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A dispute has arisen over Rio 3.5 Open 397B, with Nex-AGI claiming it is a blend of their model and Qwen, not independently trained; evidence includes model identity and weight matching.
This paper introduces BlendIn, an inference-time alignment framework that uses probabilistic model blending to assess guidance reliability and proportionally weight model contributions, achieving up to 50% performance improvement by avoiding harmful interventions.