Feature Selection and Data Sampling Methods for Learning Reputation Dimensions. - Cristina Gârbacea; Manos Tsagkias; Maarten de Rijke (CLEF (Working Notes), 2014)

Detecting the Reputation Polarity of Microblog Posts. - Cristina Gârbacea; Manos Tsagkias; Maarten de Rijke (ECAI, 2014)

Supporting Exploration of Historical Perspectives Across Collections. - Daan Odijk; Cristina Gârbacea; Thomas Schoegje; Laura Hollink; Victor de Boer; Kees Ribbens; Jacco van Ossenbruggen (TPDL, 2015)

Combining Multiple Signals for Semanticizing Tweets: University of Amsterdam at #Microposts2015. - Cristina Gârbacea; Daan Odijk; David Graus; Isaac Sijaranamual; Maarten de Rijke (#MSM, 2015)

The University of Amsterdam (ILPS.UvA) at TREC 2015 Temporal Summarization Track. - Cristina Garbacea; Evangelos Kanoulas (TREC, 2015)

A Systematic Analysis of Sentence Update Detection for Temporal Summarization. - Cristina Gârbacea; Evangelos Kanoulas (ECIR, 2017)

Judge the Judges: A Large-Scale Evaluation Study of Neural Language Models for Online Review Generation. - Cristina Garbacea; Samuel Carton; Shiyan Yan; Qiaozhu Mei (EMNLP/IJCNLP (1), 2019)

Low Bit-rate Speech Coding with VQ-VAE and a WaveNet Decoder. - Cristina Gârbacea; Aäron van den Oord; Yazhe Li; Felicia S. C. Lim; Alejandro Luebs; Oriol Vinyals; Thomas C. Walters (ICASSP, 2019)

UMSIForeseer at SemEval-2020 Task 11: Propaganda Detection by Fine-Tuning BERT with Resampling and Ensemble Learning. - Yunzhe Jiang; Cristina Garbacea; Qiaozhu Mei (SemEval@COLING, 2020)

Neural Language Generation: Formulation, Methods, and Evaluation. - Cristina Garbacea; Qiaozhu Mei (CoRR, 2020)

An Empirical Study on Explainable Prediction of Text Complexity: Preliminaries for Text Simplification. - Cristina Garbacea; Mengtian Guo; Samuel Carton; Qiaozhu Mei (CoRR, 2020)

Explainable Prediction of Text Complexity: The Missing Preliminaries for Text Simplification. - Cristina Garbacea; Mengtian Guo; Samuel Carton; Qiaozhu Mei (ACL/IJCNLP (1), 2021)

The GEM Benchmark: Natural Language Generation, its Evaluation and Metrics. - Sebastian Gehrmann; Tosin P. Adewumi; Karmanya Aggarwal; Pawan Sasanka Ammanamanchi; Aremu Anuoluwapo; Antoine Bosselut; Khyathi Raghavi Chandu; Miruna-Adriana Clinciu; Dipanjan Das 001; Kaustubh D. Dhole; Wanyu Du; Esin Durmus; et al. (CoRR, 2021)

Adapting Pre-trained Language Models to Low-Resource Text Simplification: The Path Matters. - Cristina Garbacea; Qiaozhu Mei (CoLLAs, 2022)

GEMv2: Multilingual NLG Benchmarking in a Single Line of Code. - Sebastian Gehrmann; Abhik Bhattacharjee; Abinaya Mahendiran; Alex Wang; Alexandros Papangelis; Aman Madaan; Angelina McMillan-Major; Anna Shvets; Ashish Upadhyay; Bingsheng Yao; Bryan Wilie; Chandra Bhagavatula; et al. (CoRR, 2022)

Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models. - Aarohi Srivastava; Abhinav Rastogi; Abhishek Rao; Abu Awal Md Shoeb; Abubakar Abid; Adam Fisch; Adam R. Brown; Adam Santoro; Aditya Gupta; Adrià Garriga-Alonso; Agnieszka Kluska; Aitor Lewkowycz; et al. (Trans. Mach. Learn. Res., 2023)

BoNBoN Alignment for Large Language Models and the Sweetness of Best-of-n Sampling. - Lin Gui 007; Cristina Garbacea; Victor Veitch (NeurIPS, 2024)

RATE: Score Reward Models with Imperfect Rewrites of Rewrites. - David Reber; Sean Richardson; Todd Nief; Cristina Garbacea; Victor Veitch (CoRR, 2024)

Why is constrained neural language generation particularly challenging? - Cristina Garbacea; Qiaozhu Mei (Trans. Mach. Learn. Res., 2025)

Evaluating the Goal-Directedness of Large Language Models. - Tom Everitt; Cristina Garbacea; Alexis Bellot; Jonathan Richens; Henry Papadatos; Siméon Campos; Rohin Shah (CoRR, 2025)

HyPerAlign: Interpretable Personalized LLM Alignment via Hypothesis Generation. - Cristina Garbacea; Chenhao Tan (CoRR, 2025)