activity
20232026
most citedBianQue: Balancing the Questioning and Suggestion Ability of Health LLMs with Multi-turn Health Conversations Polished by ChatGPT

24 citations · 27 across the 7 of their papers we have counts for

collaborators

7 papers

cs.CV2026

Weakly Supervised Incremental Segmentation via Semantic Anchors and Spatial Arbitration

Zhonggai Wang, Kai Fang, Guangyu Gao

Weakly Incremental Learning for Semantic Segmentation (WILSS) suffers from the continuous introduction of noisy supervision, which progressively corrupts class-level representation…

cs.CL2026★ 1 cited

MiMo-V2-Flash Technical Report

Core Team, Bangjun Xiao, Bingquan Xia +123

We present MiMo-V2-Flash, a Mixture-of-Experts (MoE) model with 309B total parameters and 15B active parameters, designed for fast, strong reasoning and agentic capabilities. MiMo-…

cs.CL2025★ 2 cited

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…

cs.CL2025

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…

cs.IR2025

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…

cs.CV2025

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…

cs.CL2023★ 24 cited

BianQue: Balancing the Questioning and Suggestion Ability of Health LLMs with Multi-turn Health Conversations Polished by ChatGPT

Yirong Chen, Zhenyu Wang, Xiaofen Xing +8

Large language models (LLMs) have performed well in providing general and extensive health suggestions in single-turn conversations, exemplified by systems such as ChatGPT, ChatGLM…