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  ## Overview
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  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](#).
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  > *Note*: Our model is subject to the following constraints:
 
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  ## Overview
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+ > **GitHub repository** for exploring the source code and additional resources: https://github.com/wangkevin02/USP
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  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](#).
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  > *Note*: Our model is subject to the following constraints: