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Cristina Menghini
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2020 – today
- 2024
- [c11]Reza Esfandiarpoor, Cristina Menghini, Stephen H. Bach:
If CLIP Could Talk: Understanding Vision-Language Model Representations Through Their Preferred Concept Descriptions. EMNLP 2024: 9797-9819 - [c10]Zheng Xin Yong, Cristina Menghini, Stephen H. Bach:
LexC-Gen: Generating Data for Extremely Low-Resource Languages with Large Language Models and Bilingual Lexicons. EMNLP (Findings) 2024: 13990-14009 - [i11]Zheng Xin Yong, Cristina Menghini, Stephen H. Bach:
LexC-Gen: Generating Data for Extremely Low-Resource Languages with Large Language Models and Bilingual Lexicons. CoRR abs/2402.14086 (2024) - [i10]Reza Esfandiarpoor, Cristina Menghini, Stephen H. Bach:
If CLIP Could Talk: Understanding Vision-Language Model Representations Through Their Preferred Concept Descriptions. CoRR abs/2403.16442 (2024) - [i9]Nathaniel Li, Ziwen Han, Ian Steneker, Willow Primack, Riley Goodside, Hugh Zhang, Zifan Wang, Cristina Menghini, Summer Yue:
LLM Defenses Are Not Robust to Multi-Turn Human Jailbreaks Yet. CoRR abs/2408.15221 (2024) - 2023
- [c9]Cristina Menghini, Andrew Delworth, Stephen H. Bach:
Enhancing CLIP with CLIP: Exploring Pseudolabeling for Limited-Label Prompt Tuning. NeurIPS 2023 - [i8]Cristina Menghini, Andrew Delworth, Stephen H. Bach:
Enhancing CLIP with CLIP: Exploring Pseudolabeling for Limited-Label Prompt Tuning. CoRR abs/2306.01669 (2023) - [i7]Zheng Xin Yong, Cristina Menghini, Stephen H. Bach:
Low-Resource Languages Jailbreak GPT-4. CoRR abs/2310.02446 (2023) - 2022
- [j2]Shahrzad Haddadan, Cristina Menghini, Matteo Riondato, Eli Upfal:
Reducing polarization and increasing diverse navigability in graphs by inserting edges and swapping edge weights. Data Min. Knowl. Discov. 36(6): 2334-2378 (2022) - [c8]Wasu Piriyakulkij, Cristina Menghini, Ross Briden, Nihal V. Nayak, Jeffrey Zhu, Elaheh Raisi, Stephen H. Bach:
TAGLETS: A System for Automatic Semi-Supervised Learning with Auxiliary Data. MLSys 2022 - [c7]Alessio Mazzetto, Cristina Menghini, Andrew Yuan, Eli Upfal, Stephen H. Bach:
Tight Lower Bounds on Worst-Case Guarantees for Zero-Shot Learning with Attributes. NeurIPS 2022 - [c6]Cristina Menghini, Justin Uhr, Shahrzad Haddadan, Ashley Champagne, Björn Sandstede, Sohini Ramachandran:
The Drift of #MyBodyMyChoice Discourse on Twitter. WebSci 2022: 110-117 - [i6]Cristina Menghini, Justin Uhr, Shahrzad Haddadan, Ashley Champagne, Björn Sandstede, Sohini Ramachandran:
The Drift of #MyBodyMyChoice Discourse on Twitter. CoRR abs/2205.04898 (2022) - [i5]Alessio Mazzetto, Cristina Menghini, Andrew Yuan, Eli Upfal, Stephen H. Bach:
Tight Lower Bounds on Worst-Case Guarantees for Zero-Shot Learning with Attributes. CoRR abs/2205.13068 (2022) - 2021
- [j1]Matteo Böhm, Adriano Fazzone, Stefano Leonardi, Cristina Menghini, Chris Schwiegelshohn:
Algorithms for fair k-clustering with multiple protected attributes. Oper. Res. Lett. 49(5): 787-789 (2021) - [c5]Cristina Menghini, Aris Anagnostopoulos, Eli Upfal:
How Inclusive Are Wikipedia's Hyperlinks in Articles Covering Polarizing Topics? IEEE BigData 2021: 1300-1307 - [c4]Shahrzad Haddadan, Cristina Menghini, Matteo Riondato, Eli Upfal:
RePBubLik: Reducing Polarized Bubble Radius with Link Insertions. WSDM 2021: 139-147 - [i4]Shahrzad Haddadan, Cristina Menghini, Matteo Riondato, Eli Upfal:
RePBubLik: Reducing the Polarized Bubble Radius with Link Insertions. CoRR abs/2101.04751 (2021) - [i3]Wasu Piriyakulkij, Cristina Menghini, Ross Briden, Nihal V. Nayak, Jeffrey Zhu, Elaheh Raisi, Stephen H. Bach:
TAGLETS: A System for Automatic Semi-Supervised Learning with Auxiliary Data. CoRR abs/2111.04798 (2021) - 2020
- [c3]Aris Anagnostopoulos, Luca Becchetti, Adriano Fazzone, Cristina Menghini, Chris Schwiegelshohn:
Spectral Relaxations and Fair Densest Subgraphs. CIKM 2020: 35-44 - [i2]Cristina Menghini, Aris Anagnostopoulos, Eli Upfal:
Wikipedia's Network Bias on Controversial Topics. CoRR abs/2007.08197 (2020)
2010 – 2019
- 2019
- [c2]Cristina Menghini, Aris Anagnostopoulos, Eli Upfal:
Wikipedia Polarization and Its Effects on Navigation Paths. IEEE BigData 2019: 6154-6156 - [i1]Aris Anagnostopoulos, Luca Becchetti, Matteo Böhm, Adriano Fazzone, Stefano Leonardi, Cristina Menghini, Chris Schwiegelshohn:
Principal Fairness: \\ Removing Bias via Projections. CoRR abs/1905.13651 (2019) - 2018
- [c1]Cristina Menghini, Jessica Dehler-Zufferey, Robert West:
Compiling Questions into Balanced Quizzes about Documents. CIKM 2018: 1519-1522
Coauthor Index
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