ANIMASK: What the Model Contributes to Role Play in Simulated Story Worlds

arXiv:2609.16667 · cs.AI · Submitted 2026-09-15 · Read on arXiv

cs.AI

Submitted: 2026-09-15

Updated: 2026-09-15

Comments: 38 pages, 6 figures, 14 tables

Code: https://github.com/Xiucheng-Zhang/ANIMASK

License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/

Terminology

• Actor — 96× in this paper · explained in 3 episodes
• Fidelity — 10× in this paper · explained in 2 episodes
• Robustness — 6× in this paper · explained in 5 episodes
• Core — 5× in this paper · explained in 2 episodes
• Calibration — 4× in this paper · explained in 7 episodes
• Alignment — 3× in this paper · explained in 1 episode
• Axioms — 3× in this paper · explained in 2 episodes
• Sycophancy — 3× in this paper · explained in 4 episodes
• Trace — 3× in this paper · explained in 2 episodes
• Adam — 2× in this paper · explained in 2 episodes
• Agent-based modeling — 2× in this paper · explained in 1 episode
• Benchmark — 2× in this paper · explained in 2 episodes
• Benchmarking — 2× in this paper · explained in 3 episodes
• Cooperation — 2× in this paper · explained in 2 episodes
• Fine-Tuning — 2× in this paper · explained in 5 episodes
• Frustration — 2× in this paper · explained in 2 episodes
• Ablation — 1× in this paper · explained in 1 episode
• Consistency — 1× in this paper · explained in 3 episodes
• Hallucination — 1× in this paper · explained in 3 episodes
• Homogeneity — 1× in this paper · explained in 2 episodes
• Large Language Models (LLMs) — 1× in this paper · explained in 6 episodes
• Personalization — 1× in this paper · explained in 2 episodes

Sources

• TimeChara: Evaluating Point-in-Time Character Hallucination of Role-Playing Large Language Models
• Playing repeated games with Large Language Models
• Emergence World: A Platform for Evaluating Long-Horizon Multi-Agent Autonomy
• Language Models as Agent Models
• LLM Social Simulations Are a Promising Research Method
• Out of One, Many: Using Language Models to Simulate Human Samples
• Sensitivity, Performance, Robustness: Deconstructing the Effect of Sociodemographic Prompting
• From Persona to Personalization: A Survey on Role-Playing Language Agents
• StoryBox: Collaborative Multi-Agent Simulation for Hybrid Bottom-Up Long-Form Story Generation Using Large Language Models
• Examining Identity Drift in Conversations of LLM Agents
• DeepSeek-V4: Towards Highly Efficient Million-Token Context Intelligence
• Hierarchical Neural Story Generation
• Large Language Models and Games: A Survey and Roadmap
• IBSEN: Director-Actor Agent Collaboration for Controllable and Interactive Drama Script Generation
• Quantifying the Persona Effect in LLM Simulations
• Artificial Hivemind: The Open-Ended Homogeneity of Language Models (and Beyond)
• Identifying and Mitigating Bottlenecks in Role-Playing Agents: A Systematic Study of Disentangling Character Profile Axes
• Understanding the Effects of RLHF on LLM Generalisation and Diversity
• Attractor States Emerge in Multi-Turn LLM Conversations
• RoleCDE:Benchmarking and Mitigating Role-Alignment Trade-offs in Role-Playing Agents

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