Summary of Judgment Of Thoughts: Courtroom Of the Binary Logical Reasoning in Large Language Models, by Sungjune Park and Daeseon Choi
Judgment of Thoughts: Courtroom of the Binary Logical Reasoning in Large Language Models
by Sungjune Park, Daeseon Choi
First submitted to arxiv on: 25 Sep 2024
Categories
- Main: Artificial Intelligence (cs.AI)
- 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 This paper proposes a novel prompt engineering technique called Judgment of Thought (JoT) that improves binary logical reasoning tasks. JoT employs three roles – lawyer, prosecutor, and judge – to facilitate more accurate reasoning by the model. The judge uses a high-level model while the lawyer and prosecutor use low-level models, enabling a more accurate judgment. Experimental results on large language model benchmark datasets, such as BigBenchHard and Winogrande, demonstrate that JoT outperforms existing methods in binary logical reasoning tasks. Additionally, in real-world tasks like Fake News Detection and SMS Spam Detection, JoT shows comparable or improved performance compared to existing techniques. JoT significantly enhances the accuracy and reliability of models in binary reasoning tasks and shows potential for practical applicability across various domains. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary This paper helps computers make better decisions by using a new way to ask questions called Judgment of Thought (JoT). It’s like a mini-court with three roles: lawyer, prosecutor, and judge. The judge uses a smart computer model while the lawyer and prosecutor use simpler models, helping the judge make a more accurate decision. This new technique was tested on big language model datasets and performed better than other methods in making decisions about things like fake news or spam text messages. It could be used to improve how computers make decisions in many areas. |
Keywords
» Artificial intelligence » Language model » Large language model » Prompt
