Scholar
Maxime Peyrard
Google Scholar ID: RFMdKLMAAAAJ
Université Grenoble Alpes
Citations & Impact
Citations
2,330
H-index
20
i10-index
30
Publications
20
Co-authors
19
list available
Publications
Resume (English only)
Academic Achievements
- Published papers include 'A Glitch in the Matrix? Locating and Detecting Language Model Grounding with Fakepedia' (2023), 'Flows: Building Blocks of Reasoning and Collaborating AI' (2023), and 'REFINER: Reasoning Feedback on Intermediate Representations' (2023). A paper about evaluating large language models was accepted at ICLR.
Research Experience
- Currently a junior Professor at LIG in Grenoble, affiliated with the NLP team GetAlp; previously a Postdoctoral Scholar at EPFL under the guidance of Robert West in the Data Science Lab.
Education
- Earned a Ph.D. in Computer Science from the UKP lab at TU Darmstadt in 2019, advised by Iryna Gurevych.
Background
- Interested in understanding and overcoming challenges arising from the prevailing statistical perspective in NLP systems development. Research interests include out-of-distribution generalization, biases in pre-trained models, and mechanistic interpretations of complex model behavior.
Miscellany
- Released the aiFlows library for assembling flows of collaborative AI, tools, and humans, and invited users to join Discord to provide feedback and contribute.
