Checked fact 140114 Oct 2026Safety and security

HH-RLHF: the abstract says the paper applies preference modelling and RLHF to fine-tune language models to act as helpful and harmless assistants.

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Abstract:We apply preference modeling and reinforcement learning from human feedback (RLHF) to finetune language models to act as helpful and harmless assistants.

What the source said when we opened it, on 13 Oct 2026.

The source

Training a Helpful and Harmless Assistant with Reinforcement Learning from Human Feedback (arXiv 2204.05862)
arXiv · 2022-04-12

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Checked by the notis newsroom on 13 Oct 2026, against the source above.

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“HH-RLHF: the abstract says the paper applies preference modelling and RLHF to fine-tune language models to act as helpful and harmless assistants.” ai notis, checked 13 Oct 2026. Source: Training a Helpful and Harmless Assistant with Reinforcement Learning from Human Feedback (arXiv 2204.05862) (arXiv). https://ainotis.com/c/1401

As a reference (APA style)

ai notis. (2026, October 13). HH-RLHF: the abstract says the paper applies preference modelling and RLHF to fine-tune language models to act as helpful and harmless assistants [Checked claim 1401]. ai notis. https://ainotis.com/c/1401

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