Summary of Evaluating Llms Capabilities Towards Understanding Social Dynamics, by Anique Tahir et al.
Evaluating LLMs Capabilities Towards Understanding Social Dynamics
by Anique Tahir, Lu Cheng, Manuel Sandoval, Yasin N. Silva, Deborah L. Hall, Huan Liu
First submitted to arxiv on: 20 Nov 2024
Categories
- Main: Machine Learning (cs.LG)
- Secondary: Artificial Intelligence (cs.AI)
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Summary difficulty | Written by | Summary |
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High | Paper authors | High Difficulty Summary Read the original abstract here |
Medium | GrooveSquid.com (original content) | Medium Difficulty Summary Medium Difficulty summary: The paper explores the ability of generative large language models (LLMs) like Llama and ChatGPT to understand social media dynamics, particularly in contexts related to cyberbullying. It compares the performance of different LLMs in understanding language, directionality, and bullying/anti-bullying message detection. While fine-tuned LLMs show promise in some tasks, they exhibit mixed results in others. The study highlights the importance of understanding LLM capabilities for designing effective models that can be used in social applications. Key findings include the positive effects of fine-tuning and prompt engineering on certain tasks. Overall, this research is crucial for developing future LLMs that can effectively tackle complex social media issues. |
Low | GrooveSquid.com (original content) | Low Difficulty Summary Low Difficulty summary: This study looks at how well artificial intelligence (AI) language models can understand what’s happening on social media, especially when it comes to bullying. The researchers tested different AI models to see if they could understand things like who is saying what and whether messages are helpful or hurtful. While some models did better than others, the results show that these AI models still have a lot to learn about how people interact with each other online. This research is important because it can help us build better AI models that can help stop bullying on social media. |
Keywords
» Artificial intelligence » Fine tuning » Llama » Prompt