Chenxi Whitehouse
![me.jpg](/assets/img/me.jpg)
I am Chenxi, an incoming research scientist at Meta, focusing on Fundamental AI Research for LLMs. I am also a visiting researcher at the University of Cambridge, where I previously worked as a postdoctoral research associate, collaborating with Prof. Andreas Vlachos on automated fact-checking.
Before joining Meta, I was an applied research scientist at Amazon AGI in Cambridge, where I focused on advancing Alexa with LLMs. I completed my PhD in knowledge-grounded NLP at City, University of London. Earlier, I received a Bachelor’s degree in Information Engineering from Xi’an Jiaotong University and a Master’s degree in Electrical Engineering from the University of Erlangen-Nürnberg and University College London.
My research focuses on Natural Language Understanding and Generation, Multilinguality, Knowledge Distillation, and Reasoning. During my PhD, I interned at Google DeepMind in Amsterdam, Amazon Alexa AI in Cambridge, Huawei Noah’s Ark Lab in London, and visited MBZUAI as a research assistant.
I am also part of the machine learning team at Replicate, contributing to open-source AI solutions.
News
Oct - 2024 | Thrilled to share that I will be joining Meta GenAI in London as a Research Scientist! |
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Jul - 2024 | Our paper PRobELM: Plausibility Ranking Evaluation for Language Models is accepted in the first Conference of Language Modelling COLM 2024! ![]() |
Jun - 2024 | Happy to share that I have joined Amazon AGI in Cambridge as an Applied Research Scientist! |
Mar - 2024 | Our paper Low-Rank Adaptation for Multilingual Summarisation: An Empirical Study from my internship at Google DeepMind is accepted in the findings of NAACL 2024! ![]() |
Feb - 2024 | Happy to share that I have passed my Viva! Warmest thanks to everyone who helped my PhD journey and the amazing examiners Prof Isabelle Augenstein and Prof Nikos Aletras! 🎓 |
Dec - 2023 | Excited to share that I have joined University of Cambridge as a Postdoc researcher, working with Prof Andreas Vlachos on automated fact-checking! |
Oct - 2023 | Our paper LLM-powered Data Augmentation for Enhanced Cross-lingual Performance from my visit at MBZUAI is accepted in the main conference of EMNLP 2023! ![]() |
Jun - 2023 | Thrilled to share that I have joined Google DeepMind this summer as a Research Intern! |
Selected Publications
- EACLFindings of the Association for Computational Linguistics: EACL 2023