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Jannik Kossen
Jannik Kossen
👨💻 AI Research Scientist @ FAIR
Hi! 👋
I am an AI research scientist at FAIR training LLMs for code generation and reasoning.
I did my PhD at the University of Oxford, where I worked on data-efficiency and uncertainties in language and vision models.
My supervisors were Yarin Gal in OATML and Tom Rainforth in RainML@OxCSML.
I’ve worked on a bunch of different things, including detecting hallucinations in LLMs, better understanding in-context learning in LLMs, predicting hallucinations from LLM hidden states, contrastive vision-language models, active model evaluation (twice), non-parametric transformers, multimodal active feature acquisition, and object-structured world models.
Our research on detecting hallucinations in LLMs was published in Nature and discussed in Time Magazine, The Economist, Science, The Independent, and The Washington Post.
