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Aggressive 4-bit quantization can cripple MLLM performance, but a novel residual reconstruction technique recovers lost capabilities with minimal overhead.
Distinguishing between AI-generated content and human expression can improve detection accuracy by over 6% in mixed-origin text scenarios.
