iTIMO: An LLM-empowered Synthesis Dataset for Travel Itinerary Modification.

Joost de Wit|Zhuoxuan Huang|Hua Ma|Jiahui Shi|Yunshan Ma|Vivek Chaurasiya|Zhu Sun|Hongyu Zhang|Hua Ma|Jiahui Shi|Vivek Chaurasiya|Zhu Sun|Joost de Wit|Zhuoxuan Huang


Anthology ID:DBLP:conf/sigir/HuangMZMS26
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:3235-3243
URL:https://doi.org/10.1145/3805712.3808576
DOI:https://doi.org/10.1145/3805712.3808576
DBLP:conf/sigir/HuangMZMS26
BibTeX:
@inproceedings{wit-2026-itimo, author = {Joost de Wit and Zhuoxuan Huang and Hua Ma and Jiahui Shi and Yunshan Ma and Vivek Chaurasiya and Zhu Sun and Hongyu Zhang and Hua Ma and Jiahui Shi and Vivek Chaurasiya and Zhu Sun and Joost de Wit and Zhuoxuan Huang}, 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 = {{iTIMO: An LLM-empowered Synthesis Dataset for Travel Itinerary Modification}}, booktitle = {{Proceedings of the 49th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2026, MelbourneVICAustralia, July 20-24, 2026}}, pages = {3235--3243}, publisher = {ACM}, year = {2026}, url = {https://doi.org/10.1145/3805712.3808576}, doi = {https://doi.org/10.1145/3805712.3808576} }