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| Main Author: | |
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| Format: | Preprint |
| Published: |
2025
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| Subjects: | |
| Online Access: | https://arxiv.org/abs/2511.01720 |
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| _version_ | 1866915593819521024 |
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| author | Nuriyev, Mahammad |
| author_facet | Nuriyev, Mahammad |
| contents | 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/ |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2511_01720 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Efficient Tool-Calling Multi-Expert NPC Agent for Commonsense Persona-Grounded Dialogue Nuriyev, Mahammad Computation and Language 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/ |
| title | Efficient Tool-Calling Multi-Expert NPC Agent for Commonsense Persona-Grounded Dialogue |
| topic | Computation and Language |
| url | https://arxiv.org/abs/2511.01720 |