Papers with alignment of generated survey

1 papers
QSTN: A Modular Framework for Robust Questionnaire Inference with Large Language Models (2026.eacl-demo)

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Challenge: Questionnaire-like prompts have become an important format to probe, assess, and utilize large language models (LLMs)
Approach: They propose an open-source Python framework for generating responses from questionnaire-style prompts to support in-silico surveys and annotation tasks with large language models (LLMs).
Outcome: The proposed framework can be used to generate responses from questionnaire-style prompts and to perform annotations on large language models.

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