Gupta, V., Venkit, P., Wilson, S., Passonneau, B. (2024). CALM: Sociodemographic Bias in Language Models: A Survey and Forward Path
Gender Bias in NLP workshop at the Association for Computational Linguistics (GeBNLP at ACL) 2024
Ghosh, S*., Venkit, P*., Gautam, S*., Wilson., S., Caliskan., A. (2024). Do Generative AI Models Output Harm while Representing Non-Western Cultures: Evidence from A Community-Centered Approach
7th AAAI/ACM Conference on Artificial Intelligence, Ethics and Society (AIES) 2024
Venkit, P., Graziul, C., Goodman, M., Kenny, S., Wilson, S. (2024). Race and Privacy in Broadcast Police Communications
π βDiversity, Equity, and Inclusion (DEI) Award π
Gupta, V., Venkit, P., Laurencon, H., Wilson, S., Passonneau, B. (2024). CALM: A Multi-task Benchmark for Comprehensive Assessment of Language Model Bias
Proceedings in the Conference on Language Modeling (COLM) 2024
Du, J., Wang, Y., Zhao, W., Deng, Z., Liu, S, Lou, R., Zhou, HP., Venkit, P., et al. Β (2024). LLMs assist NLP Researchers: Critique Paper (Meta-) Reviewing
2024 Conference on Empirical Methods in Natural Language Processing (EMNLP) 2024
Venkit, P., Chakravorti, Gupta, V., Biggs, H., T., Srinath, M., Goswami, K., Rajtmajer, S., Wilson, S. (2024). An Audit on the Perspectives and Challenges of Hallucinations in NLP
2024 Conference on Empirical Methods in Natural Language Processing (EMNLP) 2024
Gautam, S.*, Venkit, P.*, Ghosh, S*. (2024). From Melting Pots to Misrepresentations: Exploring Harms in Generative AI
Proceedings in CHI Conference on Human Factors in Computing Systems (GenAICHI In CHI) 2024
Srinath, M., Venkit, P., Badillo, M., Schaub, F., Giles, L., Wilson, S. (2024). Automated Detection and Analysis of Data Practices Using A Real-World Corpus
The 62nd Annual Meeting of the Association for Computational Linguistics (ACL) 2024
Venkit, P., Srinath, M., Gautam, S., Venkataraman. S., Gupta, V., Passonneau, B., Wilson, S. (2023). The Sentiment Problem: A Critical Survey towards Deconstructing Sentiment Analysis
π βOutstanding Paper Award π
2023 Conference on Empirical Methods in Natural Language Processing (EMNLP) 2023
βVenkit, P., Gautam, S., Panchanadikar, R., Huang, K., Wilson, S. (2023). Unmasking Nationality Bias: A Study of Human Perception of Nationalities in AI-Generated Articles
6th AAAI/ACM Conference on Artificial Intelligence, Ethics and Society (AIES) 2023
Venkit, P., Srinath, M., Wilson, S. (2023). Automated Ableism: An Exploration of Explicit Disability Biases in Sentiment and Toxicity Analysis Models
βπ Best Paper Award π
Srinath, M., Sundareswara, S., Venkit, P., Giles, C., Wilson, S. (2023). Privacy Lost and Found: An Investigation at Scale of Web Privacy Policy AvailabilityΒ
βπ Best Paper Award π
ACM Conference on Document Engineering (DocEng) 2023
Srinath, M., Matheson, L., Venkit, P., Zanfir-Fortuna, G., Schaub, F., Giles, L., Wilson, S. (2023). Privacy Now or Never: Large-Scale Extraction and Analysis of Dates in Privacy Policy Text
ACM Conference on Document Engineering (DocEng) 2023
Venkit, P. (2023). Towards a Holistic Approach: Understanding Sociodemographic Biases in NLP Models using an Interdisciplinary Lens
6th AAAI/ACM Conference on Artificial Intelligence, Ethics and Society (AIES) 2023
Venkit, P., Gautam, S., Panchanadikar, R., Huang, K., Wilson, S. (2023). Nationality Bias in Text Generation
17th Conference of the European Chapter of ACL (EACL) 2023
Venkit, P., Wilson, S. (2022). A Study of Implicit Language Model Bias Against People with Disabilities
International Conference on Computational Linguistics (COLING) 2022
Venkit, P., Dudas, P. (2021). A Jupyter Book Approach to Latent Dirichlet Allocation and Bias Understanding
Workshop on Visualization for AI Explainability (VISxAI) 2021
βVenkit, P., Karishma, Z., Hsu, C., Katiki, R., Huang,K., Wilson, S., Dudas, P. (2021). A Sourceful Twist: Emoji Prediction Based on Sentiment, Hashtags and Application Source