# Mitigating Political Bias in Language Models through Reinforced Calibration

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/mitigating-political-bias-in-language-models-through-reinforced-calibration/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Ruibo Liu,Chenyan Jia,Jason Wei,Guangxuan Xu,Lili Wang,Soroush Vosoughi |
| Citations | 62 |
| DOI | 10.1609/aaai.v35i17.17744 |
| Fields | Computer Science |
| Open Access | true |
| OA Status | diamond |
| OA URL | https://ojs.aaai.org/index.php/AAAI/article/download/17744/17551 |
| OpenAlex ID | https://openalex.org/W3158733382 |
| Type | conference-paper |
| Year | 2021 |

## Paper authors

- [Chenyan Jia](https://scholariq.org/researchers/chenyan-jia/)

## Paper primary topic

- [Topic Modeling](https://scholariq.org/topics/topic-modeling/)

## Paper topics

- [Topic Modeling](https://scholariq.org/topics/topic-modeling/)
- [Natural Language Processing Techniques](https://scholariq.org/topics/natural-language-processing-techniques/)
- [Text Readability and Simplification](https://scholariq.org/topics/text-readability-and-simplification/)

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Source: ScholarIQ — public research metadata, principally OpenAlex. See https://scholariq.org/sources/ for provenance and https://scholariq.org/methodology/ for what these figures mean.