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TrustMargin achieves better answer quality by resolving conflicts between parametric memory and retrieved evidence without any training overhead.
Turns out, you can cut critical errors in VLM-generated image editing instructions in half with a clever two-stage training pipeline, leading to SOTA editing performance.
