Grand, Gabriel

6 publications

ICLRW 2025 Self-Steering Language Models Gabriel Grand, Joshua B. Tenenbaum, Vikash Mansinghka, Alexander K. Lew, Jacob Andreas
ICLR 2025 Syntactic and Semantic Control of Large Language Models via Sequential Monte Carlo João Loula, Benjamin LeBrun, Li Du, Ben Lipkin, Clemente Pasti, Gabriel Grand, Tianyu Liu, Yahya Emara, Marjorie Freedman, Jason Eisner, Ryan Cotterell, Vikash Mansinghka, Alexander K. Lew, Tim Vieira, Timothy J. O'Donnell
NeurIPSW 2024 A Llama Sunk My Battleship! Asking Rational Questions with LLMs via Bayesian Inference Gabriel Grand, Valerio Pepe, Jacob Andreas, Joshua B. Tenenbaum
ICLR 2024 LILO: Learning Interpretable Libraries by Compressing and Documenting Code Gabriel Grand, Lionel Wong, Matthew Bowers, Theo X. Olausson, Muxin Liu, Joshua B. Tenenbaum, Jacob Andreas
NeurIPSW 2023 Learning Interpretable Libraries by Compressing and Documenting Code Gabriel Grand, Lionel Wong, Matthew Bowers, Theo X. Olausson, Muxin Liu, Joshua B. Tenenbaum, Jacob Andreas
ICMLW 2023 Sequential Monte Carlo Steering of Large Language Models Using Probabilistic Programs Alexander K. Lew, Tan Zhi-Xuan, Gabriel Grand, Vikash Mansinghka