DIVER: Unlocking Diversity in Ad Headline Generation with Large Language Models.

Chang Wang|Siyu Yan|Depeng Yuan|Yuqi Chen|Yanhua Huang|Yuanhang Zheng|Shuhao Li|Yinqi Zhang|Kedi Chen|Mingrui Zhu|Ruiwen Xu


Anthology ID:DBLP:conf/sigir/WangYYCHZLZCZX26
Volume:Proceedings of the 49th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2026, MelbourneVICAustralia, July 20-24, 2026
Year:2026
Venue:Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR)
Publisher:ACM
Pages:4981-4986
URL:https://doi.org/10.1145/3805712.3808496
DOI:https://doi.org/10.1145/3805712.3808496
DBLP:conf/sigir/WangYYCHZLZCZX26
BibTeX:
@inproceedings{wang-2026-diver, author = {Chang Wang and Siyu Yan and Depeng Yuan and Yuqi Chen and Yanhua Huang and Yuanhang Zheng and Shuhao Li and Yinqi Zhang and Kedi Chen and Mingrui Zhu and Ruiwen Xu}, editor = {Hannah Bast and Alistair Moffat and Falk Scholer and Marc Najork and Min Zhang and Hannah Bast and Marc Najork and Min Zhang}, title = {{DIVER: Unlocking Diversity in Ad Headline Generation with Large Language Models}}, booktitle = {{Proceedings of the 49th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2026, MelbourneVICAustralia, July 20-24, 2026}}, pages = {4981--4986}, publisher = {ACM}, year = {2026}, url = {https://doi.org/10.1145/3805712.3808496}, doi = {https://doi.org/10.1145/3805712.3808496} }