Hancheol Park

Self-Knowledge Distillation for Learning Ambiguity

2024 · arXiv (Cornell University)

Recent language models have shown remarkable performance on natural language understanding (NLU) tasks. However, they are often sub-optimal when faced with ambiguous samples that can be interpreted in multiple ways, over-confidently predicting a single label …

Assessing the Answerability of Queries in Retrieval-Augmented Code Generation

2024 · arXiv (Cornell University)

Thanks to unprecedented language understanding and generation capabilities of large language model (LLM), Retrieval-augmented Code Generation (RaCG) has recently been widely utilized among software developers. While this has increased productivity, there are still frequent instances …