Papers by Gyeongyun Park
FeRG-LLM : Feature Engineering by Reason Generation Large Language Models (2025.findings-naacl)
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| Challenge: | FeRG-LLM is a large language model that performs feature engineering at an 8billion-parameter scale. |
| Approach: | They propose a framework to perform feature engineering at an 8billion-parameter scale using conversational dialogues. |
| Outcome: | The proposed framework outperforms Llama 3.1 70B and Llma 3.2 on most datasets while using fewer resources and achieving reduced inference time. |