About Me

I am an incoming Assistant Professor at Rutgers University Computer Science, starting in Fall 2024. I will be hiring PhD students to work on Responsible AI. If you are interested in working with me, please read my page on prospective students.

I am currently a postdoctoral fellow at the Center for Language and Speech Processing (CLSP) at Johns Hopkins University, where I am advised by Mark Dredze and Michelle Kaufman. I obtained my Ph.D. from the University of California Santa Barbara, where I worked with Professor William Wang. My research focuses on natural language processing, with an emphasis on Responsible AI. I work on problems relating to fairness, trustworthiness, and safety. I have spent summers as a research intern at AWS AI, Meta, and Pinterest. I am a 2022 EECS Rising Star, a recipient of the Amazon Alexa AI Fellowship for Responsible AI, and have previously received the Regents and Holbrook Fellowships at my university.

Publications and Preprints

  • Sharon Levy, Neha Anna John, Ling Liu, Yogarshi Vyas, Jie Ma, Yoshinari Fujinuma, Miguel Ballesteros, Vittorio Castelli, Dan Roth. “Comparing Biases and the Impact of Multilingual Training across Multiple Languages”. In Proceedings of Conference on Empirical Methods in Natural Language Processing (EMNLP 2023), Long Paper, ACL.[paper]
  • Alex Mei*, Sharon Levy*, William Yang Wang. “ASSERT: Automated Safety Scenario Red Teaming for Evaluating the Robustness of Large Language Models”. In Findings of the 2023 Conference on Empirical Methods in Natural Language Processing (EMNLP 2023)[paper]
  • Alex Mei*, Sharon Levy*, William Yang Wang. “Foveate, Attribute, and Rationalize: Towards Safe and Trustworthy AI”. Findings of the Association for Computational Linguistics (ACL 2023)[paper]
  • Matthew Ho*, Aditya Sharma*, Justin Chang*, Michael Saxon, Sharon Levy, Yujie Lu and William Yang Wang. “WikiWhy: Answering and Explaining Cause-and-Effect Questions”. In Proceedings of the International Conference on Learning Representations (ICLR 2023), Oral Paper: Top 5% out of all 4019 submissions. [paper]
  • Alon Albalak, Sharon Levy, William Yang Wang. “Addressing Issues of Cross-Linguality in Open-Retrieval Question Answering Systems For Emergent Domains”. In Proceedings of the 2023 Conference of the European Chapter of the Association for Computational Linguistics: System Demonstrations (EACL 2023)[paper]
  • Sharon Levy, Emily Allaway, Melanie Subbiah, Lydia Chilton, Desmond Patton, Kathleen McKeown and William Yang Wang. “SafeText: A Benchmark for Exploring Physical Safety in Language Models”. In Proceedings of Conference on Empirical Methods in Natural Language Processing (EMNLP 2022), Long Paper, ACL. [paper]
  • Alex Mei*, Anisha Kabir*, Sharon Levy, Melanie Subbiah, Emily Allaway, John N. Judge, Desmond Patton, Bruce Bimber, Kathleen McKeown and William Yang Wang. “Mitigating Covertly Unsafe Text within Natural Language Systems”. In Findings of the 2022 Conference on Empirical Methods in Natural Language Processing (EMNLP 2022).[paper]
  • Samhita Honnavalli*, Aesha Parekh*, Lily Ou*, Sophie Groenwold*, Sharon Levy, Vicente Ordonez and William Yang Wang. “Towards Understanding Gender-Seniority Compound Bias in Natural Language Generation”. Proceedings of The 13th Language Resources and Evaluation Conference (LREC 2022). [paper]
  • Kai Nakamura, Sharon Levy, Yi-Lin Tuan, Wenhu Chen, William Yang Wang. “HybriDialogue: An Information-Seeking Dialogue Dataset Grounded on Tabular and Textual Data”. Findings of the Association for Computational Linguistics (ACL 2022). [paper]
  • Sharon Levy, Robert E. Kraut, Jane A. Yu, Kristen M. Altenburger, Yi-Chia Wang. “Understanding Conflicts in Online Conversations”. In Proceedings of the ACM Web Conference 2022 (WWW ’22). [paper]
  • Sharon Levy, Kevin Mo, Wenhan Xiong, William Yang Wang. “Open-Domain Question-Answering for COVID-19 and Other Emergent Domains”. In Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing: System Demonstrations (EMNLP 2021). [paper]
  • Michael Saxon, Sharon Levy, Xinyi Wang, Alon Albalak, William Yang Wang. “Modeling Disclosive Transparency in NLP Application Descriptions”. In Proceedings of Conference on Empirical Methods in Natural Language Processing (EMNLP 2021), Long Paper, ACL. [paper]
  • Sharon Levy, Michael Saxon, William Yang Wang. “Investigating Memorization of Conspiracy Theories in Text Generation”. Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021. [paper] [blog post]
  • Sharon Levy*, Kai Nakamura*, William Yang Wang. “r/Fakeddit: A New Multimodal Benchmark Dataset for Fine-grained Fake News Detection”. Proceedings of The 12th Language Resources and Evaluation Conference (LREC), 2020. [paper]
  • Sharon Levy, Wenhan Xiong, Elizabeth Belding, William Yang Wang. “SafeRoute: Learning to Navigate Streets Safely in an Urban Environment”. In ACM Transactions on Intelligent Systems and Technology (TIST) 2020. [paper]
  • Sophie Groenwold*, Lily Ou*, Aesha Parekh*, Samhita Honnavalli*, Sharon Levy, Diba Mirza and William Yang Wang. “Investigating African-American Vernacular English in Transformer-Based Text Generation” In Proceedings of Conference on Empirical Methods in Natural Language Processing (EMNLP 2020), Short Paper, ACL. [paper]
  • Sharon Levy and William Yang Wang. “Cross-lingual Transfer Learning for COVID-19 Outbreak Alignment”. Presented at ACL NLP COVID-19 Workshop 2020. [paper]
  • Sophie Groenwold*, Samhita Honnavalli*, Lily Ou*, Aesha Parekh*, Sharon Levy, Diba Mirza, William Yang Wang. “Evaluating Transformer-Based Multilingual Text Classification”. 2020. [paper]