Germán Kruszewski
15 papers · 2014–2025 · 6 venues · across top CS/AI venues
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Achievements
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🐣 Hot Topic Early Bird 🌍 Conference Polyglot · Silver 🏃 Academic Marathon · Half 🌉 Interdisciplinary Bridge · Silver 🗺️ Taxonomy Completionist (35)
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Keyword Pioneer
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Century Club · Bronze
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The Questioner
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Keyword Collector
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Research topics
Artificial Intelligence
(8)
Natural Language Processing
(7)
Core AI
(7)
Deep Learning
(6)
Machine Learning
(6)
Learning Types · Machine Learning
(4)
Core Methods
(3)
Generation
(3)
Learning Types · Deep Learning
(3)
Models
(3)
Resources & Methods
(3)
Optimization & Theory
(2)
Mathematics & Optimization
(1)
Reinforcement Learning
(1)
Application Areas
(1)
Keywords
language model
(4)
generative model
(2)
reinforcement learning
(2)
distribution matching
(2)
language model alignment
(2)
representation learning
(2)
preference alignment
(2)
large language model
(2)
policy gradient
(2)
semantic representation
(1)
conditional generation
(1)
logistic regression
(1)
kl divergence
(1)
reinforcement learning from human feedback
(1)
natural language inference
(1)
sentiment analysis
(1)
reward maximization
(1)
importance sampling
(1)
marginal probability
(1)
parameter efficient
(1)
Papers
FaST: Feature-aware Sampling and Tuning for Personalized Preference Alignment with Limited Data
EMNLP 2025
Compositional Preference Models for Aligning LMs
ICLR 2024
Aligning Language Models with Preferences through f-divergence Minimization
ICML 2023
disco: a toolkit for Distributional Control of Generative Models
ACL 2023
Should you marginalize over possible tokenizations?
ACL 2023
Controlling Conditional Language Models without Catastrophic Forgetting
ICML 2022
On Reinforcement Learning and Distribution Matching for Fine-Tuning Language Models with no Catastrophic Forgetting
NeurIPS 2022
Cooperative Learning of Disjoint Syntax and Semantics
NAACL 2019
The emergence of number and syntax units in LSTM language models
NAACL 2019
What you can cram into a single $&!#* vector: Probing sentence embeddings for linguistic properties
ACL 2018
Convolutional Neural Network Language Models
EMNLP 2016
The LAMBADA dataset: Word prediction requiring a broad discourse context
ACL 2016
Jointly optimizing word representations for lexical and sentential tasks with the C-PHRASE model
ACL 2015
So similar and yet incompatible: Toward the automated identification of semantically compatible words
NAACL 2015
Don’t count, predict! A systematic comparison of context-counting vs. context-predicting semantic vectors
ACL 2014