Papers by Volkan Ustun
Implicit Behavioral Alignment of Language Agents in High-Stakes Crowd Simulations (2025.emnlp-main)
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| Challenge: | Language-driven generative agents have enabled large-scale social simulations with transformative uses, from interpersonal training to aiding global policy-making. |
| Approach: | They propose a framework for persona-environment Behavioral Alignment that iteratively refines agent personas and aligns them with real-world expert benchmarks. |
| Outcome: | The proposed framework greatly enhances behavioral realism and reliability in high-stakes social simulations. |
GameplayQA: A Benchmarking Framework for Decision-Dense POV-Synced Multi-Video Understanding of 3D Virtual Agents (2026.acl-long)
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Yunzhe Wang, Runhui Xu, Kexin Zheng, Tianyi Zhang, Jayavibhav Niranjan Kogundi, Soham Hans, Volkan Ustun
| Challenge: | Multimodal Large Language Models are emerging as a backbone for autonomous agents in 3D environments. |
| Approach: | They propose a framework for evaluating agentic-centric perception and reasoning through video understanding. |
| Outcome: | The proposed framework evaluates agentic-centric perception and reasoning through video understanding. |