Ioana Baldini

According to our database, Ioana Baldini authored at least 36 papers between 2013 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Alignment Studio: Aligning Large Language Models to Particular Contextual Regulations.

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

CoRR, 2024

Detectors for Safe and Reliable LLMs: Implementations, Uses, and Limitations.

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

CoRR, 2024

Fairness-Aware Structured Pruning in Transformers.

Abdelrahman Zayed, Gonçalo Mordido, Samira Shabanian, Ioana Baldini, Sarath Chandar

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

SocialStigmaQA: A Benchmark to Uncover Stigma Amplification in Generative Language Models.

Manish Nagireddy, Lamogha Chiazor, Moninder Singh, Ioana Baldini

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Subtle Misogyny Detection and Mitigation: An Expert-Annotated Dataset.

Brooklyn Sheppard, Anna Richter, Allison Cohen, Elizabeth Allyn Smith, Tamara Kneese, Carolyne Pelletier, Ioana Baldini, Yue Dong

CoRR, 2023

Keeping Up with the Language Models: Robustness-Bias Interplay in NLI Data and Models.

Ioana Baldini, Chhavi Yadav, Payel Das, Kush R. Varshney

CoRR, 2023

Explainable Cross-Topic Stance Detection for Search Results.

Tim Draws, Karthikeyan Natesan Ramamurthy, Ioana Baldini, Amit Dhurandhar, Inkit Padhi, Benjamin Timmermans, Nava Tintarev

Proceedings of the 2023 Conference on Human Information Interaction and Retrieval, 2023

Stress-Testing Bias Mitigation Algorithms to Understand Fairness Vulnerabilities.

Karan Bhanot, Ioana Baldini, Dennis Wei, Jiaming Zeng, Kristin P. Bennett

Proceedings of the 2023 AAAI/ACM Conference on AI, Ethics, and Society, 2023

2022

Downstream Fairness Caveats with Synthetic Healthcare Data.

Karan Bhanot, Ioana Baldini, Dennis Wei, Jiaming Zeng, Kristin P. Bennett

CoRR, 2022

Evaluating Fairness of Synthetic Healthcare Data Models.

Karan Bhanot, Ioana Baldini, Dennis Wei, Jiaming Zeng, Kristin P. Bennett

Proceedings of the AMIA 2022, 2022

Write It Like You See It: Detectable Differences in Clinical Notes by Race Lead to Differential Model Recommendations.

Hammaad Adam, Ming-Ying Yang, Kenrick Cato, Ioana Baldini, Charles Senteio, Leo Anthony Celi, Jiaming Zeng, Moninder Singh, Marzyeh Ghassemi

Proceedings of the AIES '22: AAAI/ACM Conference on AI, Ethics, and Society, Oxford, United Kingdom, May 19, 2022

Your fairness may vary: Pretrained language model fairness in toxic text classification.

Ioana Baldini, Dennis Wei, Karthikeyan Natesan Ramamurthy, Moninder Singh, Mikhail Yurochkin

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2022, 2022

2021

Ground-Truth, Whose Truth? - Examining the Challenges with Annotating Toxic Text Datasets.

Kofi Arhin, Ioana Baldini, Dennis Wei, Karthikeyan Natesan Ramamurthy, Moninder Singh

CoRR, 2021

Your fairness may vary: Group fairness of pretrained language models in toxic text classification.

Ioana Baldini, Dennis Wei, Karthikeyan Natesan Ramamurthy, Mikhail Yurochkin, Moninder Singh

CoRR, 2021

Automated Meta-Analysis: A Causal Learning Perspective.

Lu Cheng, Dmitriy A. Katz-Rogozhnikov, Kush R. Varshney, Ioana Baldini

CoRR, 2021

Biomedical Interpretable Entity Representations.

Diego García-Olano, Yasumasa Onoe, Ioana Baldini, Joydeep Ghosh, Byron C. Wallace, Kush R. Varshney

Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021

Biomedical Corpus Filtering: A Weak Supervision Paradigm With Infused Domain Expertise.

Sejal Dua, Ioana Baldini, Dmitriy A. Katz-Rogozhnikov, Emily van der Veen, Allison Britt, Pradeep Mangalath, Laura B. Kleiman, Catherine Del Vecchio Fitz

Proceedings of the Workshop on Scientific Document Understanding co-located with 35th AAAI Conference on Artificial Inteligence, 2021

Exploring the Efficacy of Generic Drugs in Treating Cancer.

