Quentin Fournier

According to our database, Quentin Fournier authored at least 21 papers between 2019 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

NovoMolGen: Rethinking Molecular Language Model Pretraining.

Kamran Chitsaz, Roshan Balaji, Quentin Fournier, Nirav Pravinbhai Bhatt, Sarath Chandar

CoRR, August, 2025

CADmium: Fine-Tuning Code Language Models for Text-Driven Sequential CAD Design.

Prashant Govindarajan, Davide Baldelli, Jay Pathak, Quentin Fournier, Sarath Chandar

CoRR, July, 2025

Structure-Aligned Protein Language Model.

Can Chen, David Heurtel-Depeiges, Robert M. Vernon, Christopher James Langmead, Yoshua Bengio, Quentin Fournier

CoRR, May, 2025

NeoBERT: A Next-Generation BERT.

Lola Le Breton, Quentin Fournier, Mariam El Mezouar, Sarath Chandar

CoRR, February, 2025

NeoBERT: A Next Generation BERT.

Lola Le Breton, Quentin Fournier, John Xavier Morris, Mariam El Mezouar, Sarath Chandar

Trans. Mach. Learn. Res., 2025

Combining Domain and Alignment Vectors Provides Better Knowledge-Safety Trade-offs in LLMs.

Megh Thakkar, Quentin Fournier, Matthew Riemer, Pin-Yu Chen, Amal Zouaq, Payel Das, Sarath Chandar

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), 2025

Small Encoders Can Rival Large Decoders in Detecting Groundedness.

Istabrak Abbes, Gabriele Prato, Quentin Fournier, Fernando Rodriguez, Alaa Boukhary, Adam Elwood, Sarath Chandar

Proceedings of the Findings of the Association for Computational Linguistics, 2025

2024

Combining Domain and Alignment Vectors to Achieve Better Knowledge-Safety Trade-offs in LLMs.

Megh Thakkar, Yash More, Quentin Fournier, Matthew Riemer, Pin-Yu Chen, Amal Zouaq, Payel Das, Sarath Chandar

CoRR, 2024

Predicting the Impact of Model Expansion through the Minima Manifold: A Loss Landscape Perspective.

Pranshu Malviya, Jerry Huang, Quentin Fournier, Sarath Chandar

CoRR, 2024

Exploring Quantization for Efficient Pre-Training of Transformer Language Models.

Kamran Chitsaz, Quentin Fournier, Gonçalo Mordido, Sarath Chandar

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

A Deep Dive into the Trade-Offs of Parameter-Efficient Preference Alignment Techniques.

Megh Thakkar, Quentin Fournier, Matthew Riemer, Pin-Yu Chen, Amal Zouaq, Payel Das, Sarath Chandar

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

2023

Energy and carbon-aware initial VM placement in geographically distributed cloud data centers.

Ehsan Khodayarseresht, Alireza Shameli-Sendi, Quentin Fournier, Michel R. Dagenais

Sustain. Comput. Informatics Syst., September, 2023

Detection of microservice-based software anomalies based on OpenTracing in cloud.

Mohammad Khanahmadi, Alireza Shameli-Sendi, Masoume Jabbarifar, Quentin Fournier, Michel R. Dagenais

Softw. Pract. Exp., August, 2023

Distributed computation of the critical path from execution traces.

Pierre-Frédérick Denys, Quentin Fournier, Michel R. Dagenais

Softw. Pract. Exp., August, 2023

A Practical Survey on Faster and Lighter Transformers.

Quentin Fournier, Gaétan Marceau Caron, Daniel Aloise

ACM Comput. Surv., 2023

Language Models for Novelty Detection in System Call Traces.

Quentin Fournier, Daniel Aloise, Leandro Rincon Costa

CoRR, 2023

2021

Automated Cause Analysis of Latency Outliers Using System-Level Dependency Graphs.

Sneh Patel, Brendan Park, Naser Ezzati-Jivan, Quentin Fournier

Proceedings of the 21st IEEE International Conference on Software Quality, 2021

On Improving Deep Learning Trace Analysis with System Call Arguments.

Quentin Fournier, Daniel Aloise, Seyed Vahid Azhari, François Tetreault

Proceedings of the 18th IEEE/ACM International Conference on Mining Software Repositories, 2021

2020

DepGraph: Localizing Performance Bottlenecks in Multi-Core Applications Using Waiting Dependency Graphs and Software Tracing.

Naser Ezzati-Jivan, Quentin Fournier, Michel R. Dagenais, Abdelwahab Hamou-Lhadj

Proceedings of the 20th IEEE International Working Conference on Source Code Analysis and Manipulation, 2020

2019

Automatic Cause Detection of Performance Problems in Web Applications.

Quentin Fournier, Naser Ezzati-Jivan, Daniel Aloise, Michel R. Dagenais

Proceedings of the IEEE International Symposium on Software Reliability Engineering Workshops, 2019

Empirical Comparison between Autoencoders and Traditional Dimensionality Reduction Methods.

Quentin Fournier, Daniel Aloise

Proceedings of the 2nd IEEE International Conference on Artificial Intelligence and Knowledge Engineering, 2019