Ioana Baldini

Publication Activity (10 Years)

Years Active: 2013-2024
Publications (10 Years): 40

Top Topics

Top Venues

Publications

Brooklyn Sheppard, Anna Richter, Allison Cohen, Elizabeth Allyn Smith, Tamara Kneese, Carolyne Pelletier, Ioana Baldini, Yue Dong
Biasly: An Expert-Annotated Dataset for Subtle Misogyny Detection and Mitigation. ACL (Findings) (2024)
Swapnaja Achintalwar, Ioana Baldini, Djallel Bouneffouf, Joan Byamugisha, Maria Chang, Pierre L. Dognin, Eitan Farchi, Ndivhuwo Makondo, Aleksandra Mojsilovic, Manish Nagireddy, Karthikeyan Natesan Ramamurthy, Inkit Padhi, Orna Raz, Jesus Rios, Prasanna Sattigeri, Moninder Singh, Siphiwe Thwala, Rosario A. Uceda-Sosa, Kush R. Varshney
Alignment Studio: Aligning Large Language Models to Particular Contextual Regulations. CoRR (2024)
Manish Nagireddy, Bernat Guillen Pegueroles, Ioana Baldini
DARE to Diversify: DAta Driven and Diverse LLM REd Teaming. KDD (2024)
Abdelrahman Zayed, Gonçalo Mordido, Ioana Baldini, Sarath Chandar
Why Don't Prompt-Based Fairness Metrics Correlate? ACL (1) (2024)
Abdelrahman Zayed, Gonçalo Mordido, Ioana Baldini, Sarath Chandar
Why Don't Prompt-Based Fairness Metrics Correlate? CoRR (2024)
Swapnaja Achintalwar, Adriana Alvarado Garcia, Ateret Anaby-Tavor, Ioana Baldini, Sara E. Berger, Bishwaranjan Bhattacharjee, Djallel Bouneffouf, Subhajit Chaudhury, Pin-Yu Chen, Lamogha Chiazor, Elizabeth M. Daly, Rogério Abreu de Paula, Pierre L. Dognin, Eitan Farchi, Soumya Ghosh, Michael Hind, Raya Horesh, George Kour, Ja Young Lee, Erik Miehling, Keerthiram Murugesan, Manish Nagireddy, Inkit Padhi, David Piorkowski, Ambrish Rawat, Orna Raz, Prasanna Sattigeri, Hendrik Strobelt, Sarathkrishna Swaminathan, Christoph Tillmann, Aashka Trivedi, Kush R. Varshney, Dennis Wei, Shalisha Witherspoon, Marcel Zalmanovici
Detectors for Safe and Reliable LLMs: Implementations, Uses, and Limitations. CoRR (2024)
Abdelrahman Zayed, Gonçalo Mordido, Samira Shabanian, Ioana Baldini, Sarath Chandar
Fairness-Aware Structured Pruning in Transformers. AAAI (2024)
Manish Nagireddy, Lamogha Chiazor, Moninder Singh, Ioana Baldini
SocialStigmaQA: A Benchmark to Uncover Stigma Amplification in Generative Language Models. AAAI (2024)
Abdelrahman Zayed, Gonçalo Mordido, Samira Shabanian, Ioana Baldini, Sarath Chandar
Fairness-Aware Structured Pruning in Transformers. CoRR (2023)
Ioana Baldini, Chhavi Yadav, Payel Das, Kush R. Varshney
Keeping Up with the Language Models: Robustness-Bias Interplay in NLI Data and Models. CoRR (2023)
Manish Nagireddy, Lamogha Chiazor, Moninder Singh, Ioana Baldini
SocialStigmaQA: A Benchmark to Uncover Stigma Amplification in Generative Language Models. CoRR (2023)
Karan Bhanot, Dennis Wei, Ioana Baldini, Kristin P. Bennett
Adversarial Auditing of Machine Learning Models under Compound Shift. ESANN (2023)
Brooklyn Sheppard, Anna Richter, Allison Cohen, Elizabeth Allyn Smith, Tamara Kneese, Carolyne Pelletier, Ioana Baldini, Yue Dong
Subtle Misogyny Detection and Mitigation: An Expert-Annotated Dataset. CoRR (2023)
Karan Bhanot, Ioana Baldini, Dennis Wei, Jiaming Zeng, Kristin P. Bennett
Stress-Testing Bias Mitigation Algorithms to Understand Fairness Vulnerabilities. AIES (2023)
