ChatUMM: Robust Context Tracking for Conversational Interleaved Generation 事件

ChatUMM: Robust Context Tracking for Conversational Interleaved Generation arXiv:2602.06442v2 Announce Type: replace Abstract: Unified multimodal models (UMMs) have achieved remarkable progress yet remain constrained by a single-turn interaction paradigm, effectively functioning as solvers for independent requests rather than assistants in continuous dialogue. To bridge this gap, we present ChatUMM. As a conversational unified model, it excels at robust context tracking to sustain interleaved m