
Fantine Huot
Research Engineer @ Google DeepMind
summarization
planning
question answering
attribution
crosslingual
controllable generation
multimodal dataset
conditional generation
parameter-efficient fine-tuning
question-answer
multilingual summarization
long-form question answering
lora
text-blueprint
quenstion-answer blueprint
8
presentations
6
number of views
SHORT BIO
Fantine is a research engineer at Google DeepMind. Her research focuses on controllable and faithful language generation. She got her PhD from Stanford University, and her MSc from the Ecole Nationale Superieure des Mines de Paris.
Presentations

DOLOMITES: Domain-Specific Long-Form Methodical Tasks
Chaitanya Malaviya and 9 other authors

Evaluating LLMs for Targeted Concept Simplification for Domain-Specific Texts
Sumit Asthana and 4 other authors

Learning to Plan and Generate Text with Citations
Constanza Fierro and 6 other authors

Low-Rank Adaptation for Multilingual Summarization: An Empirical Study
Chenxi Whitehouse and 5 other authors

µPLAN: Summarizing using a Content Plan as Cross-Lingual Bridge
Fantine Huot and 7 other authors

QAmeleon: Multilingual QA with Only 5 Examples | VIDEO
Chris Alberti and 8 other authors

Conditional Generation with a Question-Answering Blueprint
Shashi Narayan and 8 other authors

Text-Blueprint: An Interactive Platform for Plan-based Conditional Generation
Fantine Huot and 8 other authors