2 citations · 2 across the 4 of their papers we have counts for
4 papers
EmoStance: Response-Side Affective-Orientation Control for Empathetic Response Generation via Emoji Weak Supervision
Ziyuan Jin, Yuxuan Ge, Zheng Tian
Empathetic response generation requires models to decide not only what to say, but also how to respond to the previous speaker's affective situation. We formulate this as response-…
Children's Intelligence Tests Pose Challenges for MLLMs? KidGym: A 2D Grid-Based Reasoning Benchmark for MLLMs
Hengwei Ye, Yuanting Guan, Yuxuan Ge +7
Multimodal Large Language Models (MLLMs) combine the linguistic strengths of LLMs with the ability to process multimodal data, enbaling them to address a broader range of visual ta…
S2DM: Sector-Shaped Diffusion Models for Video Generation
Haoran Lang, Yuxuan Ge, Zheng Tian
Diffusion models have achieved great success in image generation. However, when leveraging this idea for video generation, we face significant challenges in maintaining the consist…
Tri-Modal Motion Retrieval by Learning a Joint Embedding Space
Kangning Yin, Shihao Zou, Yuxuan Ge +1
Information retrieval is an ever-evolving and crucial research domain. The substantial demand for high-quality human motion data especially in online acquirement has led to a surge…