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Pranav Narayanan Venkit
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Nationality Bias in Text Generation
PN Venkit, S Gautam, R Panchanadikar, TH Huang, S Wilson
EACL 2023 (Proceedings of the 17th Conference of the European Chapter of the …, 2023
54*2023
A Study of Implicit Bias in Pretrained Language Models against People with Disabilities
PN Venkit, M Srinath, S Wilson
COLING 2022 (Proceedings of the 29th International Conference on …, 2022
362022
Identification of Bias Against People with Disabilities in Sentiment Analysis and Toxicity Detection Models
PN Venkit, S Wilson
TrustNLP at ACL 2023 (The 61st Annual Meeting of the Association for …, 2021
232021
Unmasking Nationality Bias: A Study of Human Perception of Nationalities in AI-Generated Articles
PN Venkit*, S Gautam*, R Panchanadikar*, THK Huang, S Wilson
AIES 2023 (Proceedings of the Sixth AAAI/ACM Conference on AI, Ethics, and …, 2023
7*2023
Sociodemographic Bias in Language Models: A Survey and Forward Path
V Gupta, PN Venkit, S Wilson, RJ Passonneau
Preprint (arXiv preprint arXiv:2306.08158), 2023
7*2023
The Sentiment Problem: A Critical Survey towards Deconstructing Sentiment Analysis
PN Venkit, M Srinath, S Gautam, S Venkatraman, V Gupta, ...
🏆 Outstanding Paper Award 🏆 EMNLP 2023 (Proceedings of the 2023 Conference …, 2023
42023
Automated Ableism: An Exploration of Explicit Disability Biases in Sentiment and Toxicity Analysis Models
PN Venkit, M Srinath, S Wilson
🏆 Best Paper Award 🏆TrustNLP at ACL 2023 (The 61st Annual Meeting of the …, 2023
42023
A Sourceful Twist: Emoji Prediction Based on Sentiment, Hashtags and Application Source
P Venkit, Z Karishma, CY Hsu, R Katiki, K Huang, S Wilson, P Dudas
Preprint (arXiv preprint arXiv:2103.07833), 2021
42021
Towards a Holistic Approach: Understanding Sociodemographic Biases in NLP Models using an Interdisciplinary Lens
PN Venkit
AIES 2023 (Proceedings of the Sixth AAAI/ACM Conference on AI, Ethics, and …, 2023
3*2023
Privacy Now or Never: Large-Scale Extraction and Analysis of Dates in Privacy Policy Text
M Srinath, L Matheson, PN Venkit, G Zanfir-Fortuna, F Schaub, CL Giles, ...
DocEng 2023 (Proceedings of the ACM Document Engineering Symposium 2023), 1-4, 2023
22023
From Melting Pots to Misrepresentations: Exploring Harms in Generative AI
S Gautam*, PN Venkit*, S Ghosh*
GenAICHI In CHI 2024 (Proceedings of GenAICHI '24 in CHI Conference on Human …, 2024
12024
CALM: A Multi-task Benchmark for Comprehensive Assessment of Language Model Bias
V Gupta, PN Venkit, H Laurençon, S Wilson, RJ Passonneau
Preprint (arXiv preprint arXiv:2308.12539), 2023
12023
"Confidently Nonsensical?": A Critical Survey on the Perspectives and Challenges of 'Hallucinations' in NLP
PN Venkit, T Chakravorti, V Gupta, H Biggs, M Srinath, K Goswami, ...
Preprint (arXiv preprint arXiv:2404.07461), 2024
2024
Automated Detection and Analysis of Data Practices Using A Real-World Corpus
M Srinath, P Venkit, M Badillo, F Schaub, CL Giles, S Wilson
arXiv preprint arXiv:2402.11006, 2024
2024
Privacy Lost and Found: An Investigation at Scale of Web Privacy Policy Availability
M Srinath, S Sundareswara, P Venkit, CL Giles, S Wilson
🏆 Best Student Paper Award 🏆 DocEng 2023 (Proceedings of the ACM Document …, 2023
2023
A Jupyter Book Approach to Latent Dirichlet Allocation and Bias Understanding
P Venkit, P Dudas
VISxAI 2021 (4th Workshop on Visualization for AI Explainability), 2021
2021
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