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Found 2 papers, 1 papers with code
Reducing Sentiment Bias in Language Models via Counterfactual Evaluation
This paper aims to quantify and reduce a particular type of bias exhibited by language models: bias in the sentiment of generated text.
Scalable agent alignment via reward modeling: a research direction
One obstacle to applying reinforcement learning algorithms to real-world problems is the lack of suitable reward functions.
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