Zhang, Z;
Fang, M;
Chen, L;
Namazi-Rad, MR;
Wang, J;
(2023)
How Do Large Language Models Capture the Ever-changing World Knowledge? A Review of Recent Advances.
In:
EMNLP 2023 - 2023 Conference on Empirical Methods in Natural Language Processing, Proceedings.
(pp. pp. 8289-8311).
Association for Computational Linguistics (ACL): Singapore, Singapore.
Preview |
Text
2023.emnlp-main.516.pdf - Published Version Download (662kB) | Preview |
Abstract
Although large language models (LLMs) are impressive in solving various tasks, they can quickly be outdated after deployment. Maintaining their up-to-date status is a pressing concern in the current era. This paper provides a comprehensive review of recent advances in aligning LLMs with the ever-changing world knowledge without re-training from scratch. We categorize research works systemically and provide in-depth comparisons and discussion. We also discuss existing challenges and highlight future directions to facilitate research in this field.
| Type: | Proceedings paper |
|---|---|
| Title: | How Do Large Language Models Capture the Ever-changing World Knowledge? A Review of Recent Advances |
| Event: | 2023 Conference on Empirical Methods in Natural Language Processing |
| ISBN-13: | 9798891760608 |
| Open access status: | An open access version is available from UCL Discovery |
| DOI: | 10.18653/v1/2023.emnlp-main.516 |
| Publisher version: | https://doi.org/10.18653/v1/2023.emnlp-main.516 |
| Language: | English |
| Additional information: | ACL materials are Copyright © 1963–2024 ACL; other materials are copyrighted by their respective copyright holders. Materials prior to 2016 here are licensed under the Creative Commons Attribution-NonCommercial-ShareAlike 3.0 International License. Permission is granted to make copies for the purposes of teaching and research. Materials published in or after 2016 are licensed on a Creative Commons Attribution 4.0 International License. |
| UCL classification: | UCL UCL > Provost and Vice Provost Offices > UCL BEAMS UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Computer Science |
| URI: | https://discovery-pp.ucl.ac.uk/id/eprint/10187610 |
Archive Staff Only
 |
View Item |
