Summary of Enhancing Role-playing Systems Through Aggressive Queries: Evaluation and Improvement, by Yihong Tang et al.
Enhancing Role-playing Systems through Aggressive Queries: Evaluation and Improvement
by Yihong Tang, Jiao Ou, Che Liu, Fuzheng Zhang, Di Zhang, Kun Gai
First submitted to arxiv on: 16 Feb 2024
Categories
- Main: Computation and Language (cs.CL)
- Secondary: None
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| Summary difficulty | Written by | Summary |
|---|---|---|
| High | Paper authors | High Difficulty Summary Read the original abstract here |
| Medium | GrooveSquid.com (original content) | Medium Difficulty Summary The paper proposes MORTISE, a Modular ORchestrated Trap-setting Interaction SystEm designed to improve the performance of Large Language Models (LLMs) in role-playing systems (RPSs). While existing LLM-based RPSs are enhanced with role-relevant training dialogues, they struggle to align with roles when handling intricate queries. MORTISE produces aggressive queries through collaborative efforts of multiple LLM-based modules and formulates corresponding responses using a consistent response generator. The authors benchmark existing models against 190 Chinese and English roles, finding a general deficiency in role alignment capabilities. To address this, the authors create an adversarial training dataset (RoleAD) using 180 of these roles and test its effectiveness on improved models. Results show that RoleAD improves model performance and demonstrates generalizability in ordinary scenarios. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary The paper is about creating better computer systems that can have conversations like humans. Right now, these systems are not very good at playing roles, like pretending to be a character from a movie or book. The authors created a new system called MORTISE that helps Large Language Models (LLMs) do a better job with role-playing. They tested this system by giving it lots of examples of how humans talk and asking it to come up with its own conversations. The results show that MORTISE can help LLMs improve their role-playing abilities. |
Keywords
» Artificial intelligence » Alignment
