3 papers
cs.AI2026
HAMLET: A Hierarchical and Adaptive Multi-Agent Framework for Live Embodied Theatrics
Shufan Jiang, Sizhou Chen, Chios Chen +3
Creating an immersive and interactive theatrical experience is a long-term goal in the field of interactive narrative. The emergence of large language models (LLMs) provides a new…
cs.CL2026
FURINA: A Fully Customizable Role-Playing Benchmark via Scalable Multi-Agent Collaboration Pipeline
Haotian Wu, Shufan Jiang, Chios Chen +5
As large language models (LLMs) advance in role-playing (RP) tasks, existing benchmarks quickly become obsolete due to their narrow scope, outdated interaction paradigms, and limit…
cs.NI2024
LINKs: Large Language Model Integrated Management for 6G Empowered Digital Twin NetworKs
Shufan Jiang, Bangyan Lin, Yue Wu +1
In the rapidly evolving landscape of digital twins (DT) and 6G networks, the integration of large language models (LLMs) presents a novel approach to network management. This paper…