Pranav Venkit
Orcid: 0000-0002-5671-0461
According to our database1,
Pranav Venkit
authored at least 23 papers
between 2021 and 2024.
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Bibliography
2024
Proc. ACM Hum. Comput. Interact., 2024
Search Engines in an AI Era: The False Promise of Factual and Verifiable Source-Cited Responses.
CoRR, 2024
Hey GPT, Can You be More Racist? Analysis from Crowdsourced Attempts to Elicit Biased Content from Generative AI.
CoRR, 2024
Do Generative AI Models Output Harm while Representing Non-Western Cultures: Evidence from A Community-Centered Approach.
CoRR, 2024
CoRR, 2024
"Confidently Nonsensical?": A Critical Survey on the Perspectives and Challenges of 'Hallucinations' in NLP.
CoRR, 2024
CoRR, 2024
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024
Proceedings of the Findings of the Association for Computational Linguistics, 2024
2023
CoRR, 2023
Automated Ableism: An Exploration of Explicit Disability Biases in Sentiment and Toxicity Analysis Models.
CoRR, 2023
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023
Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics, 2023
Privacy Lost and Found: An Investigation at Scale of Web Privacy Policy Availability.
Proceedings of the ACM Symposium on Document Engineering 2023, 2023
Privacy Now or Never: Large-Scale Extraction and Analysis of Dates in Privacy Policy Text.
Proceedings of the ACM Symposium on Document Engineering 2023, 2023
Unmasking Nationality Bias: A Study of Human Perception of Nationalities in AI-Generated Articles.
Proceedings of the 2023 AAAI/ACM Conference on AI, Ethics, and Society, 2023
Towards a Holistic Approach: Understanding Sociodemographic Biases in NLP Models using an Interdisciplinary Lens.
Proceedings of the 2023 AAAI/ACM Conference on AI, Ethics, and Society, 2023
2022
A Study of Implicit Bias in Pretrained Language Models against People with Disabilities.
Proceedings of the 29th International Conference on Computational Linguistics, 2022
2021
Identification of Bias Against People with Disabilities in Sentiment Analysis and Toxicity Detection Models.
CoRR, 2021
A 'Sourceful' Twist: Emoji Prediction Based on Sentiment, Hashtags and Application Source.
CoRR, 2021