Ioana Baldini

48 papers A* 7A 1B 2C 4Misc 1Journal 21Unranked 11
YearRankTypeTitle / Venue / Authors
2025 — conf
SHADES: Towards a Multilingual Assessment of Stereotypes in Large Language Models.
NAACL (Long Papers)
Margaret Mitchell, Giuseppe Attanasio, Ioana Baldini, Miruna Clinciu, Jordan Clive, Pieter Delobelle, Manan Dey, Sil Hamilton, Timm Dill, Jad Doughman, Ritam Dutt, Avijit Ghosh, Jessica Zosa Forde, Carolin Holtermann, Lucie-Aimée Kaffee, Tanmay Laud, Anne Lauscher, Roberto L. Lopez-Davila, Maraim Masoud, Nikita Nangia, Anaelia Ovalle, Giada Pistilli, Dragomir Radev, Beatrice Savoldi, Vipul Raheja, Jeremy Qin, Esther Ploeger, Arjun Subramonian, Kaustubh D. Dhole, Kaiser Sun, Amirbek Djanibekov, Jonibek Mansurov, Kayo Yin, Emilio Villa Cueva, Sagnik Mukherjee, Jerry Huang, Xudong Shen, Jay Gala, Hamdan Al-Ali, Tair Djanibekov, Nurdaulet Mukhituly, Shangrui Nie, Shanya Sharma, Karolina Stanczak, Eliza Szczechla, Tiago Timponi Torrent, Deepak Tunuguntla, Marcelo Viridiano, Oskar van der Wal, Adina Yakefu, Aurélie Névéol, Mike Zhang, Sydney Zink, Zeerak Talat
2024 J jnl
Alignment Studio: Aligning Large Language Models to Particular Contextual Regulations.
CoRR
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
2024 J jnl
Alignment Studio: Aligning Large Language Models to Particular Contextual Regulations.
IEEE Internet Comput.
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
2024 — conf
Better Bias Benchmarking of Language Models via Multi-factor Analysis.
AFME
Hannah Powers, Ioana Baldini, Dennis Wei, Kristin P. Bennett
2024 — conf
Biasly: An Expert-Annotated Dataset for Subtle Misogyny Detection and Mitigation.
ACL (Findings)
Brooklyn Sheppard, Anna Richter, Allison Cohen, Elizabeth Allyn Smith, Tamara Kneese, Carolyne Pelletier, Ioana Baldini, Yue Dong
2024 A* conf
DARE to Diversify: DAta Driven and Diverse LLM REd Teaming.
KDD
Manish Nagireddy, Bernat Guillen Pegueroles, Ioana Baldini
2024 J jnl
Detectors for Safe and Reliable LLMs: Implementations, Uses, and Limitations.
CoRR
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
2024 A* conf
Fairness-Aware Structured Pruning in Transformers.
AAAI
Abdelrahman Zayed, Gonçalo Mordido, Samira Shabanian, Ioana Baldini, Sarath Chandar
2024 A* conf
SocialStigmaQA: A Benchmark to Uncover Stigma Amplification in Generative Language Models.
AAAI
Manish Nagireddy, Lamogha Chiazor, Moninder Singh, Ioana Baldini
2024 — conf
Why Don't Prompt-Based Fairness Metrics Correlate?
ACL (1)
Abdelrahman Zayed, Gonçalo Mordido, Ioana Baldini, Sarath Chandar
2024 J jnl
Why Don't Prompt-Based Fairness Metrics Correlate?
CoRR
Abdelrahman Zayed, Gonçalo Mordido, Ioana Baldini, Sarath Chandar
2023 B conf
Adversarial Auditing of Machine Learning Models under Compound Shift.
ESANN
Karan Bhanot, Dennis Wei, Ioana Baldini, Kristin P. Bennett
2023 B conf
Explainable Cross-Topic Stance Detection for Search Results.
CHIIR
Tim Draws, Karthikeyan Natesan Ramamurthy, Ioana Baldini, Amit Dhurandhar, Inkit Padhi, Benjamin Timmermans, Nava Tintarev
2023 J jnl
Fairness-Aware Structured Pruning in Transformers.
