Emotion Prediction in Conversation Based on Relationship Extraction. - Yingjian Liu; Xiaoping Wang 001; Shanglin Lei (CBS, 2023)

Watch the Speakers: A Hybrid Continuous Attribution Network for Emotion Recognition in Conversation With Emotion Disentanglement. - Shanglin Lei; Xiaoping Wang 001; Guanting Dong; Jiang Li 004; Yingjian Liu (ICTAI, 2023)

InstructERC: Reforming Emotion Recognition in Conversation with a Retrieval Multi-task LLMs Framework. - Shanglin Lei; Guanting Dong; Xiaoping Wang 001; Keheng Wang; Sirui Wang (CoRR, 2023)

Towards Robust and Generalizable Training: An Empirical Study of Noisy Slot Filling for Input Perturbations. - Jiachi Liu; Liwen Wang; Guanting Dong; Xiaoshuai Song; Zechen Wang; Zhengyang Wang; Shanglin Lei; Jinzheng Zhao; Keqing He 001; Bo Xiao; Weiran Xu (CoRR, 2023)

We-Math: Does Your Large Multimodal Model Achieve Human-like Mathematical Reasoning? - Runqi Qiao; Qiuna Tan; Guanting Dong; Minhui Wu; Chong Sun; Xiaoshuai Song; Zhuoma Gongque; Shanglin Lei; Zhe Wei; Miaoxuan Zhang; Runfeng Qiao; Yifan Zhang; et al. (CoRR, 2024)

Multi-Dimensional Insights: Benchmarking Real-World Personalization in Large Multimodal Models. - Yifan Zhang; Shanglin Lei; Runqi Qiao; Zhuoma Gongque; Xiaoshuai Song; Guanting Dong; Qiuna Tan; Zhe Wei; Peiqing Yang 003; Ye Tian; Yadong Xue; Xiaofei Wang; et al. (CoRR, 2024)

We-Math: Does Your Large Multimodal Model Achieve Human-like Mathematical Reasoning? - Runqi Qiao; Qiuna Tan; Guanting Dong; Minhui Wu; Chong Sun; Xiaoshuai Song; Jiapeng Wang; Zhuoma Gongque; Shanglin Lei; Yifan Zhang; Zhe Wei; Miaoxuan Zhang; et al. (ACL (1), 2025)