Ioana Baldini

Orcid: 0000-0002-8257-9866

According to our database1, Ioana Baldini authored at least 40 papers between 2013 and 2024.

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Bibliography

2024
Alignment Studio: Aligning Large Language Models to Particular Contextual Regulations.
CoRR, 2024

Detectors for Safe and Reliable LLMs: Implementations, Uses, and Limitations.
CoRR, 2024

DARE to Diversify: DAta Driven and Diverse LLM REd Teaming.
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

Why Don't Prompt-Based Fairness Metrics Correlate?
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

Biasly: An Expert-Annotated Dataset for Subtle Misogyny Detection and Mitigation.
Proceedings of the Findings of the Association for Computational Linguistics, 2024

Fairness-Aware Structured Pruning in Transformers.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

SocialStigmaQA: A Benchmark to Uncover Stigma Amplification in Generative Language Models.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Subtle Misogyny Detection and Mitigation: An Expert-Annotated Dataset.
CoRR, 2023

Keeping Up with the Language Models: Robustness-Bias Interplay in NLI Data and Models.
CoRR, 2023

Adversarial Auditing of Machine Learning Models under Compound Shift.
Proceedings of the 31st European Symposium on Artificial Neural Networks, 2023

Explainable Cross-Topic Stance Detection for Search Results.
Proceedings of the 2023 Conference on Human Information Interaction and Retrieval, 2023

Stress-Testing Bias Mitigation Algorithms to Understand Fairness Vulnerabilities.
Proceedings of the 2023 AAAI/ACM Conference on AI, Ethics, and Society, 2023

2022
Downstream Fairness Caveats with Synthetic Healthcare Data.
CoRR, 2022

Evaluating Fairness of Synthetic Healthcare Data Models.
Proceedings of the AMIA 2022, 2022

Write It Like You See It: Detectable Differences in Clinical Notes by Race Lead to Differential Model Recommendations.
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.
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.
CoRR, 2021

Your fairness may vary: Group fairness of pretrained language models in toxic text classification.
CoRR, 2021

Automated Meta-Analysis: A Causal Learning Perspective.
CoRR, 2021

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


2020
A Natural Language Processing System for Extracting Evidence of Drug Repurposing from Scientific Publications.
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?
Proc. ACM Hum. Comput. Interact., 2019

Drug Repurposing for Cancer: An NLP Approach to Identify Low-Cost Therapies.
CoRR, 2019

How Data Scientists Work Together With Domain Experts in Scientific Collaborations: To Find The Right Answer Or To Ask The Right Question?
CoRR, 2019

Reports of the AAAI 2019 Spring Symposium Series.
AI Mag., 2019

2018
Teaching machines to understand data science code by semantic enrichment of dataflow graphs.
CoRR, 2018

Semantic Representation of Data Science Programs.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Data Driven Techniques for Organizing Scientific Articles Relevant to Biomimicry.
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.
IBM J. Res. Dev., 2017

Serverless Computing: Current Trends and Open Problems.
CoRR, 2017

The serverless trilemma: function composition for serverless computing.
Proceedings of the 2017 ACM SIGPLAN International Symposium on New Ideas, 2017

Machine Representation of Data Analyses: Towards a Platform for Collaborative Data Science.
Proceedings of the 2017 AAAI Spring Symposia, 2017

Serverless Computing: Current Trends and Open Problems.
Proceedings of the Research Advances in Cloud Computing, 2017

2016
Cloud-native, event-based programming for mobile applications.
Proceedings of the International Conference on Mobile Software Engineering and Systems, 2016

2015
Self-contained, accurate precomputation prefetching.
Proceedings of the 48th International Symposium on Microarchitecture, 2015

CanaryAdvisor: a statistical-based tool for canary testing (demo).
Proceedings of the 2015 International Symposium on Software Testing and Analysis, 2015

2014
Predicting GPU Performance from CPU Runs Using Machine Learning.
Proceedings of the 26th IEEE International Symposium on Computer Architecture and High Performance Computing, 2014

2013
The Liquid Metal Blokus Duo Design.
Proceedings of the 2013 International Conference on Field-Programmable Technology, 2013


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