3 papers
cs.HC2025
Catch Me if You Search: When Contextual Web Search Results Affect the Detection of Hallucinations
Mahjabin Nahar, Eun-Ju Lee, Jin Won Park +1
While we increasingly rely on large language models (LLMs) for various tasks, these models are known to produce inaccurate content or 'hallucinations' with potentially disastrous c…
cs.CL2025
Beyond checkmate: exploring the creative chokepoints in AI text
Nafis Irtiza Tripto, Saranya Venkatraman, Mahjabin Nahar +1
The rapid advancement of Large Language Models (LLMs) has revolutionized text generation but also raised concerns about potential misuse, making detecting LLM-generated text (AI te…
cs.CY2024
Generative AI Policies under the Microscope: How CS Conferences Are Navigating the New Frontier in Scholarly Writing
Mahjabin Nahar, Sian Lee, Rebekah Guillen +1
As the use of Generative AI (Gen-AI) in scholarly writing and peer reviews continues to rise, it is essential for the computing field to establish and adopt clear Gen-AI policies.…