| title | Dual-Loop Cognitive Controller |
|---|---|
| emoji | 🧠 |
| colorFrom | indigo |
| colorTo | green |
| sdk | gradio |
| sdk_version | 5.20.0 |
| app_file | app.py |
| pinned | false |
| license | mit |
| short_description | Latent Deliberation & Memory Architecture for LLMs |
| models |
This Hugging Face Space demonstrates the Dual-Loop Cognitive Controller on Qwen/Qwen3.5-2B (
-
Zero-Token Latent Deliberation (System 2): Recursively ponders in continuous latent space (
$h \in \mathbb{R}^D$ ) inside GPU SRAM without emitting intermediate CoT tokens. - Cognitive Matrix Helper (Tversky Elimination-by-Aspects): Automatically prunes 40%–57% superficial distractor options (wrong logs) in Bench 1 and focuses System 2 deliberation in Bench 2, boosting accuracy from 50.0% to 83.3%.
- Hippocampal Episodic Virtual Memory: Recalls previously verified reasoning traces in <0.01 seconds (3,146x speedup) with 0 FLOPs.
Visit the GitHub Repository or PyPI Package.
