Summary of Llm Agents in Interaction: Measuring Personality Consistency and Linguistic Alignment in Interacting Populations Of Large Language Models, by Ivar Frisch et al.
LLM Agents in Interaction: Measuring Personality Consistency and Linguistic Alignment in Interacting Populations of Large Language Models
by Ivar Frisch, Mario Giulianelli
First submitted to arxiv on: 5 Feb 2024
Categories
- Main: Computation and Language (cs.CL)
- Secondary: Artificial Intelligence (cs.AI); Computers and Society (cs.CY); Multiagent Systems (cs.MA)
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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 investigates how conditioning large language models (LLMs) on personality profiles affects their behavior in conversations. Specifically, it examines how persona-conditioned LLM agents interact with each other and whether they remain consistent to their assigned traits. The authors use GPT-3.5 as the base model and develop a novel sampling algorithm to create a diverse population of LLM agents. They then administer personality tests and have the agents engage in collaborative writing tasks, finding that different profiles exhibit varying degrees of personality consistency and linguistic alignment with conversational partners. This study aims to lay the groundwork for better understanding dialogue-based interaction between LLMs and highlights the need for new approaches to crafting robust, human-like LLM personas. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary This paper looks at how language models can be trained to have different personalities. It uses a big language model called GPT-3.5 and makes many copies of it with slightly different personalities. Then it tests these personalities by having them work together on a writing task. The results show that the personalities are quite different from each other, which is important for making language models that can have real conversations. |
Keywords
» Artificial intelligence » Alignment » Gpt » Language model
