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README.md
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# Korean GPT Bot Sentiment Classification (ko-gpt-bot-sc)
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### References
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- Prompt Tuning: <a href="https://arxiv.org/abs/2104.08691" download>**The Power of Scale for Parameter-Efficient Prompt Tuning**</a>
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- Prompt Tuning v2: <a href="https://arxiv.org/abs/2110.07602" download>**P-Tuning v2: Prompt Tuning Can Be Comparable to Fine-tuning Universally Across Scales and Tasks**</a>
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# Korean GPT Bot Sentiment Classification (ko-gpt-bot-sc)
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### Method
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- Soft Embedding
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### References
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- Prompt Tuning: <a href="https://arxiv.org/abs/2104.08691" download>**The Power of Scale for Parameter-Efficient Prompt Tuning**</a>
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- Prompt Tuning v2: <a href="https://arxiv.org/abs/2110.07602" download>**P-Tuning v2: Prompt Tuning Can Be Comparable to Fine-tuning Universally Across Scales and Tasks**</a>
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