README.md

---
library_name: transformers
tags: []
pipeline_tag: text-generation
license: mit
base_model:
- deepseek-ai/DeepSeek-R1-Distill-Qwen-32B
---

**Repository for:**

**ThinkEdit-deepseek-qwen-32b**

(We also release ThinkEdit versions for ThinkEdit-deepseek-qwen-1.5b, ThinkEdit-deepseek-llama3-8b, and ThinkEdit-deepseek-qwen-14b.)

**Authors**: Chung-En Sun, Ge Yan, Tsui-Wei Weng  
**Paper**: [ThinkEdit: Interpretable Weight Editing to Mitigate Overly Short Thinking in Reasoning Models](https://arxiv.org/abs/2503.22048)

Github: https://github.com/Trustworthy-ML-Lab/ThinkEdit

---

## Introduction

Reasoning-augmented models sometimes fail by generating **overly short**, abstract chain-of-thought (CoT) reasoning, hurting their accuracy.

**ThinkEdit** is a lightweight weight-editing method that:

- Identifies ~4% of "short reasoning" attention heads  
- Edits only ~0.2% of total parameters  
- Removes the "short reasoning" direction from their output  
- Boosts performance, especially on cases with short reasoning traces  

---

## Full Performance Results

### 1. Overall Accuracy

| Model                            | GSM8K               | MMLU Elementary Math | MATH-Level1         | MATH-Level5         | MATH-500            |
|---------------------------------|---------------------|----------------------|---------------------|---------------------|---------------------|
| deepseek-qwen-32b               | 92.97 ± 0.39        | 95.93 ± 0.83         | **96.41 ± 0.45**        | 91.27 ± 0.53        | **91.62 ± 0.58**        |
| **ThinkEdit-deepseek-qwen-32b** | **95.25 ± 0.25**    | **98.02 ± 0.31**     | 96.02 ± 0.42    | **91.31 ± 0.50**    | 91.60 ± 0.65    |
| deepseek-qwen-14b               | 90.80 ± 0.36        | 95.08 ± 0.65         | 96.32 ± 0.35        | 90.25 ± 0.72        | 91.48 ± 0.55        |
| **ThinkEdit-deepseek-qwen-14b** | **93.78 ± 0.50**    | **96.56 ± 0.84**     | **96.38 ± 0.52**    | **91.03 ± 0.44**    | **91.92 ± 0.63**    |
| deepseek-llama3-8b              | 82.26 ± 0.91        | 96.01 ± 0.62         | 93.46 ± 0.84        | 85.49 ± 0.83        | 87.26 ± 1.16        |
| **ThinkEdit-deepseek-llama3-8b**| **89.44 ± 0.55**    | **96.19 ± 0.73**     | **94.44 ± 0.31**    | **86.49 ± 0.54**    | **88.06 ± 1.09**    |
| deepseek-qwen-1.5b              | 79.15 ± 1.08        | 68.52 ± 1.56         | 93.00 ± 0.33        | **75.48 ± 0.90**        | 82.22 ± 1.29        |
| **ThinkEdit-deepseek-qwen-1.5b**| **84.56 ± 0.79**    | **90.66 ± 0.97**     | **93.66 ± 0.62**    | 75.05 ± 0.82    | **82.24 ± 0.89**    |

---

### 2. Accuracy on Short Reasoning Cases (Top 5% / 10% / 20%)

| Model                            | GSM8K                            | MMLU Elementary Math              | MATH-Level1                      | MATH-Level5                      | MATH-500                         |
|---------------------------------|---------------------------------|----------------------------------|----------------------------------|----------------------------------|----------------------------------|
| deepseek-qwen-32b               | 98.31 / 97.18 / 96.20           | 97.78 / 97.03 / 95.87            | 100.00 / 100.00 / **98.97**      | 93.03 / 96.36 / 97.35            | 86.40 / 92.00 / 94.00            |
| **ThinkEdit-deepseek-qwen-32b** | **98.92** / **97.71** / **97.83** | **97.78** / **97.57** / **97.20** | **100.00** / **100.00** / 98.74   | **98.03** / **98.64** / **97.99** | **92.00** / **94.40** / **95.80** |
| deepseek-qwen-14b               | **96.31** / 95.65 / 92.93           | 93.89 / **96.22** / 95.60         | 99.52 / **99.30** / 97.70         | 89.39 / 94.32 / 96.25            | 86.40 / 91.40 / 93.50            |
| **ThinkEdit-deepseek-qwen-14b** | **96.31** / **96.18** / **96.77** | **97.78** / 95.14 / **96.53**     | **99.53** / 98.62 / **98.67**     | **96.67** / **97.88** / **98.11** | **91.20** / **93.20** / **95.00** |
| deepseek-llama3-8b              | 88.92 / 87.18 / 85.82           | 97.22 / 96.49 / 96.80            | 97.14 / 94.88 / 94.83            | 78.64 / 88.79 / 93.41            | 82.00 / 81.40 / 88.30            |
| **ThinkEdit-deepseek-llama3-8b**| **97.08** / **95.27** / **93.95** | **97.78** / **98.65** / **97.87** | **100.00** / **99.30** / **98.62** | **95.61** / **96.89** / **97.12** | **92.80** / **93.60** / **94.40** |
| deepseek-qwen-1.5b              | 88.46 / 87.48 / 85.02           | 62.78 / 62.16 / 60.53            | **97.62** / 95.12 / 93.91         | 91.52 / 95.00 / 95.72            | 82.40 / 89.80 / 93.40            |
| **ThinkEdit-deepseek-qwen-1.5b**| **92.62** / **92.90** / **92.32** | **87.78** / **88.11** / **88.67** | 95.71 / **95.58** / **96.44**     | **95.15** / **96.59** / **97.27** | **90.80** / **92.00** / **94.20** |

---

## Usage

The usage of ThinkEdit models is exactly the same as the original deepseek-distilled models.

## Citation

```bibtex
@misc{sun2025thinkedit,
      title={ThinkEdit: Interpretable Weight Editing to Mitigate Overly Short Thinking in Reasoning Models}, 
      author={Chung-En Sun and Ge Yan and Tsui-Wei Weng},
      year={2025},
      eprint={2503.22048},
      archivePrefix={arXiv},
      primaryClass={cs.CL},
      url={https://arxiv.org/abs/2503.22048}, 
}