Pranav Venkit

Orcid: 0000-0002-5671-0461

According to our database1, Pranav Venkit authored at least 23 papers between 2021 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Race and Privacy in Broadcast Police Communications.
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

LLMs Assist NLP Researchers: Critique Paper (Meta-)Reviewing.
CoRR, 2024

The Unappreciated Role of Intent in Algorithmic Moderation of Social Media Content.
CoRR, 2024

"Confidently Nonsensical?": A Critical Survey on the Perspectives and Challenges of 'Hallucinations' in NLP.
CoRR, 2024

From Melting Pots to Misrepresentations: Exploring Harms in Generative AI.
CoRR, 2024

An Audit on the Perspectives and Challenges of Hallucinations in NLP.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024


Automated Detection and Analysis of Data Practices Using A Real-World Corpus.
Proceedings of the Findings of the Association for Computational Linguistics, 2024

2023
CALM : A Multi-task Benchmark for Comprehensive Assessment of Language Model Bias.
CoRR, 2023

Automated Ableism: An Exploration of Explicit Disability Biases in Sentiment and Toxicity Analysis Models.
CoRR, 2023

Survey on Sociodemographic Bias in Natural Language Processing.
CoRR, 2023

The Sentiment Problem: A Critical Survey towards Deconstructing Sentiment Analysis.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Nationality Bias in Text Generation.
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


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