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Mbias: Mitigating bias in large language models while retaining context
S Raza, A Raval, V Chatrath - ar** Safe and Responsible Large Language Model: Can We Balance Bias Reduction and Language Understanding in Large Language Models?
Large Language Models (LLMs) have advanced various Natural Language Processing
(NLP) tasks, such as text generation and translation, among others. However, these models …
(NLP) tasks, such as text generation and translation, among others. However, these models …
Make Satire Boring Again: Reducing Stylistic Bias of Satirical Corpus by Utilizing Generative LLMs
Satire detection is essential for accurately extracting opinions from textual data and
combating misinformation online. However, the lack of diverse corpora for satire leads to the …
combating misinformation online. However, the lack of diverse corpora for satire leads to the …
Designing and debiasing binary classifiers for irony and satire detection
AU Öztürk - 2024 - open.metu.edu.tr
In the age of social media, detecting ironic and satirical text automatically is a challenging
task that is important for fighting misinformation online. Even though there are compelling …
task that is important for fighting misinformation online. Even though there are compelling …