Papers with people process
Evaluating Large Language Models for Belief Inference: Mapping Belief Networks at Scale (2025.findings-emnlp)
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| Challenge: | Beliefs are interconnected, influencing how people process and update what they think. |
| Approach: | They propose to use a finetuned GPT-4o model to infer belief structures from large-scale social media data. |
| Outcome: | The proposed model can recover belief structures from large social media data, allowing for a level of scalability and efficiency that is impossible using traditional survey methods. |