Summary of Beyond Discrete Personas: Personality Modeling Through Journal Intensive Conversations, by Sayantan Pal et al.
Beyond Discrete Personas: Personality Modeling Through Journal Intensive Conversations
by Sayantan Pal, Souvik Das, Rohini K. Srihari
First submitted to arxiv on: 15 Dec 2024
Categories
- Main: Computation and Language (cs.CL)
- Secondary: Artificial Intelligence (cs.AI)
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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 Large Language Models (LLMs) have made significant advancements in personalized conversational capabilities. Existing datasets rely on static, predefined personas, which often fail to capture the fluid nature of human personalities. To overcome these limitations, this paper introduces a novel dataset with around 400,000 dialogues and a framework for generating personalized conversations using long-form journal entries from Reddit. The approach clusters journal entries by author and selects the most representative cluster to ensure that the retained entries best reflect the author’s personality. The data is further refined to capture the Big Five personality traits: openness, conscientiousness, extraversion, agreeableness, and neuroticism. Llama 3 70B is used to generate high-quality dialogues grounded in these journal entries. Fine-tuning models on this dataset leads to an 11% improvement in capturing personality traits on average, outperforming existing approaches. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary This paper talks about how computers can have conversations with people that sound more like real humans. Right now, computer conversations are often stiff and don’t capture the way humans talk. The researchers created a new dataset of conversations based on journal entries from Reddit to make conversations sound more natural. They used this data to train a special kind of AI called Large Language Models (LLMs). These models can have conversations that sound more like real people, using traits like being open-minded or outgoing. This is an improvement over what’s currently possible, and it could be useful for things like chatbots or voice assistants. |
Keywords
» Artificial intelligence » Fine tuning » Llama
