Personalisation within bounds: A risk taxonomy and policy framework for the alignment of large language models with personalised feedback

HR Kirk, B Vidgen, P Röttger, SA Hale - arXiv preprint arXiv:2303.05453, 2023 - arxiv.org
Large language models (LLMs) are used to generate content for a wide range of tasks, and
are set to reach a growing audience in coming years due to integration in product interfaces …

[PDF][PDF] Ai safety: where do we stand presently

A Hari, MS Abdulla - 2023 - iimk.ac.in
As artificial intelligence, particularly large language models (LLMs), gains prominence in
technological ecosystems, understanding and aligning these systems with human values is …

A Meta Learning-Based Training Algorithm for Robust Dialogue Generation

Z Hu, Y Song - International Conference on Neural Information …, 2023 - Springer
There are many low-resource scenarios in the field of dialogue generation, such as medical
diagnosis. Many dialogue generation models in these scenarios are usually unstable due to …