Hey there! I’m currently a Ph.D. student at EPFL’s Data Science Lab, where I’m advised by Prof. Robert West.
During my time at EPFL, I had the chance to dive into the world of knowledge-graph enhanced LLM with Prof. Antoine Bosseult(NLP lab), text summarization with Diego Antognini(now at Google), language model for law with Rémi Lebret(AI lab), and LLM evaluation with Maxime Peyrard(now professor at CNRS France). Prior to joining EPFL, I received my B.S. in Physics from University Paris-Saclay, France.
My research interests include:
Develop new constrained decoding research techniques for increasing LLM inference quality and/or efficiency. Examples include:
Re-imagine the use and construction of context-free grammars (CFG) and beyond to fit Generative AI. Examples here include
Design principled evaluation frameworks and benchmarks for measuring the effects of constrained decoding on a model. Some areas of interest to study carefully include
Consideration of how these techniques are presented to developers – who may not be well versed in grammars and constrained generation – in an intuitive, idiomatic programming syntax is also top of mind.
PhD in Computer Science, 2022-Now
EPFL