Yerim Kim

My research interests center on semantic approaches to efficient LLM inference — compressing the KV cache by what actually carries meaning, so long-context reasoning stays fast and memory-light without losing what matters. More recently, I've grown especially interested in how autonomous agents behave and how they work alongside people, spanning agent behavior analysis and agent–human collaboration.