| --- |
| base_model: |
| - deepseek-ai/DeepSeek-R1-Distill-Qwen-7B |
| language: |
| - en |
| metrics: |
| - accuracy |
| library_name: transformers |
| pipeline_tag: text-generation |
| tags: |
| - Reasoning-while-asking |
| --- |
| |
| # Reasoning While Asking: Proactive Interactive Reasoning (PIR) |
|
|
| This repository contains the weights for the model presented in the paper [Reasoning While Asking: Transforming Reasoning Large Language Models from Passive Solvers to Proactive Inquirers](https://huggingface.co/papers/2601.22139). |
|
|
| - **Code:** [GitHub Repository](https://github.com/SUAT-AIRI/Proactive-Interactive-R1) |
|
|
| ## Introduction |
|
|
| Reasoning-oriented Large Language Models (LLMs) often remain limited by a *blind self-thinking* paradigm: performing extensive internal reasoning even when critical information is missing or ambiguous. |
|
|
| **PIR (Proactive Interactive Reasoning)** is a new reasoning paradigm that transforms LLMs from passive solvers into proactive inquirers that interleave reasoning with clarification. PIR-enabled models detect uncertainty during reasoning and actively ask users for clarification before proceeding, reducing hallucinations and misaligned conclusions. |
|
|
| ## Demo |
|
|
| Experience the "Reasoning While Asking" capability using the interactive script provided in the [official repository](https://github.com/SUAT-AIRI/Proactive-Interactive-R1): |
|
|
| ```bash |
| python run_demo_interactive_generation.py \ |
| --input_file "verl-tool/datasets/mip/gsm8k.json" \ |
| --model_url "http://localhost:1136" \ |
| --model_name Proactive-Interactive-R1-Math-7B \ |
| --output_dir results/ |
| ``` |
|
|
| ## Citation |
|
|
| If you find this work useful, please cite the paper: |
|
|
| ```bibtex |
| @misc{chen2026reasoningaskingtransformingreasoning, |
| title={Reasoning While Asking: Transforming Reasoning Large Language Models from Passive Solvers to Proactive Inquirers}, |
| author={Xin Chen and Feng Jiang and Yiqian Zhang and Hardy Chen and Shuo Yan and Wenya Xie and Min Yang and Shujian Huang}, |
| year={2026}, |
| eprint={2601.22139}, |
| archivePrefix={arXiv}, |
| primaryClass={cs.CL}, |
| url={https://arxiv.org/abs/2601.22139}, |
| } |
| ``` |
