1 citations · 2 across the 4 of their papers we have counts for
5 papers
The AI's Poker Face: Contrasting Persuasion and Sycophancy in Voice-Based Multi-Turn Conversations
Ilia Frantzi, Bernie Hogan, Max M. Lang +1
As interactions with large language models (LLMs) become increasingly routine, concerns about their capacity to influence users' beliefs grow. Yet how such influence unfolds in sus…
AI Conversational Interviewing: Scaling Up Semi-Structured and In-depth Interviews
Alexander Wuttke, Max Melchior Lang, Christopher Klamm +2
Public opinion research has long faced a trade-off between depth and scale: standardized surveys enable large-scale measurement but restrict respondents to researcher-defined categ…
Telephone Surveys Meet Conversational AI: Evaluating a LLM-Based Telephone Survey System at Scale
Max M. Lang, Sol Eskenazi
Telephone surveys remain a valuable tool for gathering insights but typically require substantial resources in training and coordinating human interviewers. This work presents an A…
AI Conversational Interviewing: Transforming Surveys with LLMs as Adaptive Interviewers
Alexander Wuttke, Matthias Aßenmacher, Christopher Klamm +3
Traditional methods for eliciting people's opinions face a trade-off between depth and scale: structured surveys enable large-scale data collection but limit respondents' ability t…
Less Power for More Learning: Restricting OCaml Features for Effective Teaching
Max Lang, Nico Petzendorfer
We present a framework for sandboxing and restricting features of the OCaml programming language to effectively automate the grading of programming exercises, scaling to hundreds o…