Bring Your Own KG: Self-Supervised Program Synthesis for Zero-shot KGQA
Camera-ready: https://aclanthology.org/2024.findings-naacl.57
Previous version (ArXiv): https://arxiv.org/abs/2311.07850
- 24/04/01: Our source code (and MAIN REPO) is now at amazon-science/BYOKG-NAACL24!
- 24/03/20: We are in the final stages of adding a public repository to the Amazon Science GitHub. Thank you for your patience!
- 24/03/13: Accepted to NAACL 2024: Findings!
- 24/03/11: Accepted to ICLR 2024: LLM Agents Workshop!
- 23/11/16: We are working to make the code available very soon. Please stay tuned!
@inproceedings{agarwal-etal-2024-bring,
title = "Bring Your Own {KG}: Self-Supervised Program Synthesis for Zero-Shot {KGQA}",
author = "Agarwal, Dhruv and
Das, Rajarshi and
Khosla, Sopan and
Gangadharaiah, Rashmi",
editor = "Duh, Kevin and
Gomez, Helena and
Bethard, Steven",
booktitle = "Findings of the Association for Computational Linguistics: NAACL 2024",
month = jun,
year = "2024",
address = "Mexico City, Mexico",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/2024.findings-naacl.57",
pages = "896--919"
}