Xi Zhiheng


Fixing paper assignments

  1. Please select all papers that belong to the same person.
  2. Indicate below which author they should be assigned to.
Provide a valid ORCID iD here. This will be used to match future papers to this author.
Provide the name of the school or the university where the author has received or will receive their highest degree (e.g., Ph.D. institution for researchers, or current affiliation for students). This will be used to form the new author page ID, if needed.

TODO: "submit" and "cancel" buttons here


2023

pdf bib
Safety and Ethical Concerns of Large Language Models
Xi Zhiheng | Zheng Rui | Gui Tao
Proceedings of the 22nd Chinese National Conference on Computational Linguistics (Volume 4: Tutorial Abstracts)

“Recent months have witnessed significant progress in the field of large language models (LLMs).Represented by ChatGPT and GPT-4, LLMs perform well in various natural language process-ing tasks and have been applied to many downstream applications to facilitate people’s lives. However, there still exist safety and ethical concerns. Specifically, LLMs suffer from social bias,robustness problems, and poisoning issues, all of which may induce LLMs to spew harmful con-tents. We propose this tutorial as a gentle introduction to the safety and ethical issues of LLMs.”