2 citations · 4 across the 3 of their papers we have counts for
3 papers
cs.CL2024★ 2 cited
LLM Roleplay: Simulating Human-Chatbot Interaction
Hovhannes Tamoyan, Hendrik Schuff, Iryna Gurevych
The development of chatbots requires collecting a large number of human-chatbot dialogues to reflect the breadth of users' sociodemographic backgrounds and conversational goals. Ho…
cs.CL2023★ 1 cited
How are Prompts Different in Terms of Sensitivity?
Sheng Lu, Hendrik Schuff, Iryna Gurevych
In-context learning (ICL) has become one of the most popular learning paradigms. While there is a growing body of literature focusing on prompt engineering, there is a lack of syst…
cs.CL2023★ 1 cited
Sensitivity, Performance, Robustness: Deconstructing the Effect of Sociodemographic Prompting
Tilman Beck, Hendrik Schuff, Anne Lauscher +1
Annotators' sociodemographic backgrounds (i.e., the individual compositions of their gender, age, educational background, etc.) have a strong impact on their decisions when working…