DARA: Few-shot Budget Allocation in Online Advertising via In-Context Decision Making with RL-Finetuned LLMs.

Mingxuan Song|Yusen Huo|Bohan Zhou|Shenglin Yin|Zhen Xiao|Jieyi Long|Zhilin Zhang|Chuan Yu


Anthology ID:DBLP:conf/www/SongHZYXLZY26
Volume:Proceedings of the ACM Web Conference 2026, WWW 2026, Dubai, United Arab Emirates, originally scheduled for April 13-17, 2026, rescheduled for June 29 - July 3, 2026.
Year:2026
Venue:The Web Conference (WWW)
Publisher:ACM
Pages:40-50
URL:https://doi.org/10.1145/3774904.3792129
DOI:https://doi.org/10.1145/3774904.3792129
DBLP:conf/www/SongHZYXLZY26
BibTeX:
@inproceedings{song-2026-dara, author = {Mingxuan Song and Yusen Huo and Bohan Zhou and Shenglin Yin and Zhen Xiao and Jieyi Long and Zhilin Zhang and Chuan Yu}, editor = {Hakim Hacid and Yoelle Maarek and Francesco Bonchi and Ido Guy and Emine Yilmaz}, title = {{DARA: Few-shot Budget Allocation in Online Advertising via In-Context Decision Making with RL-Finetuned LLMs}}, booktitle = {{Proceedings of the ACM Web Conference 2026, WWW 2026, Dubai, United Arab Emirates, originally scheduled for April 13-17, 2026, rescheduled for June 29 - July 3, 2026}}, pages = {40--50}, publisher = {ACM}, year = {2026}, url = {https://doi.org/10.1145/3774904.3792129}, doi = {https://doi.org/10.1145/3774904.3792129} }