24 citations · 27 across the 7 of their papers we have counts for
4 papers · 1 filter
MiMo-Audio: Audio Language Models are Few-Shot Learners
Core Team, Dong Zhang, Gang Wang +97
Existing audio language models typically rely on task-specific fine-tuning to accomplish particular audio tasks. In contrast, humans are able to generalize to new audio tasks with…
MiMo-VL Technical Report
Core Team, Zihao Yue, Zhenru Lin +71
We open-source MiMo-VL-7B-SFT and MiMo-VL-7B-RL, two powerful vision-language models delivering state-of-the-art performance in both general visual understanding and multimodal rea…
Towards Transfer-Efficient Multi-modal Sequential Recommendation with State Space Duality
Hao Fan, Qingyang Liu, Hongjiu Liu +2
Sequential Recommendation (SR) models infer user preferences from interaction histories. While transferable Multi-modal SR models outperform traditional ID-based approaches, existi…
CoMBO: Conflict Mitigation via Branched Optimization for Class Incremental Segmentation
Kai Fang, Anqi Zhang, Guangyu Gao +3
Effective Class Incremental Segmentation (CIS) requires simultaneously mitigating catastrophic forgetting and ensuring sufficient plasticity to integrate new classes. The inherent…