Cristina Gârbacea

Computer Science · University of Michigan

Mid career · publishing since 2014

Topic Modeling Natural Language Processing Techniques Text Readability and Simplification Multimodal Machine Learning Applications Advanced Text Analysis Techniques

Publications

Citations

985

Est. group size

—

Recurring co-author estimate

Active years

Publishing since 2014

In context

Among 784 mid career Computer Science PIs within our index

Citations: 985cohort median 434

Publications / year (recent): 2.0cohort median 3.8

Typically publishes in teams of ~4 · 40% small-team papers (≤3 authors) · across 3 venues

Publication cadence

Publications per year over the last 10 years — averaging 2.0/year recently

Collaborators per year

Distinct co-authors at University of Michigan each year — a rough indication of whether the group around this researcher has been growing or contracting. An estimate from co-authorship, not a roster: collaborators are not necessarily lab members, and recent years can be under-counted while indexing catches up.

Recent publications

Personalized Benchmarking: Evaluating LLMs by Individual Preferences
2026
Personalized Benchmarking: Evaluating LLMs by Individual Preferences
Underline Science Inc. · 2026
HyPerAlign: Interpretable Personalized LLM Alignment via Hypothesis Generation
arXiv (Cornell University) · 2025
BoNBoN Alignment for Large Language Models and the Sweetness of Best-of-n Sampling
2024
BoNBoN Alignment for Large Language Models and the Sweetness of Best-of-n Sampling
arXiv (Cornell University) · 2024
RATE: Causal Explainability of Reward Models with Imperfect Counterfactuals
arXiv (Cornell University) · 2024
GEMv2: Multilingual NLG Benchmarking in a Single Line of Code
2022
Why is constrained neural language generation particularly challenging?
arXiv (Cornell University) · 2022
GEMv2: Multilingual NLG Benchmarking in a Single Line of Code
arXiv (Cornell University) · 2022
The GEM Benchmark: Natural Language Generation, its Evaluation and Metrics
2021
The GEM Benchmark: Natural Language Generation, its Evaluation and Metrics
arXiv (Cornell University) · 2021
Explainable Prediction of Text Complexity: The Missing Preliminaries for Text Simplification
2021
Neural Language Generation: Formulation, Methods, and Evaluation
arXiv (Cornell University) · 2020
An Empirical Study on Explainable Prediction of Text Complexity: Preliminaries for Text Simplification.
arXiv (Cornell University) · 2020
UMSIForeseer at SemEval-2020 Task 11: Propaganda Detection by Fine-Tuning BERT with Resampling and Ensemble Learning
2020

Publishes in

arXiv (Cornell University)×11
Lecture notes in computer science×1
Underline Science Inc.×1

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By research-topic overlap

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He Zhou
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This profile was generated automatically from public scholarly data (OpenAlex). Group size and activity levels are estimates derived from co-authorship patterns.

Last updated Jul 25, 2026.

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