Florian Mai

39 papers A* 3A 2B 1Journal 24Unranked 9
YearRankTypeTitle / Venue / Authors
2026 J jnl
Raising Bars, Not Parameters: LilMoo Compact Language Model for Hindi.
CoRR
Shiza Fatimah, Aniket Sen, Sophia Falk, Florian Mai, Lucie Flek, Nicholas Kluge Corrêa
2026 J jnl
Understanding Artificial Theory of Mind: Perturbed Tasks and Reasoning in Large Language Models.
CoRR
Christian Nickel, Laura Schrewe, Florian Mai, Lucie Flek
2025 J jnl
AI Alignment Strategies from a Risk Perspective: Independent Safety Mechanisms or Shared Failures?
CoRR
Leonard Dung, Florian Mai
2025 J jnl
IKnow: Instruction-Knowledge-Aware Continual Pretraining for Effective Domain Adaptation.
CoRR
Tianyi Zhang, Florian Mai, Lucie Flek
2025 J jnl
In-Training Defenses against Emergent Misalignment in Language Models.
CoRR
David Kaczér, Magnus Jørgenvåg, Clemens Vetter, Lucie Flek, Florian Mai
2025 A* conf
Judging Quality Across Languages: A Multilingual Approach to Pretraining Data Filtering with Language Models.
EMNLP
Mehdi Ali, Manuel Brack, Max Lübbering, Elias Wendt, Abbas Goher Khan, Richard Rutmann, Alex Jude, Maurice Kraus, Alexander Arno Weber, Felix Stollenwerk, David Kaczér, Florian Mai, Lucie Flek, Rafet Sifa, Nicolas Flores-Herr, Joachim Köhler, Patrick Schramowski, Michael Fromm, Kristian Kersting
2025 J jnl
Judging Quality Across Languages: A Multilingual Approach to Pretraining Data Filtering with Language Models.
CoRR
Mehdi Ali, Manuel Brack, Max Lübbering, Elias Wendt, Abbas Goher Khan, Richard Rutmann, Alex Jude, Maurice Kraus, Alexander Arno Weber, David Kaczér, Florian Mai, Lucie Flek, Rafet Sifa, Nicolas Flores-Herr, Joachim Köhler, Patrick Schramowski, Michael Fromm, Kristian Kersting
2025 J jnl
Superalignment with Dynamic Human Values.
CoRR
Florian Mai, David Kaczér, Nicholas Kluge Corrêa, Lucie Flek
2025 J jnl
Survey-to-Behavior: Downstream Alignment of Human Values in LLMs via Survey Questions.
CoRR
Shangrui Nie, Florian Mai, David Kaczér, Charles Welch, Zhixue Zhao, Lucie Flek
2024 J jnl
End-to-end Planner Training for Language Modeling.
CoRR
Nathan Cornille, Florian Mai, Jingyuan Sun, Marie-Francine Moens
2024 J jnl
Learning to Plan Long-Term for Language Modeling.
CoRR
Florian Mai, Nathan Cornille, Marie-Francine Moens
2024 J jnl
Learning to Plan for Language Modeling from Unlabeled Data.
CoRR
Nathan Cornille, Marie-Francine Moens, Florian Mai
2024 J jnl
Open-Source Conversational AI with SpeechBrain 1.0.
CoRR
Mirco Ravanelli, Titouan Parcollet, Adel Moumen, Sylvain de Langen, Cem Subakan, Peter Plantinga, Yingzhi Wang, Pooneh Mousavi, Luca Della Libera, Artem Ploujnikov, Francesco Paissan, Davide Borra, Salah Zaiem, Zeyu Zhao, Shucong Zhang, Georgios Karakasidis, Sung-Lin Yeh, Pierre Champion, Aku Rouhe, Rudolf Braun, Florian Mai, Juan Zuluaga-Gomez, Seyed Mahed Mousavi, Andreas Nautsch, Xuechen Liu, Sangeet Sagar, Jarod Duret, Salima Mdhaffar, Gaëlle Laperrière, Mickael Rouvier, Renato De Mori, Yannick Estève
2024 J jnl
Open-Source Conversational AI with SpeechBrain 1.0.
J. Mach. Learn. Res.
Mirco Ravanelli, Titouan Parcollet, Adel Moumen, Sylvain de Langen, Cem Subakan, Peter Plantinga, Yingzhi Wang, Pooneh Mousavi, Luca Della Libera, Artem Ploujnikov, Francesco Paissan, Davide Borra, Salah Zaiem, Zeyu Zhao, Shucong Zhang, Georgios Karakasidis, Sung-Lin Yeh, Pierre Champion, Aku Rouhe, Rudolf Braun, Florian Mai, Juan Zuluaga-Gomez, Seyed Mahed Mousavi, Andreas Nautsch, Ha Nguyen, Xuechen Liu, Sangeet Sagar, Jarod Duret, Salima Mdhaffar, Gaëlle Laperrière, Mickael Rouvier, Renato De Mori, Yannick Estève
2024 — conf
Triple-Encoders: Representations That Fire Together, Wire Together.
