Update README.md

README.md

@@ -1,19 +1,19 @@
----
-license: cc-by-nc-4.0
-task_categories:
-- question-answering
-language:
-- zh
-- en
-tags:
-- social
-- survey
-- evaluation
-- simulation
-pretty_name: DEFSurveySim
-size_categories:
-- 1K<n<10K
----
+---
+license: cc-by-nc-4.0
+task_categories:
+- question-answering
+language:
+- zh
+- en
+tags:
+- social
+- survey
+- evaluation
+- simulation
+pretty_name: DEFSurveySim
+size_categories:
+- 1K<n<10K
+---
 # Dataset Card for DEFSurveySim
 
 ## Dataset Summary
@@ -27,7 +27,7 @@ This dataset comprises carefully selected questions about human value preference
 - **[USA Today/Ipsos Poll](https://doi.org/10.25940/ROPER-31120147)**: Surveys a diverse group of 1,023 adults aged 18 or older, including 311 Democrats, 290 Republicans, and 312 independents.
 - **[Chinese Social Survey](http://css.cssn.cn/css\_sy/)**: Longitudinal surveys focus on labor and employment, family and social life, and social attitudes.
 
-The data supports research described in: [Towards Realistic Evaluation of Cultural Value Alignment in Large Language Models: Diversity Enhancement for Survey Response Simulation]()
+The data supports research published on Information Processing & Management titled: [Towards Realistic Evaluation of Cultural Value Alignment in Large Language Models: Diversity Enhancement for Survey Response Simulation](https://www.sciencedirect.com/science/article/pii/S030645732500041X?dgcid=author)
 
 ## Purpose
 This dataset enables:
@@ -76,5 +76,17 @@ For implementation details and code examples, visit our [GitHub repository](http
 
 ## Citation
 ```bibtex
-TODO
+@article{LIU2025104099,
+title = {Towards realistic evaluation of cultural value alignment in large language models: Diversity enhancement for survey response simulation},
+journal = {Information Processing & Management},
+volume = {62},
+number = {4},
+pages = {104099},
+year = {2025},
+issn = {0306-4573},
+doi = {https://doi.org/10.1016/j.ipm.2025.104099},
+url = {https://www.sciencedirect.com/science/article/pii/S030645732500041X},
+author = {Haijiang Liu and Yong Cao and Xun Wu and Chen Qiu and Jinguang Gu and Maofu Liu and Daniel Hershcovich},
+keywords = {Evaluation methods, Value investigation, Survey simulation, Large language models, U.S.-china cultures},
+}
 ```