2 citations · 5 across the 10 of their papers we have counts for
11 papers
Beyond Retrieval: Learning Compact User Representations for Scalable LLM Personalization
Heng Cao, Fan Zhang, Jian Yao +8
Personalizing large language models requires adapting model behavior to individual users while preserving robustness and deployment-scale efficiency. Existing approaches typically…
Design Techniques for LLM-Powered Interactive Storytelling: A Case Study of the Dramamancer System
Tiffany Wang, Yuqian Sun, Yi Wang +3
The rise of Large Language Models (LLMs) has enabled a new paradigm for bridging authorial intent and player agency in interactive narrative. We consider this paradigm through the…
Elsewise: Authoring Open-ended Interactive Narrative with Possibility Space Visualization
Yi Wang, John Joon Young Chung, Melissa Roemmele +6
Interactive narrative (IN) authors craft spaces of divergent narrative possibilities for players to explore, with the player's input determining which narrative possibilities they…
LiteraryTaste: A Preference Dataset for Creative Writing Personalization
John Joon Young Chung, Vishakh Padmakumar, Melissa Roemmele +7
People have different creative writing preferences, and large language models (LLMs) for these tasks can benefit from adapting to each user's preferences. However, these models are…
LLMs Behind the Scenes: Enabling Narrative Scene Illustration
Melissa Roemmele, John Joon Young Chung, Taewook Kim +3
Generative AI has established the opportunity to readily transform content from one medium to another. This capability is especially powerful for storytelling, where visual illustr…
Scaffolding Recursive Divergence and Convergence in Story Ideation
Taewook Kim, Matthew Kay, Yuqian Sun +3
Human creative ideation involves both exploration of diverse ideas (divergence) and selective synthesis of explored ideas into coherent combinations (convergence). While processes…
Modifying Large Language Model Post-Training for Diverse Creative Writing
John Joon Young Chung, Vishakh Padmakumar, Melissa Roemmele +2
As creative writing tasks do not have singular correct answers, large language models (LLMs) trained to perform these tasks should be able to generate diverse valid outputs. Howeve…
Phraselette: A Poet's Procedural Palette
Alex Calderwood, John Joon Young Chung, Yuqian Sun +2
According to the recently introduced theory of artistic support tools, creativity support tools exert normative influences over artistic production, instantiating a normative groun…
Fuzzy Linkography: Automatic Graphical Summarization of Creative Activity Traces
Amy Smith, Barrett R. Anderson, Jasmine Tan Otto +5
Linkography -- the analysis of links between the design moves that make up an episode of creative ideation or design -- can be used for both visual and quantitative assessment of c…
Between Puppet and Actor: Reframing Authorship in this Age of AI Agents
Yuqian Sun, Stefano Gualeni
This chapter examines the conceptual tensions in understanding artificial intelligence (AI) agents' role in creative processes, particularly focusing on Large Language Models (LLMs…
Drama Llama: An LLM-Powered Storylets Framework for Authorable Responsiveness in Interactive Narrative
Yuqian Sun, Phoebe J. Wang, John Joon Young Chung +3
In this paper, we present Drama Llama, an LLM-powered storylets framework that supports the authoring of responsive, open-ended interactive stories. DL combines the structural bene…