- Anthology ID:
- 2024.emnlp-main.232
- Volume:
- Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing
- Month:
- November
- Year:
- 2024
- Address:
- Miami, Florida, USA
- Editors:
- Yaser Al-Onaizan, Mohit Bansal, Yun-Nung Chen
- Venue:
- EMNLP
- SIG:
- Publisher:
- Association for Computational Linguistics
- Note:
- Pages:
- 3994–4019
- Language:
- URL:
- https://aclanthology.org/2024.emnlp-main.232
- DOI:
- 10.18653/v1/2024.emnlp-main.232
- Cite (ACL):
- Daniela Gottesman and Mor Geva. 2024. Estimating Knowledge in Large Language Models Without Generating a Single Token. In Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, pages 3994–4019, Miami, Florida, USA. Association for Computational Linguistics.
- Cite (Informal):
- Estimating Knowledge in Large Language Models Without Generating a Single Token (Gottesman & Geva, EMNLP 2024)
- PDF:
- https://preview.aclanthology.org/dois-2013-emnlp/2024.emnlp-main.232.pdf