Please check my Google Scholar page for the latest updates.
2026 Large Language Models Should Learn Personalized Rather Than Aggregated Human Preferences
Cristina Gârbacea
arXiv preprint arXiv:2606.07629 , 2026
Personalized Benchmarking: Evaluating LLMs by Individual Preferences
Cristina Gârbacea , Heran Wang, and Chenhao Tan
In Findings of the Association for Computational Linguistics: ACL 2026 , 2026
2025 Hyperalign: Interpretable Personalized LLM Alignment via Hypothesis Generation
Cristina Gârbacea and Chenhao Tan
arXiv preprint arXiv:2505.00038 , 2025
Evaluating the Goal-Directedness of Large Language Models
Tom Everitt * , Cristina Gârbacea * , Alexis Bellot, and 4 more authors
arXiv preprint arXiv:2504.11844 , 2025
Why is Constrained Neural Language Generation Particularly Challenging?
Cristina Gârbacea and Qiaozhu Mei
Transactions on Machine Learning Research , 2025
RATE: Causal Explainability of Reward Models with Imperfect Counterfactuals
David Reber, Sean M Richardson, Todd Nief, and 2 more authors
In Forty-second International Conference on Machine Learning , 2025
2024 Bonbon Alignment for Large Language Models and the Sweetness of Best-of-N Sampling
Lin Gui, Cristina Gârbacea , and Victor Veitch
Advances in Neural Information Processing Systems , 2024
2023 Neural language generation for content adaptation: Explainable, efficient low-resource text simplification and evaluation
Georgeta-Cristina Gârbacea
University of Michigan , 2023
Beyond the imitation game: Quantifying and extrapolating the capabilities of language models
Aarohi Srivastava, Abhinav Rastogi, Abhishek Rao, and 8 more authors
Transactions on machine learning research , 2023
What’s your Use Case? A Taxonomy of Causal Evaluations of Post-hoc Interpretability
David Reber, Cristina Gârbacea , and Victor Veitch
In Causal Representation Learning Workshop at NeurIPS 2023 , 2023
2022 GEM v2: Multilingual NLG benchmarking in a single line of code
Sebastian Gehrmann, Abhik Bhattacharjee, Abinaya Mahendiran, and 8 more authors
In Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing: System Demonstrations , 2022
Adapting pre-trained language models to low-resource text simplification: The path matters
Cristina Gârbacea and Qiaozhu Mei
In Conference on Lifelong Learning Agents , 2022
Speech coding using content latent embedding vectors and speaker latent embedding vectors
Cristina Gârbacea , Aaron Gerard Antonius Oord, Yazhe Li, and 4 more authors
2022
US Patent 11,257,507
2021 The GEM benchmark: Natural language generation, its evaluation and metrics
Sebastian Gehrmann, Tosin Adewumi, Karmanya Aggarwal, and 8 more authors
In Proceedings of the 1st Workshop on Natural Language Generation, Evaluation, and Metrics (GEM 2021) , 2021
Explainable prediction of text complexity: The missing preliminaries for text simplification
Cristina Gârbacea , Mengtian Guo, Samuel Carton, and 1 more author
In Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers) , 2021
2020 Neural language generation: Formulation, methods, and evaluation
Cristina Gârbacea and Qiaozhu Mei
arXiv preprint arXiv:2007.15780 , 2020
UMSIForeseer at SemEval-2020 Task 11: Propaganda detection by fine-tuning BERT with resampling and ensemble learning
Yunzhe Jiang, Cristina Gârbacea , and Qiaozhu Mei
In Proceedings of the Fourteenth Workshop on Semantic Evaluation , 2020
2019 Low bit-rate speech coding with VQ-VAE and a WaveNet decoder
Cristina Gârbacea , Aäron Oord, Yazhe Li, and 4 more authors
In ICASSP 2019-2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) , 2019
Judge the judges: A large-scale evaluation study of neural language models for online review generation
Cristina Gârbacea , Samuel Carton, Shiyan Yan, and 1 more author
In Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP) , 2019
2017 A Systematic Analysis of Sentence Update Detection for Temporal Summarization
Cristina Gârbacea and Evangelos Kanoulas
In European Conference on Information Retrieval , 2017
2016 Temporal Summarization of News Streams
Georgeta-Cristina Gârbacea
University of Amsterdam , 2016
2015 Supporting exploration of historical perspectives across collections
Daan Odijk, Cristina Gârbacea , Thomas Schoegje, and 4 more authors
In International Conference on Theory and Practice of Digital Libraries , 2015
Combining Multiple Signals for Semanticizing Tweets: University of Amsterdam at# Microposts2015.
Cristina Gârbacea , Daan Odijk, David Graus, and 3 more authors
In # MSM , 2015
The University of Amsterdam (ILPS. UvA) at TREC 2015 Temporal Summarization Track.
Cristina Gârbacea , Evangelos Kanoulas, and others
In TREC , 2015
2014 Detecting the Reputation Polarity of Microblog Posts.
Cristina Gârbacea , Manos Tsagkias, and Maarten Rijke
In ECAI , 2014
Feature Selection and Data Sampling Methods for Learning Reputation Dimensions.
Cristina Gârbacea , Manos Tsagkias, and Maarten Rijke
In CLEF (Working Notes) , 2014