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} }