ACL (1)
Justus-Jonas Erker, Florian Mai, Nils Reimers, Gerasimos Spanakis, Iryna Gurevych
2024 J jnl
Triple-Encoders: Representations That Fire Together, Wire Together.
CoRR
Justus-Jonas Erker, Florian Mai, Nils Reimers, Gerasimos Spanakis, Iryna Gurevych
2023 A* conf
BQ-NCO: Bisimulation Quotienting for Efficient Neural Combinatorial Optimization.
NeurIPS
Darko Drakulic, Sofia Michel, Florian Mai, Arnaud Sors, Jean-Marc Andreoli
2023 J jnl
BQ-NCO: Bisimulation Quotienting for Generalizable Neural Combinatorial Optimization.
CoRR
Darko Drakulic, Sofia Michel, Florian Mai, Arnaud Sors, Jean-Marc Andreoli
2023 A conf
HyperConformer: Multi-head HyperMixer for Efficient Speech Recognition.
INTERSPEECH
Florian Mai, Juan Zuluaga-Gomez, Titouan Parcollet, Petr Motlícek
2023 J jnl
HyperConformer: Multi-head HyperMixer for Efficient Speech Recognition.
CoRR
Florian Mai, Juan Zuluaga-Gomez, Titouan Parcollet, Petr Motlícek
2023 — conf
HyperMixer: An MLP-based Low Cost Alternative to Transformers.
ACL (1)
Florian Mai, Arnaud Pannatier, Fabio Fehr, Haolin Chen, François Marelli, François Fleuret, James Henderson
2022 — conf
Bag-of-Vectors Autoencoders for Unsupervised Conditional Text Generation.
AACL/IJCNLP (1)
Florian Mai, James Henderson
2022 J jnl
HyperMixer: An MLP-based Green AI Alternative to Transformers.
CoRR
Florian Mai, Arnaud Pannatier, Fabio Fehr, Haolin Chen, François Marelli, François Fleuret, James Henderson
2021 J jnl
Bag-of-Vectors Autoencoders for Unsupervised Conditional Text Generation.
CoRR
Florian Mai, James Henderson
2020 A* conf
Optimizer Benchmarking Needs to Account for Hyperparameter Tuning.
ICML
Prabhu Teja Sivaprasad, Florian Mai, Thijs Vogels, Martin Jaggi, François Fleuret
2020 — conf
Plug and Play Autoencoders for Conditional Text Generation.
EMNLP (1)
Florian Mai, Nikolaos Pappas, Ivan Montero, Noah A. Smith, James Henderson
2020 J jnl
Plug and Play Autoencoders for Conditional Text Generation.
CoRR
Florian Mai, Nikolaos Pappas, Ivan Montero, Noah A. Smith, James Henderson
2019 — conf
CBOW Is Not All You Need: Combining CBOW with the Compositional Matrix Space Model.
ICLR (Poster)
Florian Mai, Lukas Galke, Ansgar Scherp
2019 J jnl
CBOW Is Not All You Need: Combining CBOW with the Compositional Matrix Space Model.
CoRR
Florian Mai, Lukas Galke, Ansgar Scherp
2019 J jnl
Multi-Modal Adversarial Autoencoders for Recommendations of Citations and Subject Labels.
CoRR
Lukas Galke, Florian Mai, Iacopo Vagliano, Ansgar Scherp
2019 J jnl
On the Tunability of Optimizers in Deep Learning.
CoRR
Prabhu Teja Sivaprasad, Florian Mai, Thijs Vogels, Martin Jaggi, François Fleuret
2019 — conf
What If We Encoded Words as Matrices and Used Matrix Multiplication as Composition Function?
GI-Jahrestagung
Lukas Galke, Florian Mai, Ansgar Scherp
2018 A conf
Multi-Modal Adversarial Autoencoders for Recommendations of Citations and Subject Labels.
UMAP
Lukas Galke, Florian Mai, Iacopo Vagliano, Ansgar Scherp
2018 — conf
Using Adversarial Autoencoders for Multi-Modal Automatic Playlist Continuation.
RecSys Challenge
Iacopo Vagliano, Lukas Galke, Florian Mai, Ansgar Scherp
2018 J jnl
Using Deep Learning For Title-Based Semantic Subject Indexing To Reach Competitive Performance to Full-Text.
CoRR
Florian Mai, Lukas Galke, Ansgar Scherp
2018 — conf
Using Deep Learning for Title-Based Semantic Subject Indexing to Reach Competitive Performance to Full-Text.
JCDL
Florian Mai, Lukas Galke, Ansgar Scherp
2017 J jnl
Comparing Titles vs. Full-text for Multi-Label Classification of Scientific Papers and News Articles.
CoRR
Lukas Galke, Florian Mai, Alan Schelten, Dennis Brunsch, Ansgar Scherp
2017 — conf
Reranking-based Recommender System with Deep Learning.
GI-Jahrestagung
Ahmed Saleh, Florian Mai, Chifumi Nishioka, Ansgar Scherp
2017 B conf
Using Titles vs. Full-text as Source for Automated Semantic Document Annotation.
K-CAP
Lukas Galke, Florian Mai, Alan Schelten, Dennis Brunsch, Ansgar Scherp