A Continual Pre-training Approach to Tele-Triaging Pregnant Women in Kenya. - Wenbo Zhang 008; Hangzhi Guo; Prerna Ranganathan; Jay Patel; Sathyanath Rajasekharan; Nidhi Danayak; Manan Gupta; Amulya Yadav (AAAI, 2023)

A Taxonomy of Rater Disagreements: Surveying Challenges & Opportunities from the Perspective of Annotating Online Toxicity. - Wenbo Zhang 008; Hangzhi Guo; Ian D. Kivlichan; Vinodkumar Prabhakaran; Davis Yadav; Amulya Yadav (CoRR, 2023)

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)

Monolingual and Multilingual Misinformation Detection for Low-Resource Languages: A Comprehensive Survey. - Xinyu Wang; Wenbo Zhang 008; Sarah Rajtmajer (CoRR, 2024)

The Reopening of Pandora's Box: Analyzing the Role of LLMs in the Evolving Battle Against AI-Generated Fake News. - Xinyu Wang; Wenbo Zhang 008; Sai Dileep Koneru; Hangzhi Guo; Bonam Mingole; S. Shyam Sundar; Sarah Rajtmajer; Amulya Yadav (CoRR, 2024)

Code-mixed LLM: Improve Large Language Models' Capability to Handle Code-Mixing through Reinforcement Learning from AI Feedback. - Wenbo Zhang 008; Aditya Majumdar; Amulya Yadav (CoRR, 2024)

ReLax: Efficient and Scalable Recourse Explanation Benchmarking using JAX. - Hangzhi Guo; Xinchang Xiong; Wenbo Zhang 008; Amulya Yadav (J. Open Source Softw., 2024)

Have LLMs Reopened the Pandora's Box of AI-Generated Fake News? - Xinyu Wang; Wenbo Zhang 008; Sai Dileep Koneru; Hangzhi Guo; Bonam Mingole; S. Shyam Sundar; Sarah Rajtmajer; Amulya Yadav (NAACL (Long Papers), 2025)

The Hardness of Achieving Impact in AI for Social Impact Research: A Ground-Level View of Challenges & Opportunities. - Aditya Majumdar; Wenbo Zhang 008; Kashvi Prawal; Amulya Yadav (CoRR, 2025)