Tim Draws, Karthikeyan Natesan Ramamurthy, Ioana Baldini, Amit Dhurandhar, Inkit Padhi, Benjamin Timmermans, Nava Tintarev
Explainable Cross-Topic Stance Detection for Search Results. CHIIR (2023)
Hammaad Adam, Ming-Ying Yang, Kenrick Cato, Ioana Baldini, Charles Senteio, Leo Anthony Celi, Jiaming Zeng, Moninder Singh, Marzyeh Ghassemi
Write It Like You See It: Detectable Differences in Clinical Notes by Race Lead to Differential Model Recommendations. AIES (2022)
Karan Bhanot, Ioana Baldini, Dennis Wei, Jiaming Zeng, Kristin P. Bennett
Evaluating Fairness of Synthetic Healthcare Data Models. AMIA (2022)
Hammaad Adam, Ming-Ying Yang, Kenrick Cato, Ioana Baldini, Charles Senteio, Leo Anthony Celi, Jiaming Zeng, Moninder Singh, Marzyeh Ghassemi
Write It Like You See It: Detectable Differences in Clinical Notes By Race Lead To Differential Model Recommendations. CoRR (2022)
Ioana Baldini, Dennis Wei, Karthikeyan Natesan Ramamurthy, Moninder Singh, Mikhail Yurochkin
Your fairness may vary: Pretrained language model fairness in toxic text classification. ACL (Findings) (2022)
Karan Bhanot, Ioana Baldini, Dennis Wei, Jiaming Zeng, Kristin P. Bennett
Downstream Fairness Caveats with Synthetic Healthcare Data. CoRR (2022)
Ioana Baldini, Mariana Bernagozzi, Sulbha Aggarwal, Mihaela A. Bornea, Saksham Chawla, Joppe Geluykens, Dmitriy A. Katz-Rogozhnikov, Pratik Mukherjee, Smruthi Ramesh, Sara Rosenthal, Jagrati Sharma, Kush R. Varshney, Laura B. Kleiman, Pradeep Mangalath, Catherine Del Vecchio Fitz
Exploring the Efficacy of Generic Drugs in Treating Cancer. AAAI (2021)
Sejal Dua, Ioana Baldini, Dmitriy A. Katz-Rogozhnikov, Emily van der Veen, Allison Britt, Pradeep Mangalath, Laura B. Kleiman, Catherine Del Vecchio Fitz
Biomedical Corpus Filtering: A Weak Supervision Paradigm With Infused Domain Expertise. SDU@AAAI (2021)
Kofi Arhin, Ioana Baldini, Dennis Wei, Karthikeyan Natesan Ramamurthy, Moninder Singh
Ground-Truth, Whose Truth? - Examining the Challenges with Annotating Toxic Text Datasets. CoRR (2021)
Lu Cheng, Dmitriy A. Katz-Rogozhnikov, Kush R. Varshney, Ioana Baldini
Automated Meta-Analysis: A Causal Learning Perspective. CoRR (2021)
Diego García-Olano, Yasumasa Onoe, Ioana Baldini, Joydeep Ghosh, Byron C. Wallace, Kush R. Varshney
Biomedical Interpretable Entity Representations. CoRR (2021)
Diego García-Olano, Yasumasa Onoe, Ioana Baldini, Joydeep Ghosh, Byron C. Wallace, Kush R. Varshney
Biomedical Interpretable Entity Representations. ACL/IJCNLP (Findings) (2021)
Ioana Baldini, Dennis Wei, Karthikeyan Natesan Ramamurthy, Mikhail Yurochkin, Moninder Singh
Your fairness may vary: Group fairness of pretrained language models in toxic text classification. CoRR (2021)
Shivashankar Subramanian, Ioana Baldini, Sushma Ravichandran, Dmitriy A. Katz-Rogozhnikov, Karthikeyan Natesan Ramamurthy, Prasanna Sattigeri, Kush R. Varshney, Annmarie Wang, Pradeep Mangalath, Laura B. Kleiman
A Natural Language Processing System for Extracting Evidence of Drug Repurposing from Scientific Publications. AAAI (2020)
Ioana Baldini, Clark W. Barrett, Antonio Chella, Carlos Cinelli, David Gamez, Leilani H. Gilpin, Knut Hinkelmann, Dylan Holmes, Takashi Kido, Murat Kocaoglu, William F. Lawless, Alessio Lomuscio, Jamie C. Macbeth, Andreas Martin, Ranjeev Mittu, Evan Patterson, Donald Sofge, Prasad Tadepalli, Keiki Takadama, Shomir Wilson
