Lucas Torroba Hennigen

According to our database1, Lucas Torroba Hennigen authored at least 16 papers between 2020 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Links

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Bibliography

2023
Principled Gradient-based Markov Chain Monte Carlo for Text Generation.
CoRR, 2023

Towards Verifiable Text Generation with Symbolic References.
CoRR, 2023

Learning to Grow Pretrained Models for Efficient Transformer Training.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

An Ordinal Latent Variable Model of Conflict Intensity.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

Deriving Language Models from Masked Language Models.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), 2023

Generalizing Backpropagation for Gradient-Based Interpretability.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

A Measure-Theoretic Characterization of Tight Language Models.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

A Latent-Variable Model for Intrinsic Probing.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
Same Neurons, Different Languages: Probing Morphosyntax in Multilingual Pre-trained Models.
Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

UniMorph 4.0: Universal Morphology.
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Proceedings of the Thirteenth Language Resources and Evaluation Conference, 2022

Probing as Quantifying Inductive Bias.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

2021
Probing as Quantifying the Inductive Bias of Pre-trained Representations.
CoRR, 2021

Classifying Dyads for Militarized Conflict Analysis.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

2020

Intrinsic Probing through Dimension Selection.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

Machine Reading of Historical Events.
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020


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