Matheus Pereira

debug-gym: A Text-Based Environment for Interactive Debugging

Xingdi Yuan, Morgane M Moss, Charbel Feghali, Chinmay Singh, Darya Moldavskaya, Drew MacPhee, Lucas Caccia, Matheus Pereira, Minseon Kim, Alessandro Sordoni, Marc-Alexandre Côté

March 2025

Publication

Towards Modular LLMs by Building and Reusing a Library of LoRAs

O. Ostapenko, Zhan Su, E. Ponti, Laurent Charlin, Nicolas Le Roux, Matheus Pereira, Lucas Caccia, Alessandro Sordoni

ICML 2024 | May 2024

Publication

Multi-Head Adapter Routing for Data-Efficient Fine-Tuning

Lucas Caccia, E. Ponti, Lu Liu, Matheus Pereira, Nicolas Le Roux, Alessandro Sordoni

ArXiv | November 2023, Vol abs/2211.03831

DOI Publication Publication

Joint Prompt Optimization of Stacked LLMs using Variational Inference

Alessandro Sordoni, Xingdi Yuan, Marc-Alexandre Côté, Matheus Pereira, Adam Trischler, Ziang Xiao, Arian Hosseini, Friederike Niedtner, Nicolas Le Roux

NeurIPS 2023 | October 2023

Publication

Multi-Head Adapter Routing for Cross-Task Generalization

Lucas Caccia, Edoardo Ponti, Zhan Su, Matheus Pereira, Nicolas Le Roux, Alessandro Sordoni

NeurIPS 2023 | October 2023

Publication

debug-gym: A Text-Based Environment for Interactive Debugging

Xingdi Yuan, Morgane M Moss, Charbel Feghali, Chinmay Singh, Darya Moldavskaya, Drew MacPhee, Lucas Caccia, Matheus Pereira, Minseon Kim, Alessandro Sordoni, Marc-Alexandre Côté

March 2025

Publication

Towards Modular LLMs by Building and Reusing a Library of LoRAs

O. Ostapenko, Zhan Su, E. Ponti, Laurent Charlin, Nicolas Le Roux, Matheus Pereira, Lucas Caccia, Alessandro Sordoni

ICML 2024 | May 2024

Publication

Multi-Head Adapter Routing for Data-Efficient Fine-Tuning

Lucas Caccia, E. Ponti, Lu Liu, Matheus Pereira, Nicolas Le Roux, Alessandro Sordoni

ArXiv | November 2023, Vol abs/2211.03831

DOI Publication Publication

Multi-Head Adapter Routing for Cross-Task Generalization

Lucas Caccia, Edoardo Ponti, Zhan Su, Matheus Pereira, Nicolas Le Roux, Alessandro Sordoni

NeurIPS 2023 | October 2023

Publication

Joint Prompt Optimization of Stacked LLMs using Variational Inference

Alessandro Sordoni, Xingdi Yuan, Marc-Alexandre Côté, Matheus Pereira, Adam Trischler, Ziang Xiao, Arian Hosseini, Friederike Niedtner, Nicolas Le Roux

NeurIPS 2023 | October 2023

Publication

debug-gym: A Text-Based Environment for Interactive Debugging

Xingdi Yuan, Morgane M Moss, Charbel Feghali, Chinmay Singh, Darya Moldavskaya, Drew MacPhee, Lucas Caccia, Matheus Pereira, Minseon Kim, Alessandro Sordoni, Marc-Alexandre Côté

March 2025

Publication

debug-gym: A Text-Based Environment for Interactive Debugging

Xingdi Yuan, Morgane M Moss, Charbel Feghali, Chinmay Singh, Darya Moldavskaya, Drew MacPhee, Lucas Caccia, Matheus Pereira, Minseon Kim, Alessandro Sordoni, Marc-Alexandre Côté

March 2025

Publication

Multi-Head Adapter Routing for Data-Efficient Fine-Tuning

Lucas Caccia, E. Ponti, Lu Liu, Matheus Pereira, Nicolas Le Roux, Alessandro Sordoni

ArXiv | November 2023, Vol abs/2211.03831

DOI Publication Publication

Towards Modular LLMs by Building and Reusing a Library of LoRAs

O. Ostapenko, Zhan Su, E. Ponti, Laurent Charlin, Nicolas Le Roux, Matheus Pereira, Lucas Caccia, Alessandro Sordoni

ICML 2024 | May 2024

Publication

Multi-Head Adapter Routing for Cross-Task Generalization

Lucas Caccia, Edoardo Ponti, Zhan Su, Matheus Pereira, Nicolas Le Roux, Alessandro Sordoni

NeurIPS 2023 | October 2023

Publication

Joint Prompt Optimization of Stacked LLMs using Variational Inference

Alessandro Sordoni, Xingdi Yuan, Marc-Alexandre Côté, Matheus Pereira, Adam Trischler, Ziang Xiao, Arian Hosseini, Friederike Niedtner, Nicolas Le Roux

NeurIPS 2023 | October 2023

Publication