Ioana Baldini
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
24
Venues
14
Active years
2014–2026
Best venue rank
A*
Where they publish
Papers
24 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | ACL | Domain Generalizable AI Guardrails with Augmented Policy Training. | Minqian Liu, Ioana Baldini, David Rabinowitz, David S. Rosenberg, Sebastian Gehrmann, Mark Dredze |
| 2025 | NAACL | SHADES: Towards a Multilingual Assessment of Stereotypes in Large Language Models. | 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-Aime 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, Aurlie Nvol, Mike Zhang, Sydney Zink, Zeerak Talat |
| 2024 | AAAI | SocialStigmaQA: A Benchmark to Uncover Stigma Amplification in Generative Language Models. | Manish Nagireddy, Lamogha Chiazor, Moninder Singh, Ioana Baldini |
| 2024 | AAAI | Fairness-Aware Structured Pruning in Transformers. | Abdelrahman Zayed, Gonalo Mordido, Samira Shabanian, Ioana Baldini, Sarath Chandar |
| 2024 | ACL | Biasly: An Expert-Annotated Dataset for Subtle Misogyny Detection and Mitigation. | Brooklyn Sheppard, Anna Richter, Allison Cohen, Elizabeth Allyn Smith, Tamara Kneese, Carolyne Pelletier, Ioana Baldini, Yue Dong |
| 2024 | ACL | Why Don't Prompt-Based Fairness Metrics Correlate? | Abdelrahman Zayed, Gonalo Mordido, Ioana Baldini, Sarath Chandar |
| 2024 | KDD | DARE to Diversify: DAta Driven and Diverse LLM REd Teaming. | Manish Nagireddy, Bernat Guillen Pegueroles, Ioana Baldini |
| 2023 | AIES | Stress-Testing Bias Mitigation Algorithms to Understand Fairness Vulnerabilities. | Karan Bhanot, Ioana Baldini, Dennis Wei, Jiaming Zeng, Kristin P. Bennett |
| 2023 | CHIIR | Explainable Cross-Topic Stance Detection for Search Results. | Tim Draws, Karthikeyan Natesan Ramamurthy, Ioana Baldini, Amit Dhurandhar, Inkit Padhi, Benjamin Timmermans, Nava Tintarev |
| 2023 | ESANN | Adversarial Auditing of Machine Learning Models under Compound Shift. | Karan Bhanot, Dennis Wei, Ioana Baldini, Kristin P. Bennett |
| 2022 | ACL | Your fairness may vary: Pretrained language model fairness in toxic text classification. | Ioana Baldini, Dennis Wei, Karthikeyan Natesan Ramamurthy, Moninder Singh, Mikhail Yurochkin |
| 2022 | AIES | 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 |
| 2022 | AMIA | Evaluating Fairness of Synthetic Healthcare Data Models. | Karan Bhanot, Ioana Baldini, Dennis Wei, Jiaming Zeng, Kristin P. Bennett |
| 2021 | AAAI | 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 |
| 2021 | AAAI | 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 |
| 2021 | ACL | Biomedical Interpretable Entity Representations. | Diego Garcia-Olano, Yasumasa Onoe, Ioana Baldini, Joydeep Ghosh, Byron C. Wallace, Kush R. Varshney |
| 2020 | AAAI | 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 |
| 2018 | AIES | Data Driven Techniques for Organizing Scientific Articles Relevant to Biomimicry. | Yuanshuo Zhao, Ioana Baldini, Prasanna Sattigeri, Inkit Padhi, Yoong Keok Lee, Ethan Smith |
| 2018 | IJCAI | Semantic Representation of Data Science Programs. | Evan Patterson, Ioana Baldini, Aleksandra Mojsilovic, Kush R. Varshney |
| 2017 | OOPSLA | 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 |
| 2016 | ICSE | 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 |
| 2015 | ISSTA | CanaryAdvisor: a statistical-based tool for canary testing (demo). | Alexander Tarvo, Peter F. Sweeney, Nick Mitchell, V. T. Rajan, Matthew Arnold, Ioana Baldini |
| 2015 | MICRO | Self-contained, accurate precomputation prefetching. | Islam Atta, Xin Tong, Vijayalakshmi Srinivasan, Ioana Baldini, Andreas Moshovos |
| 2014 | SBAC-PAD | Predicting GPU Performance from CPU Runs Using Machine Learning. | Ioana Baldini, Stephen J. Fink, Erik R. Altman |