2. Blind Level Control: The prompt text contains no target CEFR text string. Control is enforced exclusively via the continuous cefr_id architectural knob.
  3. Loss Function: Sequence-level Weighted Cross-Entropy (WCE) loss to balance gradient flow across minority classes (C1/C2).
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