Maxime Darrin

17 papers A* 3C 1Journal 8Unranked 4
YearRankTypeTitle / Venue / Authors
2026 J jnl
MolRGen: A Training and Evaluation Setting for De Novo Molecular Generation with Reasonning Models.
CoRR
Philippe Formont, Maxime Darrin, Ismail Ben Ayed, Pablo Piantanida
2025 — —
Formal models of communication in automatic summarization. (Modèles formels de la communication en résumé automatique).
Maxime Darrin
2025 J jnl
Learning Task-Agnostic Representations through Multi-Teacher Distillation.
CoRR
Philippe Formont, Maxime Darrin, Banafsheh Karimian, Jackie CK Cheung, Eric Granger, Ismail Ben Ayed, Mohammadhadi Shateri, Pablo Piantanida
2025 — conf
Leveraging Expert Usage to Speed up LLM Inference with Expert Parallelism.
Euro-Par (1)
Olivier Beaumont, Raphaël Bourgouin, Maxime Darrin, Loris Marchal, Pablo Piantanida
2025 — conf
Statistical Deficiency for Task Inclusion Estimation.
ACL (1)
Loïc Fosse, Frédéric Béchet, Benoît Favre, Géraldine Damnati, Gwénolé Lecorvé, Maxime Darrin, Philippe Formont, Pablo Piantanida
2025 J jnl
Statistical Deficiency for Task Inclusion Estimation.
CoRR
Loïc Fosse, Frédéric Béchet, Benoît Favre, Géraldine Damnati, Gwénolé Lecorvé, Maxime Darrin, Philippe Formont, Pablo Piantanida
2024 — conf
COSMIC: Mutual Information for Task-Agnostic Summarization Evaluation.
ACL (1)
Maxime Darrin, Philippe Formont, Jackie Chi Kit Cheung, Pablo Piantanida
2024 J jnl
COSMIC: Mutual Information for Task-Agnostic Summarization Evaluation.
CoRR
Maxime Darrin, Philippe Formont, Jackie Chi Kit Cheung, Pablo Piantanida
2024 — conf
GLIMPSE: Pragmatically Informative Multi-Document Summarization for Scholarly Reviews.
ACL (1)
Maxime Darrin, Ines Arous, Pablo Piantanida, Jackie Chi Kit Cheung
2024 J jnl
GLIMPSE: Pragmatically Informative Multi-Document Summarization for Scholarly Reviews.
CoRR
Maxime Darrin, Ines Arous, Pablo Piantanida, Jackie C. K. Cheung
2024 C conf
Physics-Informed Dual Architecture Neural Networks for Enhanced Estimation of Drilling Dynamics.
IGARSS
Jeanne Redaud, Maxime Darrin, Nasser Kazemi, Jean Auriol
2024 A* conf
Unsupervised Layer-Wise Score Aggregation for Textual OOD Detection.
AAAI
Maxime Darrin, Guillaume Staerman, Eduardo Dadalto Câmara Gomes, Jackie C. K. Cheung, Pablo Piantanida, Pierre Colombo
2024 A* conf
When is an Embedding Model More Promising than Another?
NeurIPS
Maxime Darrin, Philippe Formont, Ismail Ben Ayed, Jackie CK Cheung, Pablo Piantanida
2024 J jnl
When is an Embedding Model More Promising than Another?
CoRR
Maxime Darrin, Philippe Formont, Ismail Ben Ayed, Jackie C. K. Cheung, Pablo Piantanida
2023 A* conf
RainProof: An Umbrella to Shield Text Generator from Out-Of-Distribution Data.
EMNLP
Maxime Darrin, Pablo Piantanida, Pierre Colombo
2023 J jnl
Unsupervised Layer-wise Score Aggregation for Textual OOD Detection.
CoRR
Maxime Darrin, Guillaume Staerman, Eduardo Dadalto Câmara Gomes, Jackie C. K. Cheung, Pablo Piantanida, Pierre Colombo
2022 J jnl
Rainproof: An Umbrella To Shield Text Generators From Out-Of-Distribution Data.
CoRR
Maxime Darrin, Pablo Piantanida, Pierre Colombo