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README.md

@@ -13,7 +13,7 @@ base_model:
 
 > **GitHub repository** for exploring the source code and additional resources: https://github.com/wangkevin02/USP
 
-Our User Simulator with Implicit Profiles (USP) replicates human-like conversational behavior in interactions with large language models (LLMs). By emulating diverse user dynamics based on predefined profiles, it reconstructs realistic user-LLM dialogues, leveraging the LLaMA-3-base-8B architecture with **Conditional Supervised Fine-Tuning (SFT)** and **Reinforcement Learning with Cycle Consistency (RLCC)**.  For a detailed methodology and insights, refer to [Our Paper](#).
+Our User Simulator with Implicit Profiles (USP) replicates human-like conversational behavior in interactions with large language models (LLMs). By emulating diverse user dynamics based on predefined profiles, it reconstructs realistic user-LLM dialogues, leveraging the LLaMA-3-base-8B architecture with **Conditional Supervised Fine-Tuning (SFT)** and **Reinforcement Learning with Cycle Consistency (RLCC)**.  For a detailed methodology and insights, refer to [Our Paper](https://arxiv.org/pdf/2502.18968).
 
 > *Note*: Our model is subject to the following constraints:
 >
@@ -97,6 +97,14 @@ print(f"Generated response: {responses}")
 If you find this model useful, please cite:
 
 ```plaintext
-[Authors], "[Paper Title]," [Venue], [Year], [URL or DOI].
+@misc{wang2025knowbettermodelinghumanlike,
+      title={Know You First and Be You Better: Modeling Human-Like User Simulators via Implicit Profiles}, 
+      author={Kuang Wang and Xianfei Li and Shenghao Yang and Li Zhou and Feng Jiang and Haizhou Li},
+      year={2025},
+      eprint={2502.18968},
+      archivePrefix={arXiv},
+      primaryClass={cs.CL},
+      url={https://arxiv.org/abs/2502.18968}, 
+}
 ```