This half-day tutorial explores the intersection of linguistic diversity and creativity in the age of Large Language Models (LLMs). It provides attendees—who are not expected to have prior knowledge in computational creativity or psychometrics—with a comprehensive overview of how creativity is defined, conceptualised, and rigorously measured in both traditional Natural Language Processing (NLP) systems and modern LLM-driven approaches.
The tutorial traces the evolution of computational creativity from pre-LLM methods through current advances in LLM-based creativity, multi-agent generative systems, and emergent creative behaviours.
Through lectures, case studies, and hands-on demonstrations, participants will acquire sufficient understanding to grasp the most recent research in this adjacent area and its relevance for NLP and Computational Linguistics (CL), particularly concerning language resource evaluation, human-AI co-intelligence, and collaborative innovation.| Time | Session | Duration | Speaker(s) |
|---|---|---|---|
| 14:00–14:10 | Welcome & Introduction | 10 mins | - |
| 14:10–15:00 | Theories of Creativity | 50 mins | Luna |
| 15:00–15:20 | Q&A + Short Break | 20 mins | |
| 15:20–16:00 | Creativity in Traditional NLP and Machine Learning | 40 mins | Zheng |
| 16:00–16:30 | ☕ Coffee Break | 30 mins | |
| 16:30–17:20 | LLMs and the Creative Turn in NLP | 50 mins | Luning |
| 17:20–17:30 | Q&A + Short Break | 10 mins | |
| 17:30–18:00 | Future Trends & Open Discussion | 30 mins | - |
@article{lrec2026_linguistic_creativity,
author = {Yuan, Zheng and Sun, Luning and Luan, Luna},
title = {Linguistic Creativity in the Age of LLMs: From Diversity to Innovation},
journal = {LREC 2026},
year = {2026},
}