Jiwon Kim

LLMs may mimic human responses at the surface level but often miss the deeper distributional nuances, revealing a critical flaw in conventional evaluation methods.

The 1-block STGCN variant achieves superior performance with significantly lower computational costs, challenging the assumption that deeper architectures are always better for traffic prediction.

Open-source LLMs, trained with Reddit community feedback, can match the performance of proprietary models in generating supportive mental health responses, offering a privacy-preserving alternative.

Content moderation systems, designed to protect users, may inadvertently cripple LLMs' ability to function as effective therapists by censoring crucial topics in real therapy sessions.

Achieve faster, smaller medical image compression without sacrificing diagnostic quality by simply throwing away the background *before* using your favorite codec.