Yuxuan (Effie) Li

I am a Research Scientist at Google DeepMind. I am broadly interested in machine and human cognition, and the mechanisms that support these abilities in deep learning models and the human brain. Some of my recent works include evaluating zero-shot visual reasoning in video models and understanding in-context task representations in language models.

My PhD research investigated a learning theory of task decomposition in transformers and humans. I also worked on multi-modal LLM evaluation and embodied AI as interns at Meta and AI2, and spent time building neural decoders of human episodic memory at UPenn.

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