Conv-FinRe: A Conversational and Longitudinal Benchmark for Utility-Grounded Financial Recommendation.

Yan Wang|Yi Han|Lingfei Qian|Yueru He|Xueqing Peng|Dongji Feng|Zhuohan Xie|Vincent Jim Zhang|Yuqing Guo|Fengran Mo|Jimin Huang|Yankai Chen|Jian-Yun Nie


Anthology ID:DBLP:conf/sigir/WangHQHPFXZGMHC26
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:3448-3455
URL:https://doi.org/10.1145/3805712.3808658
DOI:https://doi.org/10.1145/3805712.3808658
DBLP:conf/sigir/WangHQHPFXZGMHC26
BibTeX:
@inproceedings{wang-2026-convfinre, author = {Yan Wang and Yi Han and Lingfei Qian and Yueru He and Xueqing Peng and Dongji Feng and Zhuohan Xie and Vincent Jim Zhang and Yuqing Guo and Fengran Mo and Jimin Huang and Yankai Chen and Jian-Yun Nie}, 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 = {{Conv-FinRe: A Conversational and Longitudinal Benchmark for Utility-Grounded Financial Recommendation}}, booktitle = {{Proceedings of the 49th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2026, MelbourneVICAustralia, July 20-24, 2026}}, pages = {3448--3455}, publisher = {ACM}, year = {2026}, url = {https://doi.org/10.1145/3805712.3808658}, doi = {https://doi.org/10.1145/3805712.3808658} }