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Ioana Baldini
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2020 – today
- 2024
- [c24]Manish Nagireddy, Lamogha Chiazor, Moninder Singh, Ioana Baldini:
SocialStigmaQA: A Benchmark to Uncover Stigma Amplification in Generative Language Models. AAAI 2024: 21454-21462 - [c23]Abdelrahman Zayed, Gonçalo Mordido, Samira Shabanian, Ioana Baldini, Sarath Chandar:
Fairness-Aware Structured Pruning in Transformers. AAAI 2024: 22484-22492 - [c22]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: 427-452 - [c21]Abdelrahman Zayed, Gonçalo Mordido, Ioana Baldini, Sarath Chandar:
Why Don't Prompt-Based Fairness Metrics Correlate? ACL (1) 2024: 9002-9019 - [c20]Manish Nagireddy, Bernat Guillen Pegueroles, Ioana Baldini:
DARE to Diversify: DAta Driven and Diverse LLM REd Teaming. KDD 2024: 6420-6421 - [i17]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 abs/2403.06009 (2024) - [i16]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 abs/2403.09704 (2024) - [i15]Abdelrahman Zayed, Gonçalo Mordido, Ioana Baldini, Sarath Chandar:
Why Don't Prompt-Based Fairness Metrics Correlate? CoRR abs/2406.05918 (2024) - 2023
- [c19]Karan Bhanot, Ioana Baldini, Dennis Wei, Jiaming Zeng, Kristin P. Bennett:
Stress-Testing Bias Mitigation Algorithms to Understand Fairness Vulnerabilities. AIES 2023: 764-774 - [c18]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: 221-235 - [c17]Karan Bhanot, Dennis Wei, Ioana Baldini, Kristin P. Bennett:
Adversarial Auditing of Machine Learning Models under Compound Shift. ESANN 2023 - [i14]Ioana Baldini, Chhavi Yadav, Payel Das, Kush R. Varshney:
Keeping Up with the Language Models: Robustness-Bias Interplay in NLI Data and Models. CoRR abs/2305.12620 (2023) - [i13]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 abs/2311.09443 (2023) - [i12]Manish Nagireddy, Lamogha Chiazor, Moninder Singh, Ioana Baldini:
SocialStigmaQA: A Benchmark to Uncover Stigma Amplification in Generative Language Models. CoRR abs/2312.07492 (2023) - [i11]Abdelrahman Zayed, Gonçalo Mordido, Samira Shabanian, Ioana Baldini, Sarath Chandar:
Fairness-Aware Structured Pruning in Transformers. CoRR abs/2312.15398 (2023) - 2022
- [c16]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: 2245-2262 - [c15]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: 7-21 - [c14]Karan Bhanot, Ioana Baldini, Dennis Wei, Jiaming Zeng, Kristin P. Bennett:
Evaluating Fairness of Synthetic Healthcare Data Models. AMIA 2022 - [i10]Karan Bhanot, Ioana Baldini, Dennis Wei, Jiaming Zeng, Kristin P. Bennett:
Downstream Fairness Caveats with Synthetic Healthcare Data. CoRR abs/2203.04462 (2022) - [i9]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 abs/2205.03931 (2022) - 2021
- [c13]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: 15988-15990 - [c12]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 - [c11]Diego García-Olano, Yasumasa Onoe, Ioana Baldini, Joydeep Ghosh, Byron C. Wallace, Kush R. Varshney:
Biomedical Interpretable Entity Representations. ACL/IJCNLP (Findings) 2021: 3547-3561 - [i8]Lu Cheng, Dmitriy A. Katz-Rogozhnikov, Kush R. Varshney, Ioana Baldini:
Automated Meta-Analysis: A Causal Learning Perspective. CoRR abs/2104.04633 (2021) - [i7]Diego García-Olano, Yasumasa Onoe, Ioana Baldini, Joydeep Ghosh, Byron C. Wallace, Kush R. Varshney:
Biomedical Interpretable Entity Representations. CoRR abs/2106.09502 (2021) - [i6]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 abs/2108.01250 (2021) - [i5]Kofi Arhin, Ioana Baldini, Dennis Wei, Karthikeyan Natesan Ramamurthy, Moninder Singh:
Ground-Truth, Whose Truth? - Examining the Challenges with Annotating Toxic Text Datasets. CoRR abs/2112.03529 (2021) - 2020
- [c10]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: 13369-13381
2010 – 2019
- 2019
- [j3]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): 59-66 (2019) - [j2]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): 237:1-237:23 (2019) - [i4]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 abs/1909.03486 (2019) - [i3]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 abs/1911.07819 (2019) - 2018
- [c9]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: 347-353 - [c8]Evan Patterson, Ioana Baldini, Aleksandra Mojsilovic, Kush R. Varshney:
Semantic Representation of Data Science Programs. IJCAI 2018: 5847-5849 - [i2]Evan Patterson, Ioana Baldini, Aleksandra Mojsilovic, Kush R. Varshney:
Teaching machines to understand data science code by semantic enrichment of dataflow graphs. CoRR abs/1807.05691 (2018) - 2017
- [j1]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): 9:1-9:13 (2017) - [c7]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 - [c6]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: 89-103 - [p1]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:
Serverless Computing: Current Trends and Open Problems. Research Advances in Cloud Computing 2017: 1-20 - [i1]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 abs/1706.03178 (2017) - 2016
- [c5]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: 287-288 - 2015
- [c4]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: 418-422 - [c3]Islam Atta, Xin Tong, Vijayalakshmi Srinivasan, Ioana Baldini, Andreas Moshovos:
Self-contained, accurate precomputation prefetching. MICRO 2015: 153-165 - 2014
- [c2]Ioana Baldini, Stephen J. Fink, Erik R. Altman:
Predicting GPU Performance from CPU Runs Using Machine Learning. SBAC-PAD 2014: 254-261 - 2013
- [c1]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: 490-493
Coauthor Index
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last updated on 2024-11-18 21:45 CET by the dblp team
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