---
title: Dialectical Transition Operator v2
emoji: 🔁
colorFrom: indigo
colorTo: gray
sdk: gradio
sdk_version: 5.50.0
app_file: app.py
pinned: false
short_description: Iterative answer+critique self-improvement (graded RL)
---

# 🔁 Dialectical Transition Operator · v2

An interactive demo of a **self-improvement operator**. Given a **question**, a starting **answer**, and
**three critiques** of that answer, the model produces a **revised answer** and **three fresh critiques**.
Copy the output back into the input and generate again to **iteratively deepen** the answer.

**Model:** Qwen3-8B + two stacked LoRA adapters — a frozen *SFT-voice* adapter and an *RL* adapter trained
with GRPO / set-VPO under a **graded (−3…+3) self-referential** judge: the operator is rewarded only for a
revision that better addresses the critique than the answer it came from — never against an external answer.
The RL adapter tracks the latest checkpoint of the v2 (graded-reward) run.

⚠️ **Research demo.** It showcases an iterative self-critique mechanism; it is **not** a reliable source of
facts and can produce incorrect or fabricated content.