Reports of the AAAI 2019 Spring Symposium Series. AI Mag. 40 (3) (2019)
Shivashankar Subramanian, Ioana Baldini, Sushma Ravichandran, Dmitriy A. Katz-Rogozhnikov, Karthikeyan Natesan Ramamurthy, Prasanna Sattigeri, Kush R. Varshney, Annmarie Wang, Pradeep Mangalath, Laura B. Kleiman
Drug Repurposing for Cancer: An NLP Approach to Identify Low-Cost Therapies. CoRR (2019)
Yaoli Mao, Dakuo Wang, Michael J. Muller, Kush R. Varshney, Ioana Baldini, Casey Dugan, Aleksandra Mojsilovic
How Data ScientistsWork Together With Domain Experts in Scientific Collaborations: To Find The Right Answer Or To Ask The Right Question? Proc. ACM Hum. Comput. Interact. 3 (GROUP) (2019)
Yaoli Mao, Dakuo Wang, Michael J. Muller, Kush R. Varshney, Ioana Baldini, Casey Dugan, Aleksandra Mojsilovic
How Data Scientists Work Together With Domain Experts in Scientific Collaborations: To Find The Right Answer Or To Ask The Right Question? CoRR (2019)
Evan Patterson, Ioana Baldini, Aleksandra Mojsilovic, Kush R. Varshney
Teaching machines to understand data science code by semantic enrichment of dataflow graphs. CoRR (2018)
Evan Patterson, Ioana Baldini, Aleksandra Mojsilovic, Kush R. Varshney
Semantic Representation of Data Science Programs. IJCAI (2018)
Yuanshuo Zhao, Ioana Baldini, Prasanna Sattigeri, Inkit Padhi, Yoong Keok Lee, Ethan Smith
Data Driven Techniques for Organizing Scientific Articles Relevant to Biomimicry. AIES (2018)
Evan Patterson, Robert N. McBurney, H. Schmidt, Ioana Baldini, Aleksandra Mojsilovic, Kush R. Varshney
Dataflow representation of data analyses: Toward a platform for collaborative data science. IBM J. Res. Dev. 61 (6) (2017)
Ioana Baldini, Paul C. Castro, Kerry Shih-Ping Chang, Perry Cheng, Stephen J. Fink, Vatche Ishakian, Nick Mitchell, Vinod Muthusamy, Rodric M. Rabbah, Aleksander Slominski, Philippe Suter
Serverless Computing: Current Trends and Open Problems. CoRR (2017)
Evan Patterson, Ioana Baldini, Aleksandra Mojsilovic, Kush R. Varshney
Machine Representation of Data Analyses: Towards a Platform for Collaborative Data Science. AAAI Spring Symposia (2017)
Ioana Baldini, Perry Cheng, Stephen J. Fink, Nick Mitchell, Vinod Muthusamy, Rodric Rabbah, Philippe Suter, Olivier Tardieu
The serverless trilemma: function composition for serverless computing. Onward! (2017)
Ioana Baldini, Paul C. Castro, Perry Cheng, Stephen J. Fink, Vatche Ishakian, Nick Mitchell, Vinod Muthusamy, Rodric Rabbah, Philippe Suter
Cloud-native, event-based programming for mobile applications. MOBILESoft (2016)
Alexander Tarvo, Peter F. Sweeney, Nick Mitchell, V. T. Rajan, Matthew Arnold, Ioana Baldini
CanaryAdvisor: a statistical-based tool for canary testing (demo). ISSTA (2015)
Islam Atta, Xin Tong, Vijayalakshmi Srinivasan, Ioana Baldini, Andreas Moshovos
Self-contained, accurate precomputation prefetching. MICRO (2015)
Ioana Baldini, Stephen J. Fink, Erik R. Altman
Predicting GPU Performance from CPU Runs Using Machine Learning. SBAC-PAD (2014)
Erik R. Altman, Joshua S. Auerbach, David F. Bacon, Ioana Baldini, Perry Cheng, Stephen J. Fink, Rodric M. Rabbah
The Liquid Metal Blokus Duo Design. FPT (2013)