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

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

A Natural Language Processing System for Extracting Evidence of Drug Repurposing from Scientific Publications.

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

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

How Data ScientistsWork Together With Domain Experts in Scientific Collaborations: To Find The Right Answer Or To Ask The Right Question?

Yaoli Mao, Dakuo Wang, Michael J. Muller, Kush R. Varshney, Ioana Baldini, Casey Dugan, Aleksandra Mojsilovic

Proc. ACM Hum. Comput. Interact., 2019

Drug Repurposing for Cancer: An NLP Approach to Identify Low-Cost Therapies.

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

CoRR, 2019

How Data Scientists Work Together With Domain Experts in Scientific Collaborations: To Find The Right Answer Or To Ask The Right Question?

Yaoli Mao, Dakuo Wang, Michael J. Muller, Kush R. Varshney, Ioana Baldini, Casey Dugan, Aleksandra Mojsilovic

CoRR, 2019

Reports of the AAAI 2019 Spring Symposium Series.

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

AI Mag., 2019

2018

Teaching machines to understand data science code by semantic enrichment of dataflow graphs.

Evan Patterson, Ioana Baldini, Aleksandra Mojsilovic, Kush R. Varshney

CoRR, 2018

Semantic Representation of Data Science Programs.

Evan Patterson, Ioana Baldini, Aleksandra Mojsilovic, Kush R. Varshney

Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Data Driven Techniques for Organizing Scientific Articles Relevant to Biomimicry.

Yuanshuo Zhao, Ioana Baldini, Prasanna Sattigeri, Inkit Padhi, Yoong Keok Lee, Ethan Smith

Proceedings of the 2018 AAAI/ACM Conference on AI, Ethics, and Society, 2018

2017

Dataflow representation of data analyses: Toward a platform for collaborative data science.

Evan Patterson, Robert N. McBurney, H. Schmidt, Ioana Baldini, Aleksandra Mojsilovic, Kush R. Varshney

IBM J. Res. Dev., 2017

Serverless Computing: Current Trends and Open Problems.

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

CoRR, 2017

The serverless trilemma: function composition for serverless computing.

Ioana Baldini, Perry Cheng, Stephen J. Fink, Nick Mitchell, Vinod Muthusamy, Rodric Rabbah, Philippe Suter, Olivier Tardieu

Proceedings of the 2017 ACM SIGPLAN International Symposium on New Ideas, 2017

Machine Representation of Data Analyses: Towards a Platform for Collaborative Data Science.

Evan Patterson, Ioana Baldini, Aleksandra Mojsilovic, Kush R. Varshney

Proceedings of the 2017 AAAI Spring Symposia, 2017

Serverless Computing: Current Trends and Open Problems.

Ioana Baldini, Paul C. Castro, Kerry Shih-Ping Chang, Perry Cheng, Stephen Fink, Vatche Ishakian, Nick Mitchell, Vinod Muthusamy, Rodric Rabbah, Aleksander Slominski, Philippe Suter

Proceedings of the Research Advances in Cloud Computing, 2017

2016

Cloud-native, event-based programming for mobile applications.

Ioana Baldini, Paul C. Castro, Perry Cheng, Stephen J. Fink, Vatche Ishakian, Nick Mitchell, Vinod Muthusamy, Rodric Rabbah, Philippe Suter

Proceedings of the International Conference on Mobile Software Engineering and Systems, 2016

2015

Self-contained, accurate precomputation prefetching.

Islam Atta, Xin Tong, Vijayalakshmi Srinivasan, Ioana Baldini, Andreas Moshovos

Proceedings of the 48th International Symposium on Microarchitecture, 2015

CanaryAdvisor: a statistical-based tool for canary testing (demo).

Alexander Tarvo, Peter F. Sweeney, Nick Mitchell, V. T. Rajan, Matthew Arnold, Ioana Baldini

Proceedings of the 2015 International Symposium on Software Testing and Analysis, 2015

2014

Predicting GPU Performance from CPU Runs Using Machine Learning.

Ioana Baldini, Stephen J. Fink, Erik R. Altman

Proceedings of the 26th IEEE International Symposium on Computer Architecture and High Performance Computing, 2014

2013

The Liquid Metal Blokus Duo Design.

Erik R. Altman, Joshua S. Auerbach, David F. Bacon, Ioana Baldini, Perry Cheng, Stephen J. Fink, Rodric M. Rabbah

Proceedings of the 2013 International Conference on Field-Programmable Technology, 2013