8 citations · 9 across the 2 of their papers we have counts for
2 papers
cs.HC2025★ 8 cited
Prompting in the Dark: Assessing Human Performance in Prompt Engineering for Data Labeling When Gold Labels Are Absent
Zeyu He, Saniya Naphade, Ting-Hao 'Kenneth' Huang
Millions of users prompt large language models (LLMs) for various tasks, but how good are people at prompt engineering? Do users actually get closer to their desired outcome over m…
cs.CL2023★ 1 cited
Conveying the Predicted Future to Users: A Case Study of Story Plot Prediction
Chieh-Yang Huang, Saniya Naphade, Kavya Laalasa Karanam +1
Creative writing is hard: Novelists struggle with writer's block daily. While automatic story generation has advanced recently, it is treated as a "toy task" for advancing artifici…