Papers by Guang Xiao

2 papers
Crafting Customisable Characters with LLMs: A Persona-Driven Role-Playing Agent Framework (2025.findings-emnlp)

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Challenge: Large Language Models (LLMs) are capable of generating human-like text, but the potential for freely customisable characters remains underexplored.
Approach: They propose a framework which employs Large Language Models to create freely customisable characters through personalised characteristic feature injection.
Outcome: The proposed framework provides valuable insights for developing more accurate and customisable human simulacra.
Dynamics of Cognitive Heterogeneity: Investigating Behavioral Biases in Multi-Stage Supply Chains with LLM-Based Simulation (2026.acl-long)

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Challenge: Recent advances in Large Language Models (LLMs) allow repeatable experiments in which individual characteristics can be precisely defined.
Approach: They propose a scalable experimental paradigm using Large Language Models to simulate multi-stage supply chain dynamics.
Outcome: The proposed model systematically replicates and validates the results of a behavioral simulation on agents in multi-stage supply chain dynamics.

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