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@@ -22,7 +22,7 @@ Current reasoning LLMs (e.g., GPT-o1, DeepSeek-R1) suffer from **blind self-thin
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  **PIR (Proactive Interactive Reasoning)** is a new paradigm that transforms reasoning LLMs from passive solvers into **proactive inquirers**. Instead of guessing, PIR-enabled models detect uncertainty during reasoning and actively ask users for clarification before proceeding.
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- ![PIR Framework Overview](https://raw.githubusercontent.com/SUAT-AIRI/Proactive-Interactive-R1/refs/heads/main/image/paradigm.png)
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  ### Key Features
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  **PIR (Proactive Interactive Reasoning)** is a new paradigm that transforms reasoning LLMs from passive solvers into **proactive inquirers**. Instead of guessing, PIR-enabled models detect uncertainty during reasoning and actively ask users for clarification before proceeding.
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+ <img src="https://raw.githubusercontent.com/SUAT-AIRI/Proactive-Interactive-R1/refs/heads/main/image/paradigm.png" width="1000" alt="PIR Framework Overview">
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  ### Key Features
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