Carpe diem: On the Evaluation of World Knowledge in Lifelong Language Models
Open accessAbstract
Yujin Kim, Jaehong Yoon, Seonghyeon Ye, Sangmin Bae, Namgyu Ho, Sung Ju Hwang, Se-Young Yun. Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers). 2024.
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Updating world knowledge in LLMs requires locating and editing a particular bit of knowledge in their internal parameters, which is a non-trivial task.
“updating world knowledge in LLMs requires locating and editing this particular bit of knowledge in their internal parameters-a non-trivial task [159]”
From Dissociating language and thought in large language models (2024) · cites this paper as [159]
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Cites
LoRA: Low-Rank Adaptation of Large Language Models
Hu, E. J., Shen, Y., Wallis, P., Allen-Zhu, Z., Li, Y., Wang, S., Wang, L., & Chen, W. (2021) · arXiv · doi:10.48550/arxiv.2106.09685 · Cited by 2,523 · see citing works
Question and Answer Test-Train Overlap in Open-Domain Question Answering Datasets
Lewis, P., Stenetorp, P., & Riedel, S. (2021) · Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume · doi:10.18653/v1/2021.eacl-main.86 · Cited by 145 · see citing works
Flagged first, then by citations
- Authors
- Kim, Y., Yoon, J., Ye, S., Bae, S., Ho, N., Hwang, S. J., & Yun, S.-Y.
- Affiliations
- Korea Advanced Institute of Science and Technology (KR)
- University of North Carolina at Chapel Hill (US)
- Venue
- Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers)
- Published
- 2024
- Pages
- 5401-5415
- OpenAlex
- W4401042528
- Cited by
- 2
- References
- 2
- Citations by year
- 2024: 2
- FWCI
- 0.58
- Type
- conference paper
- Language
- en
- Open access
- hybrid
- dx.doi.org
- Licence
- cc-by
- Locations
- Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL-HLT) (publishedVersion, cc-by)
- Topics
- Physical Sciences › Computer Science › Artificial Intelligence › Topic Modeling
- Physical Sciences › Computer Science › Artificial Intelligence › Natural Language Processing Techniques
- Physical Sciences › Computer Science › Artificial Intelligence › Speech and dialogue systems
- Keywords
- world knowledge, knowledge assessment, lifelong learning, large language models
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