activity
20232025
most citedThe Importance of Multimodal Emotion Conditioning and Affect Consistency for Embodied Conversational Agents

14 citations · 25 across the 4 of their papers we have counts for

collaborators

5 papers

cs.CV2025

Large Sign Language Models: Toward 3D American Sign Language Translation

Sen Zhang, Xiaoxiao He, Di Liu +7

We present Large Sign Language Models (LSLM), a novel framework for translating 3D American Sign Language (ASL) by leveraging Large Language Models (LLMs) as the backbone, which ca…

cs.CL2025

Cardiverse: Harnessing LLMs for Novel Card Game Prototyping

Danrui Li, Sen Zhang, Sam S. Sohn +3

The prototyping of computer games, particularly card games, requires extensive human effort in creative ideation and gameplay evaluation. Recent advances in Large Language Models (…

cs.CL2024

From Words to Worlds: Transforming One-line Prompt into Immersive Multi-modal Digital Stories with Communicative LLM Agent

Samuel S. Sohn, Danrui Li, Sen Zhang +2

Digital storytelling, essential in entertainment, education, and marketing, faces challenges in production scalability and flexibility. The StoryAgent framework, introduced in this…

cs.HC2023★ 14 cited

The Importance of Multimodal Emotion Conditioning and Affect Consistency for Embodied Conversational Agents

Che-Jui Chang, Samuel S. Sohn, Sen Zhang +3

Previous studies regarding the perception of emotions for embodied virtual agents have shown the effectiveness of using virtual characters in conveying emotions through interaction…

cs.SD2023★ 11 cited

Robust Audio Anti-Spoofing with Fusion-Reconstruction Learning on Multi-Order Spectrograms

Penghui Wen, Kun Hu, Wenxi Yue +3

Robust audio anti-spoofing has been increasingly challenging due to the recent advancements on deepfake techniques. While spectrograms have demonstrated their capability for anti-s…