Files changed (1) hide show
  1. README.md +2 -8
README.md CHANGED
@@ -11,16 +11,10 @@ tags:
11
  This model is a fine-tuned version of [Qwen/Qwen2.5-1.5B-Instruct](https://huggingface.co/Qwen/Qwen2.5-1.5B-Instruct) on the [EASE-SafetyReasoning](https://huggingface.co/datasets/HaonanShi/EASE-STAR41K-SafetyReasoning-10K) dataset.
12
 
13
  ## Model description
14
- This is the safety reasoning aligned version model under the framework,[**EASE**](https://arxiv.org/pdf/2511.06512).
15
- We fine-tune Qwen2.5-1.5B-Instruct to enable **adaptive safety reasoning activation**.
16
- The model triggers explicit safety reasoning only under jailbreak-like semantics, while avoiding unnecessary safety reasoning on benign or general prompts.
17
- This design aims to maintain the model’s general task effectiveness and efficiency, while improving robustness against jailbreak attacks.
18
 
19
  ## Intended use
20
- - Safety-oriented research on:
21
- - safety alignment
22
- - small language models
23
- - jailbreak robustness
24
 
25
  ## Citation
26
  If our model could help you, please cite our paper, thanks!🤗
 
11
  This model is a fine-tuned version of [Qwen/Qwen2.5-1.5B-Instruct](https://huggingface.co/Qwen/Qwen2.5-1.5B-Instruct) on the [EASE-SafetyReasoning](https://huggingface.co/datasets/HaonanShi/EASE-STAR41K-SafetyReasoning-10K) dataset.
12
 
13
  ## Model description
14
+ This is the safety reasoning aligned version model under the framework,[**EASE**](https://arxiv.org/pdf/2511.06512).We fine-tune Qwen2.5-1.5B-Instruct to enable **adaptive safety reasoning activation**. The model triggers explicit safety reasoning only under jailbreak-like semantics, while avoiding unnecessary safety reasoning on benign or general prompts. This design aims to maintain the model’s general task effectiveness and efficiency, while improving robustness against jailbreak attacks.
 
 
 
15
 
16
  ## Intended use
17
+ Safety-oriented research on: (1)safety alignment, (2)small language models and (3)jailbreak robustness.
 
 
 
18
 
19
  ## Citation
20
  If our model could help you, please cite our paper, thanks!🤗