Papers by Kangjun Noh
LBC: Language-Based-Classifier for Out-Of-Variable Generalization (2025.naacl-long)
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| Challenge: | Large Language Models (LLMs) have great success in natural language processing tasks such as response generation, but their performance on tabular data tasks has been limited due to their inferior performance compared to traditional machine learning models (TMLs). |
| Approach: | They propose a Language-Based-Classifier (LBC) that maximizes the benefits of LLMs to outperform TMLs on OOV tasks. |
| Outcome: | The proposed model outperforms TMLs on OOV tasks by using three key methods. |