USPTO-LLM: A Large Language Model-Assisted Information-enriched Chemical Reaction Dataset.
Shen Yuan|Shukai Gong|Hongteng Xu
| Anthology ID: | DBLP:conf/www/YuanGX25 |
|---|---|
| Volume: | Companion Proceedings of the ACM on Web Conference 2025, WWW 2025, Sydney, NSW, Australia, 28 April 2025 - 2 May 2025 |
| Year: | 2025 |
| Venue: | The Web Conference (WWW) |
| Publisher: | ACM |
| Pages: | 817-820 |
| URL: | https://doi.org/10.1145/3701716.3715295 |
| DOI: | https://doi.org/10.1145/3701716.3715295 |
| DBLP: | conf/www/YuanGX25 |
| BibTeX: |
@inproceedings{yuan-2025-usptollm,
author = {Shen Yuan and
Shukai Gong and
Hongteng Xu},
editor = {Guodong Long and
Michale Blumestein and
Yi Chang and
Liane Lewin-Eytan and
Zi Huang and
Elad Yom-Tov},
title = {{USPTO-LLM: A Large Language Model-Assisted Information-enriched Chemical Reaction Dataset}},
booktitle = {{Companion Proceedings of the ACM on Web Conference 2025, WWW 2025, Sydney, NSW, Australia, 28 April 2025 - 2 May 2025}},
pages = {817--820},
publisher = {ACM},
year = {2025},
url = {https://doi.org/10.1145/3701716.3715295},
doi = {https://doi.org/10.1145/3701716.3715295}
}