We present a multi-expert system for creating Non-Player Characters (NPCs) capable of both natural dialogue and contextual action execution in interactive environments. Using Qwen3 as the base model and Low-Rank Adaptation (LoRA) adapters, we instantiate three specialists: tool calling, tool-response interpretation, and direct dialogue. Our system comfortably meets the computational efficiency requirements, delivering fast responses and maintaining modest resource usage on L40S GPUs. In the Commonsense Persona-Grounded Dialogue Challenge 2025, our method ranked second overall. Code available at: https://github.com/MahammadNuriyev62/CPDC-challenge-2025-solution/
@article{arxiv.2511.01720,
title = {Efficient Tool-Calling Multi-Expert NPC Agent for Commonsense Persona-Grounded Dialogue},
author = {Mahammad Nuriyev},
journal= {arXiv preprint arXiv:2511.01720},
year = {2025}
}
Comments
10 pages, 1 figure, 2 tables. Technical report for the Commonsense Persona-Grounded Dialogue Challenge (CPDC) 2025, part of the Wordplay 2025 Workshop @ EMNLP 2025