3 papers
cs.CL2024
HoLLMwood: Unleashing the Creativity of Large Language Models in Screenwriting via Role Playing
Jing Chen, Xinyu Zhu, Cheng Yang +8
Generative AI has demonstrated unprecedented creativity in the field of computer vision, yet such phenomena have not been observed in natural language processing. In particular, la…
cs.HC2024
ContextVis: Envision Contextual Learning and Interaction with Generative Models
Bo Shui, Chufan Shi, Yujiu Yang +1
ContextVis introduces a workflow by integrating generative models to create contextual learning materials. It aims to boost knowledge acquisition through the creation of resources…
cs.CL2024
LiFi: Lightweight Controlled Text Generation with Fine-Grained Control Codes
Chufan Shi, Deng Cai, Yujiu Yang
In the rapidly evolving field of text generation, the demand for more precise control mechanisms has become increasingly apparent. To address this need, we present a novel methodol…