The DecoderT2·68 pts
- EditAgent decomposes editing into sub-steps, combining a general editor with specialized tools like sharpening or zooming.
- A standard LLM evaluates results using measured statistics and close-up crops, outperforming task-specific evaluation models.
- Achieves higher accuracy than previous agents but requires ~10x compute; verified outputs serve as training data for faster models.