Papers by Zhong Wenzhong
Large Language Models as Reader for Bias Detection (2025.findings-emnlp)
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| Challenge: | Traditional methods analyze text from the writer’s perspective, leaving the reader’s viewpoint underexplored. |
| Approach: | They investigate whether large language models can be leveraged as readers for bias detection by generating reader-perspective comments. |
| Outcome: | The proposed model performs comparable to GPT4's in detecting bias in media content. |