1 citations · 2 across the 7 of their papers we have counts for
8 papers
"The explanation makes sense": An Empirical Study on LLM Performance in News Classification and its Influence on Judgment in Human-AI Collaborative Annotation
Qile Wang, Prerana Khatiwada, Avinash Chouhan +5
The spread of media bias is a significant concern as political discourse shapes beliefs and opinions. Addressing this challenge computationally requires improved methods for interp…
Wisdom of the LLM Crowd: A Large Scale Benchmark of Multi-Label U.S. Election-Related Harmful Social Media Content
Qile Wang, Prerana Khatiwada, Carolina Coimbra Vieira +3
The spread of election misinformation and harmful political content conveys misleading narratives and poses a serious threat to democratic integrity. Detecting harmful content at e…
Regulating Social Media: Surveying the Impact of Nepali Government's TikTok Ban
Prerana Khatiwada, Alejandro Ciuba, Aditya Nayak +2
Social media platforms have transformed global communication and interaction, with TikTok emerging as a critical tool for education, connection, and social impact, including in con…
Culling Misinformation from Gen AI: Toward Ethical Curation and Refinement
Prerana Khatiwada, Grace Donaher, Jasymyn Navarro +1
While Artificial Intelligence (AI) is not a new field, recent developments, especially with the release of generative tools like ChatGPT, have brought it to the forefront of the mi…
The Ethical Implications of AI in Creative Industries: A Focus on AI-Generated Art
Prerana Khatiwada, Joshua Washington, Tyler Walsh +2
As Artificial Intelligence (AI) continues to grow daily, more exciting (and somewhat controversial) technology emerges every other day. As we see the advancements in AI, we see mor…
PRAISE: Enhancing Product Descriptions with LLM-Driven Structured Insights
Adnan Qidwai, Srija Mukhopadhyay, Prerana Khatiwada +2
Accurate and complete product descriptions are crucial for e-commerce, yet seller-provided information often falls short. Customer reviews offer valuable details but are laborious…
MAPWise: Evaluating Vision-Language Models for Advanced Map Queries
Srija Mukhopadhyay, Abhishek Rajgaria, Prerana Khatiwada +2
Vision-language models (VLMs) excel at tasks requiring joint understanding of visual and linguistic information. A particularly promising yet under-explored application for these m…
Evaluating Serverless Machine Learning Performance on Google Cloud Run
Prerana Khatiwada, Pranjal Dhakal
End-users can get functions-as-a-service from serverless platforms, which promise lower hosting costs, high availability, fault tolerance, and dynamic flexibility for hosting indiv…