Germán Kruszewski

According to our database, Germán Kruszewski authored at least 34 papers between 2012 and 2023.

Collaborative distances:

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

2023

Compositional preference models for aligning LMs.

Dongyoung Go, Tomasz Korbak, Germán Kruszewski, Jos Rozen, Marc Dymetman

CoRR, 2023

Aligning Language Models with Preferences through f-divergence Minimization.

Dongyoung Go, Tomasz Korbak, Germán Kruszewski, Jos Rozen, Nahyeon Ryu, Marc Dymetman

Proceedings of the International Conference on Machine Learning, 2023

disco: a toolkit for Distributional Control of Generative Models.

Germán Kruszewski, Jos Rozen, Marc Dymetman

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics: System Demonstrations, 2023

Should you marginalize over possible tokenizations?

Nadezhda Chirkova, Germán Kruszewski, Jos Rozen, Marc Dymetman

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), 2023

2022

Emergence of Self-Reproducing Metabolisms as Recursive Algorithms in an Artificial Chemistry.

Germán Kruszewski, Tomás Mikolov

Artif. Life, March, 2022

An approximate sampler for energy-based models with divergence diagnostics.

Bryan Eikema, Germán Kruszewski, Christopher R. Dance, Hady Elsahar, Marc Dymetman

Trans. Mach. Learn. Res., 2022

On Reinforcement Learning and Distribution Matching for Fine-Tuning Language Models with no Catastrophic Forgetting.

Tomasz Korbak, Hady Elsahar, Germán Kruszewski, Marc Dymetman

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Controlling Conditional Language Models without Catastrophic Forgetting.

Tomasz Korbak, Hady Elsahar, Germán Kruszewski, Marc Dymetman

Proceedings of the International Conference on Machine Learning, 2022

2021

Sampling from Discrete Energy-Based Models with Quality/Efficiency Trade-offs.

Bryan Eikema, Germán Kruszewski, Hady Elsahar, Marc Dymetman

CoRR, 2021

Controlling Conditional Language Models with Distributional Policy Gradients.

Tomasz Korbak, Hady Elsahar, Germán Kruszewski, Marc Dymetman

CoRR, 2021

Unsupervised and Distributional Detection of Machine-Generated Text.

Matthias Gallé, Jos Rozen, Germán Kruszewski, Hady Elsahar

CoRR, 2021

Energy-Based Models for Code Generation under Compilability Constraints.

Tomasz Korbak, Hady Elsahar, Marc Dymetman, Germán Kruszewski

CoRR, 2021

2020

Class-Agnostic Continual Learning of Alternating Languages and Domains.

Germán Kruszewski, Ionut-Teodor Sorodoc, Tomás Mikolov

CoRR, 2020

Combinatory Chemistry: Towards a Simple Model of Emergent Evolution.

Germán Kruszewski, Tomás Mikolov

Proceedings of the 2020 Conference on Artificial Life, 2020

Resilient Life: An Exploration of Perturbed Autopoietic Patterns in Conway's Game of Life.

Arta Cika, Elissa Cohen, Germán Kruszewski, Luther Seet, Patrick Steinmann, Wenqian Yin

Proceedings of the 2020 Conference on Artificial Life, 2020

2019

The emergence of number and syntax units in LSTM language models.

Yair Lakretz, Germán Kruszewski, Theo Desbordes, Dieuwke Hupkes, Stanislas Dehaene, Marco Baroni

Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019

Cooperative Learning of Disjoint Syntax and Semantics.

Serhii Havrylov, Germán Kruszewski, Armand Joulin

Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019

The Fast and the Flexible: Training Neural Networks to Learn to Follow Instructions from Small Data.

Rezka Leonandya, Dieuwke Hupkes, Elia Bruni, Germán Kruszewski

Proceedings of the 13th International Conference on Computational Semantics, 2019

2018

Learning compositionally through attentive guidance.

Dieuwke Hupkes, Anand Singh, Kris Korrel, Germán Kruszewski, Elia Bruni

CoRR, 2018

Memorize or generalize? Searching for a compositional RNN in a haystack.

Adam Liska, Germán Kruszewski, Marco Baroni

CoRR, 2018

What you can cram into a single \$&!#* vector: Probing sentence embeddings for linguistic properties.

Alexis Conneau, Germán Kruszewski, Guillaume Lample, Loïc Barrault, Marco Baroni

Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, 2018

2017

CommAI: Evaluating the first steps towards a useful general AI.

Marco Baroni, Armand Joulin, Allan Jabri, Germán Kruszewski, Angeliki Lazaridou, Klemen Simonic, Tomás Mikolov

Proceedings of the 5th International Conference on Learning Representations, 2017

2016

Inference with Distributional Semantic Models.

Germán Kruszewski

PhD thesis, 2016

There Is No Logical Negation Here, But There Are Alternatives: Modeling Conversational Negation with Distributional Semantics.

Germán Kruszewski, Denis Paperno, Raffaella Bernardi, Marco Baroni

Comput. Linguistics, 2016

How Cosmopolitan Are Emojis?: Exploring Emojis Usage and Meaning over Different Languages with Distributional Semantics.

Francesco Barbieri, Germán Kruszewski, Francesco Ronzano, Horacio Saggion

Proceedings of the 2016 ACM Conference on Multimedia Conference, 2016

Convolutional Neural Network Language Models.

Ngoc-Quan Pham, Germán Kruszewski, Gemma Boleda

Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing, 2016

The LAMBADA dataset: Word prediction requiring a broad discourse context.

Denis Paperno, Germán Kruszewski, Angeliki Lazaridou, Quan Ngoc Pham, Raffaella Bernardi, Sandro Pezzelle, Marco Baroni, Gemma Boleda, Raquel Fernández

Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics, 2016

2015

Deriving Boolean Structures from Distributional Vectors.

Germán Kruszewski, Denis Paperno, Marco Baroni

Trans. Assoc. Comput. Linguistics, 2015

So similar and yet incompatible: Toward the automated identification of semantically compatible words.

Germán Kruszewski, Marco Baroni

Proceedings of the NAACL HLT 2015, The 2015 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Denver, Colorado, USA, May 31, 2015

Jointly optimizing word representations for lexical and sentential tasks with the C-PHRASE model.

Nghia The Pham, Germán Kruszewski, Angeliki Lazaridou, Marco Baroni

Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing of the Asian Federation of Natural Language Processing, 2015

2014

Dead parrots make bad pets: Exploring modifier effects in noun phrases.

Germán Kruszewski, Marco Baroni

Proceedings of the Third Joint Conference on Lexical and Computational Semantics, 2014

Don't count, predict! A systematic comparison of context-counting vs. context-predicting semantic vectors.

Marco Baroni, Georgiana Dinu, Germán Kruszewski

Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics, 2014

2012

Generation for Grammar Engineering.

Claire Gardent, Germán Kruszewski

Proceedings of the INLG 2012 - Proceedings of the Seventh International Natural Language Generation Conference, 30 May 2012, 2012

Generating Grammar Exercises.

Laura Perez-Beltrachini, Claire Gardent, Germán Kruszewski

Proceedings of the Seventh Workshop on Building Educational Applications Using NLP, 2012