Normal myocardial native T1 values in children using single‐point saturation recovery and modified look–locker inversion recovery (MOLLI) von Burkhardt, Barbara Elisabeth Ursula, Menghini, Cristina, Rücker, Beate, Kellenberger, Christian Johannes, Valsangiacomo Buechel, Emanuela Regina

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Not That Heart-Stopping After All: Visuo-Cardiac Synchrony Does Not Boost Self-Face Attribution von Porciello, Giuseppina, Daum, Moritz M, Menghini, Cristina, Brugger, Peter, Lenggenhager, Bigna

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Reducing polarization and increasing diverse navigability in graphs by inserting edges and swapping edge weights von Haddadan, Shahrzad, Menghini, Cristina, Riondato, Matteo, Upfal, Eli

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Fair Projections as a Means Towards Balanced Recommendations von Anagnostopoulos, Aris, Becchetti, Luca, Böhm, Matteo, Fazzone, Adriano, Leonardi, Stefano, Menghini, Cristina, Schwiegelshohn, Chris

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Algorithms for fair k-clustering with multiple protected attributes von Böhm, Matteo, Fazzone, Adriano, Leonardi, Stefano, Menghini, Cristina, Schwiegelshohn, Chris

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Normal myocardial native T 1 values in children using single-point saturation recovery and modified look-locker inversion recovery (MOLLI) von Burkhardt, Barbara Elisabeth Ursula, Menghini, Cristina, Rücker, Beate, Kellenberger, Christian Johannes, Valsangiacomo Buechel, Emanuela Regina

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Normal myocardial native T$_{1}$ values in children using single-point saturation recovery and modified look-locker inversion recovery (MOLLI) von Burkhardt, Barbara Elisabeth Ursula, Menghini, Cristina, Rücker, Beate, Kellenberger, Christian Johannes, Valsangiacomo Buechel, Emanuela Regina

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If CLIP Could Talk: Understanding Vision-Language Model Representations Through Their Preferred Concept Descriptions von Esfandiarpoor, Reza, Menghini, Cristina, Bach, Stephen H

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Enhancing CLIP with CLIP: Exploring Pseudolabeling for Limited-Label Prompt Tuning von Menghini, Cristina, Delworth, Andrew, Bach, Stephen H

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LexC-Gen: Generating Data for Extremely Low-Resource Languages with Large Language Models and Bilingual Lexicons von Yong, Zheng-Xin, Menghini, Cristina, Bach, Stephen H

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How Inclusive Are Wikipedia's Hyperlinks in Articles Covering Polarizing Topics? von Menghini, Cristina, Anagnostopoulos, Aris, Upfal, Eli

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Low-Resource Languages Jailbreak GPT-4 von Yong, Zheng-Xin, Menghini, Cristina, Bach, Stephen H

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If CLIP Could Talk: Understanding Vision-Language Model Representations Through Their Preferred Concept Descriptions von Esfandiarpoor, Reza, Menghini, Cristina, Bach, Stephen H

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LLM Defenses Are Not Robust to Multi-Turn Human Jailbreaks Yet von Li, Nathaniel, Han, Ziwen, Steneker, Ian, Primack, Willow, Goodside, Riley, Zhang, Hugh, Wang, Zifan, Menghini, Cristina, Yue, Summer

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Enhancing CLIP with CLIP: Exploring Pseudolabeling for Limited-Label Prompt Tuning von Menghini, Cristina, Delworth, Andrew, Bach, Stephen H

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RePBubLik: Reducing the Polarized Bubble Radius with Link Insertions von Haddadan, Shahrzad, Menghini, Cristina, Riondato, Matteo, Upfal, Eli

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LexC-Gen: Generating Data for Extremely Low-Resource Languages with Large Language Models and Bilingual Lexicons von Zheng-Xin, Yong, Menghini, Cristina, Bach, Stephen H

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Tight Lower Bounds on Worst-Case Guarantees for Zero-Shot Learning with Attributes von Mazzetto, Alessio, Menghini, Cristina, Yuan, Andrew, Upfal, Eli, Bach, Stephen H

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The Drift of #MyBodyMyChoice Discourse on Twitter von Menghini, Cristina, Uhr, Justin, Haddadan, Shahrzad, Champagne, Ashley, Sandstede, Bjorn, Ramachandran, Sohini

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

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