Update README.md

README.md

@@ -7,7 +7,7 @@ size_categories:
 ---
 # Stack Overflow Dataset
 
-This dataset contains badge awards earned by users on Stack Overflow between January 1, 2022, and December 31, 2023. It includes 3,336 sequences with 187,836 events and 25 badge types, derived from the [Stack Exchange Data Dump](https://archive.org/details/stackexchange) under the [CC BY-SA 4.0 license](https://creativecommons.org/licenses/by-sa/4.0/). The detailed data preprocessing steps used to create this dataset can be found in the [TPP-LLM paper](https://arxiv.org/abs/2410.02062) and [TPP-LLM-Embedding paper](https://arxiv.org/abs/2410.14043).
+This dataset contains badge awards earned by users on Stack Overflow between January 1, 2022, and December 31, 2023. It includes 3,336 sequences with 187,836 events and 25 badge types, derived from the [Stack Exchange Data Dump](https://archive.org/details/stackexchange) under the [CC BY-SA 4.0 license](https://creativecommons.org/licenses/by-sa/4.0/). The detailed data preprocessing steps used to create this dataset can be found in the [TPP-LLM paper](https://arxiv.org/abs/2410.02062) and [TPP-Embedding paper](https://arxiv.org/abs/2410.14043).
 
 **Update (2025-10-28):** Added three timestamp fields (`timestamp_event`, `timestamp_since_start`, `timestamp_since_last_event`) in seconds. No other changes were made.
 
@@ -20,8 +20,8 @@ If you find this dataset useful, we kindly invite you to cite the following pape
   year={2024}
 }
 
-@article{liu2024efficient,
-  title={Efficient Retrieval of Temporal Event Sequences from Textual Descriptions},
+@article{liu2024retrieval,
+  title={Retrieval of Temporal Event Sequences from Textual Descriptions},
   author={Liu, Zefang and Quan, Yinzhu},
   journal={arXiv preprint arXiv:2410.14043},
   year={2024}