CoRR
Abdelrahman Zayed, Gonçalo Mordido, Samira Shabanian, Ioana Baldini, Sarath Chandar
2023 J jnl
Keeping Up with the Language Models: Robustness-Bias Interplay in NLI Data and Models.
CoRR
Ioana Baldini, Chhavi Yadav, Payel Das, Kush R. Varshney
2023 J jnl
SocialStigmaQA: A Benchmark to Uncover Stigma Amplification in Generative Language Models.
CoRR
Manish Nagireddy, Lamogha Chiazor, Moninder Singh, Ioana Baldini
2023 C conf
Stress-Testing Bias Mitigation Algorithms to Understand Fairness Vulnerabilities.
AIES
Karan Bhanot, Ioana Baldini, Dennis Wei, Jiaming Zeng, Kristin P. Bennett
2023 J jnl
Subtle Misogyny Detection and Mitigation: An Expert-Annotated Dataset.
CoRR
Brooklyn Sheppard, Anna Richter, Allison Cohen, Elizabeth Allyn Smith, Tamara Kneese, Carolyne Pelletier, Ioana Baldini, Yue Dong
2022 J jnl
Downstream Fairness Caveats with Synthetic Healthcare Data.
CoRR
Karan Bhanot, Ioana Baldini, Dennis Wei, Jiaming Zeng, Kristin P. Bennett
2022 Misc conf
Evaluating Fairness of Synthetic Healthcare Data Models.
AMIA
Karan Bhanot, Ioana Baldini, Dennis Wei, Jiaming Zeng, Kristin P. Bennett
2022 J jnl
Write It Like You See It: Detectable Differences in Clinical Notes By Race Lead To Differential Model Recommendations.
CoRR
Hammaad Adam, Ming-Ying Yang, Kenrick Cato, Ioana Baldini, Charles Senteio, Leo Anthony Celi, Jiaming Zeng, Moninder Singh, Marzyeh Ghassemi
2022 C conf
Write It Like You See It: Detectable Differences in Clinical Notes by Race Lead to Differential Model Recommendations.
AIES
Hammaad Adam, Ming-Ying Yang, Kenrick Cato, Ioana Baldini, Charles Senteio, Leo Anthony Celi, Jiaming Zeng, Moninder Singh, Marzyeh Ghassemi
2022 — conf
Your fairness may vary: Pretrained language model fairness in toxic text classification.
ACL (Findings)
Ioana Baldini, Dennis Wei, Karthikeyan Natesan Ramamurthy, Moninder Singh, Mikhail Yurochkin
2021 J jnl
Automated Meta-Analysis: A Causal Learning Perspective.
CoRR
Lu Cheng, Dmitriy A. Katz-Rogozhnikov, Kush R. Varshney, Ioana Baldini
2021 — conf
Biomedical Corpus Filtering: A Weak Supervision Paradigm With Infused Domain Expertise.
SDU@AAAI
Sejal Dua, Ioana Baldini, Dmitriy A. Katz-Rogozhnikov, Emily van der Veen, Allison Britt, Pradeep Mangalath, Laura B. Kleiman, Catherine Del Vecchio Fitz
2021 — conf
Biomedical Interpretable Entity Representations.
ACL/IJCNLP (Findings)
Diego Garcia-Olano, Yasumasa Onoe, Ioana Baldini, Joydeep Ghosh, Byron C. Wallace, Kush R. Varshney
2021 J jnl
Biomedical Interpretable Entity Representations.
CoRR
Diego Garcia-Olano, Yasumasa Onoe, Ioana Baldini, Joydeep Ghosh, Byron C. Wallace, Kush R. Varshney
2021 A* conf
Exploring the Efficacy of Generic Drugs in Treating Cancer.
AAAI
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
2021 J jnl
Ground-Truth, Whose Truth? - Examining the Challenges with Annotating Toxic Text Datasets.
CoRR
Kofi Arhin, Ioana Baldini, Dennis Wei, Karthikeyan Natesan Ramamurthy, Moninder Singh
2021 J jnl
Your fairness may vary: Group fairness of pretrained language models in toxic text classification.
