Privacy at Scale: Introducing the PrivaSeer Corpus of Web Privacy Policies. - Mukund Srinath; Shomir Wilson; C. Lee Giles (ACL/IJCNLP (1), 2021)

A large-scale exploration of terms of service documents on the web. - Soundarya Nurani Sundareswara; Mukund Srinath; Shomir Wilson; C. Lee Giles (DocEng, 2021)

PrivaSeer: A Privacy Policy Search Engine. - Mukund Srinath; Soundarya Nurani Sundareswara; C. Lee Giles; Shomir Wilson (ICWE, 2021)

A Study of Implicit Bias in Pretrained Language Models against People with Disabilities. - Pranav Narayanan Venkit; Mukund Srinath; Shomir Wilson (COLING, 2022)

Privacy Now or Never: Large-Scale Extraction and Analysis of Dates in Privacy Policy Text. - Mukund Srinath; Lee Matheson; Pranav Narayanan Venkit; Gabriela Zanfir-Fortuna; Florian Schaub; C. Lee Giles; Shomir Wilson (DocEng, 2023)

Privacy Lost and Found: An Investigation at Scale of Web Privacy Policy Availability. - Mukund Srinath; Soundarya Nurani Sundareswara; Pranav Venkit; C. Lee Giles; Shomir Wilson (DocEng, 2023)

The Sentiment Problem: A Critical Survey towards Deconstructing Sentiment Analysis. - Pranav Venkit; Mukund Srinath; Sanjana Gautam; Saranya Venkatraman; Vipul Gupta; Rebecca J. Passonneau; Shomir Wilson (EMNLP, 2023)

Automated Ableism: An Exploration of Explicit Disability Biases in Sentiment and Toxicity Analysis Models. - Pranav Narayanan Venkit; Mukund Srinath; Shomir Wilson (CoRR, 2023)

Leveraging Twitter Data for Sentiment Analysis of Transit User Feedback: An NLP Framework. - Adway Das; Abhishek Kumar Prajapati; Pengxiang Zhang; Mukund Srinath; Andisheh Ranjbari (CoRR, 2023)

Researchers' Experiences in Analyzing Privacy Policies: Challenges and Opportunities. - Abraham H. Mhaidli; Selin Fidan; An Doan; Gina Herakovic; Mukund Srinath; Lee Matheson; Shomir Wilson; Florian Schaub (Proc. Priv. Enhancing Technol., 2023)

Automated Detection and Analysis of Data Practices Using A Real-World Corpus. - Mukund Srinath; Pranav Narayanan Venkit; Maria Badillo; Florian Schaub; C. Lee Giles; Shomir Wilson (ACL (Findings), 2024)

LLMs Assist NLP Researchers: Critique Paper (Meta-)Reviewing. - Jiangshu Du; Yibo Wang 001; Wenting Zhao 006; Zhongfen Deng; Shuaiqi Liu 002; Renze Lou; Henry Peng Zou; Pranav Narayanan Venkit; Nan Zhang; Mukund Srinath; Haoran Zhang 004; Vipul Gupta; et al. (EMNLP, 2024)

An Audit on the Perspectives and Challenges of Hallucinations in NLP. - Pranav Narayanan Venkit; Tatiana Chakravorti; Vipul Gupta; Heidi Biggs; Mukund Srinath; Koustava Goswami; Sarah Rajtmajer; Shomir Wilson (EMNLP, 2024)

"Confidently Nonsensical?": A Critical Survey on the Perspectives and Challenges of 'Hallucinations' in NLP. - Pranav Narayanan Venkit; Tatiana Chakravorti; Vipul Gupta; Heidi Biggs; Mukund Srinath; Koustava Goswami; Sarah Rajtmajer; Shomir Wilson (CoRR, 2024)

Blind Spots and Biases: Exploring the Role of Annotator Cognitive Biases in NLP. - Sanjana Gautam; Mukund Srinath (CoRR, 2024)

LLMs Assist NLP Researchers: Critique Paper (Meta-)Reviewing. - Jiangshu Du; Yibo Wang 001; Wenting Zhao 006; Zhongfen Deng; Shuaiqi Liu 002; Renze Lou; Henry Peng Zou; Pranav Narayanan Venkit; Nan Zhang; Mukund Srinath; Haoran Ranran Zhang; Vipul Gupta; et al. (CoRR, 2024)

Hey GPT, Can You be More Racist? Analysis from Crowdsourced Attempts to Elicit Biased Content from Generative AI. - Hangzhi Guo; Pranav Narayanan Venkit; Eunchae Jang; Mukund Srinath; Wenbo Zhang 008; Bonam Mingole; Vipul Gupta; Kush R. Varshney; S. Shyam Sundar; Amulya Yadav (CoRR, 2024)

PseudoSeer: a Search Engine for Pseudocode. - Levent Toksoz; Mukund Srinath; Gang Tan; C. Lee Giles (CoRR, 2024)