11 papers
MedGame: Storytelling Gamification Empowered by Large Language Models for Medical Education
Qian Wu, Xinrong Zhou, Zizhan Ma +8
Large Language Models (LLMs) show promise for medical education, but most existing systems focus on localized interactions such as question answering or single-turn feedback, rathe…
Agentopia: Long-Term Life Simulation and Learning in Agent Societies
Xintao Wang, Sirui Zheng, Hongqiu Wu +10
Humans learn from social life. Simulating this process with LLM-powered agents represents a promising research direction, raising a natural question: whether LLMs can learn from su…
OPEN-THEATRE: An Open-Source Toolkit for LLM-based Interactive Drama
Tianyang Xu, Hongqiu Wu, Weiqi Wu +1
LLM-based Interactive Drama introduces a novel dialogue scenario in which the player immerses into a character and engages in a dramatic story by interacting with LLM agents. Despi…
BriLLM: Brain-inspired Large Language Model
Hai Zhao, Hongqiu Wu, Dongjie Yang +2
We introduce BriLLM, a brain-inspired large language model that fundamentally redefines the foundations of machine learning through its implementation of Signal Fully-connected flo…
Towards Enhanced Immersion and Agency for LLM-based Interactive Drama
Hongqiu Wu, Weiqi Wu, Tianyang Xu +2
LLM-based Interactive Drama is a novel AI-based dialogue scenario, where the user (i.e. the player) plays the role of a character in the story, has conversations with characters pl…
X-TURING: Towards an Enhanced and Efficient Turing Test for Long-Term Dialogue Agents
Weiqi Wu, Hongqiu Wu, Hai Zhao
The Turing test examines whether AIs exhibit human-like behaviour in natural language conversations. The traditional setting limits each participant to one message at a time and re…