activity
20102026
most citedSeeing ChatGPT Through Students' Eyes: An Analysis of TikTok Data

14 citations · 39 across the 29 of their papers we have counts for

collaborators
Showing cs.CLShow all

9 papers · 1 filter

cs.CL2026

In-Context Learning for the Imputation of Public Opinion Data with Large Language Models

Tobias Holtdirk, Georg Ahnert, Joseph W Sakshaug +1

Large language models have been widely evaluated as simulators of individual survey responses. In practice, however, fully unobserved responses are rare; the dominant problem is pa…

cs.CL2025

Systematic Evaluation of Uncertainty Estimation Methods in Large Language Models

Christian Hobelsberger, Theresa Winner, Andreas Nawroth +2

Large language models (LLMs) produce outputs with varying levels of uncertainty, and, just as often, varying levels of correctness; making their practical reliability far from guar…

cs.CL2025

Capabilities and Evaluation Biases of Large Language Models in Classical Chinese Poetry Generation: A Case Study on Tang Poetry

Bolei Ma, Yina Yao, Anna-Carolina Haensch

Large Language Models (LLMs) are increasingly applied to creative domains, yet their performance in classical Chinese poetry generation and evaluation remains poorly understood. We…

cs.CL2025

Too Open for Opinion? Embracing Open-Endedness in Large Language Models for Social Simulation

Bolei Ma, Yong Cao, Indira Sen +4

Large Language Models (LLMs) are increasingly used to simulate public opinion and other social phenomena. Most current studies constrain these simulations to multiple-choice or sho…

cs.CL2025

Survey Response Generation: Generating Closed-Ended Survey Responses In-Silico with Large Language Models

Georg Ahnert, Anna-Carolina Haensch, Barbara Plank +1

Many in-silico simulations of human survey responses with large language models (LLMs) focus on generating closed-ended survey responses, whereas LLMs are typically trained to gene…

cs.CL2025★ 1 cited

AIn't Nothing But a Survey? Using Large Language Models for Coding German Open-Ended Survey Responses on Survey Motivation

Leah von der Heyde, Anna-Carolina Haensch, Bernd Weiß +1

The recent development and wider accessibility of LLMs have spurred discussions about how they can be used in survey research, including classifying open-ended survey responses. Du…

cs.CL2025★ 1 cited

"It Listens Better Than My Therapist": Exploring Social Media Discourse on LLMs as Mental Health Tool

Anna-Carolina Haensch

The emergence of generative AI chatbots such as ChatGPT has prompted growing public and academic interest in their role as informal mental health support tools. While early rule-ba…

cs.CL2024

Algorithmic Fidelity of Large Language Models in Generating Synthetic German Public Opinions: A Case Study

Bolei Ma, Berk Yoztyurk, Anna-Carolina Haensch +5

In recent research, large language models (LLMs) have been increasingly used to investigate public opinions. This study investigates the algorithmic fidelity of LLMs, i.e., the abi…

cs.CL2024

The Potential and Challenges of Evaluating Attitudes, Opinions, and Values in Large Language Models

Bolei Ma, Xinpeng Wang, Tiancheng Hu +4

Recent advances in Large Language Models (LLMs) have sparked wide interest in validating and comprehending the human-like cognitive-behavioral traits LLMs may capture and convey. T…