Nathanaël Carraz Rakotonirina

22 papers A* 2A 1B 1Misc 1Journal 12Unranked 5
YearRankTypeTitle / Venue / Authors
2026 J jnl
Correct, Concise and Complete: Multi-stage Training For Adaptive Reasoning.
CoRR
Nathanaël Carraz Rakotonirina, Ren Pang, Neha Anna John, Michael Bohlke-Schneider, Momchil Hardalov
2025 — conf
From Tools to Teammates: Evaluating LLMs in Multi-Session Coding Interactions.
ACL (1)
Nathanaël Carraz Rakotonirina, Mohammed Hamdy, Jon Ander Campos, Lucas Weber, Alberto Testoni, Marzieh Fadaee, Sandro Pezzelle, Marco Del Tredici
2025 J jnl
From Tools to Teammates: Evaluating LLMs in Multi-Session Coding Interactions.
CoRR
Nathanaël Carraz Rakotonirina, Mohammed Hamdy, Jon Ander Campos, Lucas Weber, Alberto Testoni, Marzieh Fadaee, Sandro Pezzelle, Marco Del Tredici
2025 J jnl
Optimizing With Low Budgets: A Comparison on the Black-Box Optimization Benchmarking Suite and OpenAI Gym.
IEEE Trans. Evol. Comput.
Elena Raponi, Nathanaël Carraz Rakotonirina, Jérémy Rapin, Carola Doerr, Olivier Teytaud
2024 J jnl
Evil twins are not that evil: Qualitative insights into machine-generated prompts.
CoRR
Nathanaël Carraz Rakotonirina, Corentin Kervadec, Francesca Franzon, Marco Baroni
2024 — conf
MemoryPrompt: A Light Wrapper to Improve Context Tracking in Pre-trained Language Models.
LREC/COLING
Nathanaël Carraz Rakotonirina, Marco Baroni
2024 J jnl
MemoryPrompt: A Light Wrapper to Improve Context Tracking in Pre-trained Language Models.
CoRR
Nathanaël Carraz Rakotonirina, Marco Baroni
2023 A* conf
Can discrete information extraction prompts generalize across language models?
ICLR
Nathanaël Carraz Rakotonirina, Roberto Dessì, Fabio Petroni, Sebastian Riedel, Marco Baroni
2023 J jnl
Can discrete information extraction prompts generalize across language models?
CoRR
Nathanaël Carraz Rakotonirina, Roberto Dessì, Fabio Petroni, Sebastian Riedel, Marco Baroni
2023 A* conf
Cross-Domain Image Captioning with Discriminative Finetuning.
CVPR
Roberto Dessì, Michele Bevilacqua, Eleonora Gualdoni, Nathanaël Carraz Rakotonirina, Francesca Franzon, Marco Baroni
2023 J jnl
Cross-Domain Image Captioning with Discriminative Finetuning.
CoRR
Roberto Dessì, Michele Bevilacqua, Eleonora Gualdoni, Nathanaël Carraz Rakotonirina, Francesca Franzon, Marco Baroni
2023 J jnl
Optimizing with Low Budgets: a Comparison on the Black-box Optimization Benchmarking Suite and OpenAI Gym.
CoRR
Elena Raponi, Nathanaël Carraz Rakotonirina, Jérémy Rapin, Carola Doerr, Olivier Teytaud
2023 A conf
Towards hate speech detection in low-resource languages: Comparing ASR to acoustic word embeddings on Wolof and Swahili.
INTERSPEECH
Christiaan Jacobs, Nathanaël Carraz Rakotonirina, Everlyn Asiko Chimoto, Bruce A. Bassett, Herman Kamper
2023 J jnl
Towards hate speech detection in low-resource languages: Comparing ASR to acoustic word embeddings on Wolof and Swahili.
CoRR
Christiaan Jacobs, Nathanaël Carraz Rakotonirina, Everlyn Asiko Chimoto, Bruce A. Bassett, Herman Kamper
2022 — conf
Fairness in generative modeling: do it unsupervised!
GECCO Companion
Mariia Zameshina, Olivier Teytaud, Fabien Teytaud, Vlad Hosu, Nathanaël Carraz Rakotonirina, Laurent Najman, Markus Wagner
2021 — conf
Self-Attention for Audio Super-Resolution.
MLSP
Nathanaël Carraz Rakotonirina
2021 J jnl
Self-Attention for Audio Super-Resolution.
CoRR
Nathanaël Carraz Rakotonirina
2020 Misc conf
ESRGAN+ : Further Improving Enhanced Super-Resolution Generative Adversarial Network.
ICASSP
Nathanaël Carraz Rakotonirina, Andry Rasoanaivo
2020 J jnl
ESRGAN+ : Further Improving Enhanced Super-Resolution Generative Adversarial Network.
CoRR
Nathanaël Carraz Rakotonirina, Andry Rasoanaivo
2020 — conf
Evolutionary super-resolution.
GECCO Companion
Baptiste Rozière, Nathanaël Carraz Rakotonirina, Vlad Hosu, Hanhe Lin, Andry Rasoanaivo, Olivier Teytaud, Camille Couprie
2020 B conf
Tarsier: Evolving Noise Injection in Super-Resolution GANs.
ICPR
Baptiste Rozière, Nathanaël Carraz Rakotonirina, Vlad Hosu, Andry Rasoanaivo, Hanhe Lin, Camille Couprie, Olivier Teytaud
2020 J jnl
Tarsier: Evolving Noise Injection in Super-Resolution GANs.
CoRR
Baptiste Rozière, Nathanaël Carraz Rakotonirina, Vlad Hosu, Andry Rasoanaivo, Hanhe Lin, Camille Couprie, Olivier Teytaud