Text-Centric Post-Training for Omni-Modal Reasoning
Improving joint audio-visual reasoning in Omni Large Language Models typically incurs substantial data construction and training costs. Our diagnostics reveal multi-hop reasoning difficulties despite correct answers to all corresponding single-hop questions and suggest partial decoupling in the…
By Ziyang Cheng, Yuhao Wang, Hongcheng Liu, Qimin Wu, Jingru Fan, Chen Qian, Yanfeng Wang, Yu WangarXiv - cs.CL (NLP)
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Originally published by arXiv - cs.CL (NLP) on Oct 5, 2026.
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