Papers

• Sharon Levy, Tahilin Sanchez Karver, William D. Adler, Michelle R. Kaufman, Mark Dredze. “Evaluating Biases in Context-Dependent Sexual and Reproductive Health Questions”. In Proceedings of Conference on Empirical Methods in Natural Language Processing (EMNLP 2024) [paper]
• Sharon Levy, William D. Adler, Tahilin Sanchez Karver, Mark Dredze, Michelle R. Kaufman. “Gender Bias in Decision-Making with Large Language Models: A Study of Relationship Conflicts”. In Proceedings of Conference on Empirical Methods in Natural Language Processing (EMNLP 2024) [paper]
• Michael Saxon*, Yiran Luo*, Sharon Levy, Chitta Baral, Yezhou Yang, William Yang Wang. “Lost in Translation? Translation Errors and Challenges for Fair Assessment of Text-to-Image Models on Multilingual Concepts”. In Proceedings of Conference of the North American Chapter of the Association for Computational Linguistics (NAACL 2024) [paper]
• 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) [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”. In Findings of the 2023 Conference on Empirical Methods in Natural Language Processing (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]