POLITICS: Pretraining with same-story article comparison for ideology prediction and stance...

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Towards trustworthy LLMs: a review on debiasing and dehallucinating in large language models

Z Lin, S Guan, W Zhang, H Zhang, Y Li… - Artificial Intelligence …, 2024 - Springer
Recently, large language models (LLMs) have attracted considerable attention due to their
remarkable capabilities. However, LLMs' generation of biased or hallucinatory content …
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A systematic review of machine learning techniques for stance detection and its applications

N Alturayeif, H Luqman, M Ahmed - Neural Computing and Applications, 2023 - Springer
Stance detection is an evolving opinion mining research area motivated by the vast increase
in the variety and volume of user-generated content. In this regard, considerable research …
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From pretraining data to language models to downstream tasks: Tracking the trails of political biases leading to unfair NLP models

S Feng, CY Park, Y Liu, Y Tsvetkov - ar** individual attitudes and opinions. In contrast to prior work that primarily …
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