Quentin Fournier

32 papers A 1C 2Journal 23Unranked 6
YearRankTypeTitle / Venue / Authors
2026 J jnl
CADmium: Fine-Tuning Code Language Models for Text- Driven Sequential CAD Design.
Trans. Mach. Learn. Res.
Prashant Govindarajan, Davide Baldelli, Jay Pathak, Quentin Fournier, Sarath Chandar
2026 J jnl
CoPeP: Benchmarking Continual Pretraining for Protein Language Models.
CoRR
Darshan Patil, Pranshu Malviya, Mathieu Reymond, Quentin Fournier, Sarath Chandar
2025 J jnl
CADmium: Fine-Tuning Code Language Models for Text-Driven Sequential CAD Design.
CoRR
Prashant Govindarajan, Davide Baldelli, Jay Pathak, Quentin Fournier, Sarath Chandar
2025 — conf
Combining Domain and Alignment Vectors Provides Better Knowledge-Safety Trade-offs in LLMs.
ACL (2)
Megh Thakkar, Quentin Fournier, Matthew Riemer, Pin-Yu Chen, Amal Zouaq, Payel Das, Sarath Chandar
2025 J jnl
NeoBERT: A Next Generation BERT.
Trans. Mach. Learn. Res.
Lola Le Breton, Quentin Fournier, John Xavier Morris, Mariam El Mezouar, Sarath Chandar
2025 J jnl
NeoBERT: A Next-Generation BERT.
CoRR
Lola Le Breton, Quentin Fournier, Mariam El Mezouar, Sarath Chandar
2025 J jnl
NovoMolGen: Rethinking Molecular Language Model Pretraining.
CoRR
Kamran Chitsaz, Roshan Balaji, Quentin Fournier, Nirav Pravinbhai Bhatt, Sarath Chandar
2025 — conf
Small Encoders Can Rival Large Decoders in Detecting Groundedness.
ACL (Findings)
Istabrak Abbes, Gabriele Prato, Quentin Fournier, Fernando Rodriguez, Alaa Boukhary, Adam Elwood, Sarath Chandar
2025 J jnl
Small Encoders Can Rival Large Decoders in Detecting Groundedness.
CoRR
Istabrak Abbes, Gabriele Prato, Quentin Fournier, Fernando Rodriguez, Alaa Boukhary, Adam Elwood, Sarath Chandar
2025 J jnl
Structure-Aligned Protein Language Model.
CoRR
Can Chen, David Heurtel-Depeiges, Robert M. Vernon, Christopher James Langmead, Yoshua Bengio, Quentin Fournier
2024 — conf
A Deep Dive into the Trade-Offs of Parameter-Efficient Preference Alignment Techniques.
ACL (1)
Megh Thakkar, Quentin Fournier, Matthew Riemer, Pin-Yu Chen, Amal Zouaq, Payel Das, Sarath Chandar
2024 J jnl
A Deep Dive into the Trade-Offs of Parameter-Efficient Preference Alignment Techniques.
CoRR
Megh Thakkar, Quentin Fournier, Matthew D. Riemer, Pin-Yu Chen, Amal Zouaq, Payel Das, Sarath Chandar
2024 J jnl
Combining Domain and Alignment Vectors to Achieve Better Knowledge-Safety Trade-offs in LLMs.
CoRR
Megh Thakkar, Yash More, Quentin Fournier, Matthew Riemer, Pin-Yu Chen, Amal Zouaq, Payel Das, Sarath Chandar
2024 — conf
Exploring Quantization for Efficient Pre-Training of Transformer Language Models.
EMNLP (Findings)
Kamran Chitsaz, Quentin Fournier, Gonçalo Mordido, Sarath Chandar
2024 J jnl
Exploring Quantization for Efficient Pre-Training of Transformer Language Models.
CoRR
Kamran Chitsaz, Quentin Fournier, Gonçalo Mordido, Sarath Chandar
2024 J jnl
Predicting the Impact of Model Expansion through the Minima Manifold: A Loss Landscape Perspective.
CoRR
Pranshu Malviya, Jerry Huang, Quentin Fournier, Sarath Chandar
2023 J jnl
A Practical Survey on Faster and Lighter Transformers.
ACM Comput. Surv.
Quentin Fournier, Gaétan Marceau Caron, Daniel Aloise
2023 J jnl
Detection of microservice-based software anomalies based on OpenTracing in cloud.
Softw. Pract. Exp.
Mohammad Khanahmadi, Alireza Shameli-Sendi, Masoume Jabbarifar, Quentin Fournier, Michel R. Dagenais
2023 J jnl
Distributed computation of the critical path from execution traces.
Softw. Pract. Exp.
Pierre-Frédérick Denys, Quentin Fournier, Michel R. Dagenais
2023 J jnl
Energy and carbon-aware initial VM placement in geographically distributed cloud data centers.
Sustain. Comput. Informatics Syst.
Ehsan Khodayarseresht, Alireza Shameli-Sendi, Quentin Fournier, Michel R. Dagenais
2023 J jnl
Language Models for Novelty Detection in System Call Traces.
CoRR
Quentin Fournier, Daniel Aloise, Leandro Rincon Costa
2022 J jnl
Automated Cause Analysis of Latency Outliers Using System-Level Dependency Graphs.
CoRR
Sneh Patel, Brendan Park, Naser Ezzati-Jivan, Quentin Fournier
2021 J jnl
A Practical Survey on Faster and Lighter Transformers.
CoRR
Quentin Fournier, Gaétan Marceau Caron, Daniel Aloise
2021 C conf
Automated Cause Analysis of Latency Outliers Using System-Level Dependency Graphs.
QRS
Sneh Patel, Brendan Park, Naser Ezzati-Jivan, Quentin Fournier
2021 J jnl
Automatic Cause Detection of Performance Problems in Web Applications.
CoRR
Quentin Fournier, Naser Ezzati-Jivan, Daniel Aloise, Michel R. Dagenais
2021 J jnl
DepGraph: Localizing Performance Bottlenecks in Multi-Core Applications Using Waiting Dependency Graphs and Software Tracing.
CoRR
Naser Ezzati-Jivan, Quentin Fournier, Michel R. Dagenais, Abdelwahab Hamou-Lhadj
2021 J jnl
Empirical comparison between autoencoders and traditional dimensionality reduction methods.
CoRR
Quentin Fournier, Daniel Aloise
2021 A conf
On Improving Deep Learning Trace Analysis with System Call Arguments.
MSR
Quentin Fournier, Daniel Aloise, Seyed Vahid Azhari, François Tetreault
2021 J jnl
On Improving Deep Learning Trace Analysis with System Call Arguments.
CoRR
Quentin Fournier, Daniel Aloise, Seyed Vahid Azhari, François Tetreault
2020 C conf
DepGraph: Localizing Performance Bottlenecks in Multi-Core Applications Using Waiting Dependency Graphs and Software Tracing.
SCAM
Naser Ezzati-Jivan, Quentin Fournier, Michel R. Dagenais, Abdelwahab Hamou-Lhadj
2019 — conf
Automatic Cause Detection of Performance Problems in Web Applications.
ISSRE Workshops
Quentin Fournier, Naser Ezzati-Jivan, Daniel Aloise, Michel R. Dagenais
2019 — conf
Empirical Comparison between Autoencoders and Traditional Dimensionality Reduction Methods.
AIKE
Quentin Fournier, Daniel Aloise