Lucas Torroba Hennigen
14 papers · 2020–2025 · 6 conferences · across top CS/AI conferences
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Conferences
ACL (7)
EMNLP (2)
ICML (2)
AAAI (1)
ICLR (1)
NAACL (1)
Top co-authors
Keywords
representation learning
(3)
neural network
(2)
latent variable model
(2)
language modeling
(2)
conflict analysis
(2)
multilingual model
(2)
intrinsic probing
(2)
bayesian inference
(1)
feature extraction
(1)
probabilistic modeling
(1)
multilingual nlp
(1)
data augmentation
(1)
information retrieval
(1)
masked language model
(1)
graph classification
(1)
multivariate gaussian
(1)
variational inference
(1)
text understanding
(1)
graph representation
(1)
feature embedding
(1)
Papers
On the Duality between Gradient Transformations and Adapters
ICML 2025
Principled Gradient-Based MCMC for Conditional Sampling of Text
ICML 2024
A Latent-Variable Model for Intrinsic Probing
AAAI 2023
An Ordinal Latent Variable Model of Conflict Intensity
ACL 2023
A Measure-Theoretic Characterization of Tight Language Models
ACL 2023
Generalizing Backpropagation for Gradient-Based Interpretability
ACL 2023
Deriving Language Models from Masked Language Models
ACL 2023
Learning to Grow Pretrained Models for Efficient Transformer Training
ICLR 2023
Probing as Quantifying Inductive Bias
ACL 2022
Same Neurons, Different Languages: Probing Morphosyntax in Multilingual Pre-trained Models
NAACL 2022
Classifying Dyads for Militarized Conflict Analysis
EMNLP 2021
Intrinsic Probing through Dimension Selection
EMNLP 2020
SIGMORPHON 2020 Shared Task 0: Typologically Diverse Morphological Inflection
ACL 2020
Machine Reading of Historical Events
ACL 2020