This paper introduces an innovative task focused on editing the personality traits of Large Language Models (LLMs). This task seeks to adjust the models' responses to opinion …
Advancements in LLMs have recently unveiled challenges tied to computational efficiency and continual scalability due to their requirements of huge parameters, making the …
H Chen - arxiv preprint arxiv:2312.02706, 2023 - arxiv.org
Humankind's understanding of the world is fundamentally linked to our perception and cognition, with\emph {human languages} serving as one of the major carriers of\emph {world …
The extensive utilization of large language models (LLMs) underscores the crucial necessity for precise and contemporary knowledge embedded within their intrinsic parameters …
S Mao, X Wang, M Wang, Y Jiang, P **e… - … Conference on Natural …, 2024 - Springer
This paper introduces an innovative task focused on editing the personality traits of Large Language Models (LLMs). This task seeks to adjust the models' responses to opinion …
Efficient and accurate updating of knowledge stored in Large Language Models (LLMs) is one of the most pressing research challenges today. This paper presents Larimar-a novel …
Model editing is an emerging field that focuses on updating the knowledge embedded within large language models (LLMs) without extensive retraining. However, current model editing …
Q Ma, RJ Zhu, P Liu, R Yan, F Zhang, L Liang… - arxiv preprint arxiv …, 2024 - arxiv.org
Large Language Models (LLMs) utilize extensive knowledge databases and show powerful text generation ability. However, their reliance on high-quality copyrighted datasets raises …