Compiling Questions into Balanced Quizzes about Documents. - Cristina Menghini; Jessica Dehler-Zufferey; Robert West 001 (CIKM, 2018)

Wikipedia Polarization and Its Effects on Navigation Paths. - Cristina Menghini; Aris Anagnostopoulos; Eli Upfal (IEEE BigData, 2019)

Principal Fairness: Removing Bias via Projections. - Aris Anagnostopoulos; Luca Becchetti; Matteo Böhm; Adriano Fazzone; Stefano Leonardi 001; Cristina Menghini; Chris Schwiegelshohn (CoRR, 2019)

Spectral Relaxations and Fair Densest Subgraphs. - Aris Anagnostopoulos; Luca Becchetti; Adriano Fazzone; Cristina Menghini; Chris Schwiegelshohn (CIKM, 2020)

Wikipedia's Network Bias on Controversial Topics. - Cristina Menghini; Aris Anagnostopoulos; Eli Upfal (CoRR, 2020)

How Inclusive Are Wikipedia's Hyperlinks in Articles Covering Polarizing Topics? - Cristina Menghini; Aris Anagnostopoulos; Eli Upfal (IEEE BigData, 2021)

RePBubLik: Reducing Polarized Bubble Radius with Link Insertions. - Shahrzad Haddadan; Cristina Menghini; Matteo Riondato; Eli Upfal (WSDM, 2021)

Algorithms for fair k-clustering with multiple protected attributes. - Matteo Böhm; Adriano Fazzone; Stefano Leonardi 001; Cristina Menghini; Chris Schwiegelshohn (Oper. Res. Lett., 2021)

TAGLETS: A System for Automatic Semi-Supervised Learning with Auxiliary Data. - Wasu Piriyakulkij; Cristina Menghini; Ross Briden; Nihal V. Nayak; Jeffrey Zhu; Elaheh Raisi; Stephen H. Bach (MLSys, 2022)

Tight Lower Bounds on Worst-Case Guarantees for Zero-Shot Learning with Attributes. - Alessio Mazzetto; Cristina Menghini; Andrew Yuan; Eli Upfal; Stephen H. Bach (NeurIPS, 2022)

The Drift of #MyBodyMyChoice Discourse on Twitter. - Cristina Menghini; Justin Uhr; Shahrzad Haddadan; Ashley Champagne; Björn Sandstede; Sohini Ramachandran (WebSci, 2022)

Reducing polarization and increasing diverse navigability in graphs by inserting edges and swapping edge weights. - Shahrzad Haddadan; Cristina Menghini; Matteo Riondato; Eli Upfal (Data Min. Knowl. Discov., 2022)

Enhancing CLIP with CLIP: Exploring Pseudolabeling for Limited-Label Prompt Tuning. - Cristina Menghini; Andrew Delworth; Stephen H. Bach (NeurIPS, 2023)

Low-Resource Languages Jailbreak GPT-4. - Zheng Xin Yong; Cristina Menghini; Stephen H. Bach (CoRR, 2023)

If CLIP Could Talk: Understanding Vision-Language Model Representations Through Their Preferred Concept Descriptions. - Reza Esfandiarpoor; Cristina Menghini; Stephen H. Bach (EMNLP, 2024)

LexC-Gen: Generating Data for Extremely Low-Resource Languages with Large Language Models and Bilingual Lexicons. - Zheng Xin Yong; Cristina Menghini; Stephen H. Bach (EMNLP (Findings), 2024)

LLM Defenses Are Not Robust to Multi-Turn Human Jailbreaks Yet. - Nathaniel Li; Ziwen Han; Ian Steneker; Willow Primack; Riley Goodside; Hugh Zhang; Zifan Wang 001; Cristina Menghini; Summer Yue (CoRR, 2024)

EnigmaEval: A Benchmark of Long Multimodal Reasoning Challenges. - Clinton J. Wang; Dean Lee; Cristina Menghini; Johannes Mols; Jack Doughty; Adam Khoja; Jayson Lynch; Sean Hendryx; Summer Yue; Dan Hendrycks (CoRR, 2025)

Fair Projections as a Means toward Balanced Recommendations. - Aris Anagnostopoulos; Luca Becchetti; Matteo Böhm; Adriano Fazzone; Stefano Leonardi 001; Cristina Menghini; Chris Schwiegelshohn (ACM Trans. Intell. Syst. Technol., 2025)

The MASK Benchmark: Disentangling Honesty From Accuracy in AI Systems. - Richard Ren; Arunim Agarwal; Mantas Mazeika; Cristina Menghini; Robert Vacareanu; Brad Kenstler; Mick Yang; Isabelle Barrass; Alice Gatti; Xuwang Yin; Eduardo Trevino; Matias Geralnik; et al. (CoRR, 2025)