CoRR
Ioana Baldini, Dennis Wei, Karthikeyan Natesan Ramamurthy, Mikhail Yurochkin, Moninder Singh
2020 A* conf
A Natural Language Processing System for Extracting Evidence of Drug Repurposing from Scientific Publications.
AAAI
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
2019 J jnl
Drug Repurposing for Cancer: An NLP Approach to Identify Low-Cost Therapies.
CoRR
Shivashankar Subramanian, Ioana Baldini, Sushma Ravichandran, Dmitriy A. Katz, Karthikeyan Natesan Ramamurthy, Prasanna Sattigeri, Kush R. Varshney, Annmarie Wang, Pradeep Mangalath, Laura B. Kleiman
2019 J jnl
How Data Scientists Work Together With Domain Experts in Scientific Collaborations: To Find The Right Answer Or To Ask The Right Question?
CoRR
Yaoli Mao, Dakuo Wang, Michael J. Muller, Kush R. Varshney, Ioana Baldini, Casey Dugan, Aleksandra Mojsilovic
2019 J jnl
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.
Yaoli Mao, Dakuo Wang, Michael J. Muller, Kush R. Varshney, Ioana Baldini, Casey Dugan, Aleksandra Mojsilovic
2019 J jnl
Reports of the AAAI 2019 Spring Symposium Series.
AI Mag.
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
2018 C conf
Data Driven Techniques for Organizing Scientific Articles Relevant to Biomimicry.
AIES
Yuanshuo Zhao, Ioana Baldini, Prasanna Sattigeri, Inkit Padhi, Yoong Keok Lee, Ethan Smith
2018 A* conf
Semantic Representation of Data Science Programs.
IJCAI
Evan Patterson, Ioana Baldini, Aleksandra Mojsilovic, Kush R. Varshney
2018 J jnl
Teaching machines to understand data science code by semantic enrichment of dataflow graphs.
CoRR
Evan Patterson, Ioana Baldini, Aleksandra Mojsilovic, Kush R. Varshney
2017 J jnl
Dataflow representation of data analyses: Toward a platform for collaborative data science.
IBM J. Res. Dev.
Evan Patterson, Robert N. McBurney, H. Schmidt, Ioana Baldini, Aleksandra Mojsilovic, Kush R. Varshney
2017 — conf
Machine Representation of Data Analyses: Towards a Platform for Collaborative Data Science.
AAAI Spring Symposia
Evan Patterson, Ioana Baldini, Aleksandra Mojsilovic, Kush R. Varshney
2017 — ch.
Serverless Computing: Current Trends and Open Problems.
Research Advances in Cloud Computing
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
2017 J jnl
Serverless Computing: Current Trends and Open Problems.
CoRR
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
2017 — conf
The serverless trilemma: function composition for serverless computing.
Onward!
Ioana Baldini, Perry Cheng, Stephen J. Fink, Nick Mitchell, Vinod Muthusamy, Rodric Rabbah, Philippe Suter, Olivier Tardieu
2016 — conf
Cloud-native, event-based programming for mobile applications.
MOBILESoft
Ioana Baldini, Paul C. Castro, Perry Cheng, Stephen J. Fink, Vatche Ishakian, Nick Mitchell, Vinod Muthusamy, Rodric Rabbah, Philippe Suter
2015 A conf
CanaryAdvisor: a statistical-based tool for canary testing (demo).
ISSTA
Alexander Tarvo, Peter F. Sweeney, Nick Mitchell, V. T. Rajan, Matthew Arnold, Ioana Baldini
2015 A* conf
Self-contained, accurate precomputation prefetching.
MICRO
Islam Atta, Xin Tong, Vijayalakshmi Srinivasan, Ioana Baldini, Andreas Moshovos
2014 C conf
Predicting GPU Performance from CPU Runs Using Machine Learning.
SBAC-PAD
Ioana Baldini, Stephen J. Fink, Erik R. Altman
2013 — conf
The Liquid Metal Blokus Duo Design.
FPT
Erik R. Altman, Joshua S. Auerbach, David F. Bacon, Ioana Baldini, Perry Cheng, Stephen J. Fink, Rodric M. Rabbah