Calibrate the Decisions That Change the Future: On-Policy Post-Training Quantization for Multimodal Large Language Models.

arXiv:2609.36828v1 Announce Type: new Abstract: Post-training quantization (PTQ) lowers deployment cost for multimodal large language models, but calibration typically reconstructs fixed sequences with local objectives. This overlooks autoregressive feedback: