This work proposes VoxPolyMem, an interaction-aware multimodal memory framework combining incremental speaker identification with a memory hierarchy comprising interaction memory, fact memory, and participant profiles, and introduces Evidence-Gain GRPO (EG-GRPO), which uses round-wise credit assignment to encourage com...
Wen-Xu Jia, Xi-Ze Cheng, Zi-Han Zhang et al.· 0 citations
Long-context understanding remains a fundamental challenge for large language models, as excessively long inputs often lead models to forget salient information. This issue is even more pronounced in the speech domain, where audio, as a low-compression modality, requires substantially more embeddings than text to prese...
While large audio-language models have achieved remarkable progress in auditory perception, they still lag behind text-based large language models in deep logical reasoning, primarily due to the scarcity of high-quality audio reasoning data. To bridge this gap, we propose X$^3$-OPD, a cross-modal on-policy distillation...
Dongjie Fu, Di Cao, Xize Cheng et al.· arXiv.org· 2 citations
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