Datasets:
Update README.md
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README.md
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# Measuring Steerability in Large Language Models
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Official dataset release of 4D steerability probe (reading difficulty, formality, textual diversity, text length goal-space).
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# Measuring Steerability in Large Language Models
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Official dataset release of 4D steerability probe (reading difficulty, formality, textual diversity, text length goal-space). Initial probe contains 2,048 prompts used in our paper (32 different rewrites over 64 texts).
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## Results
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Here, we will retain the most recent versions of SteerBench for top-performing models. Shown here: steering error of recent models (`mean (std. dev.)`).
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<table>
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<tr>
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<td><b>Model family</b></td>
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<td><b>Model name</b></td>
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<td><b>SteerBench-2506 (↓)</b></td>
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</tr>
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<tr>
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<td rowspan=5><b>Llama3</b></td>
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<td>Llama3-8B</td>
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<td>0.53 (0.22)</td>
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</tr>
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<tr>
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<td>Llama3.1-8B</td>
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<td>0.50 (0.20)</td>
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</tr>
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<tr>
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<td>Llama3-70B</td>
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<td>0.50 (0.21)</td>
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</tr>
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<tr>
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<td>Llama3.1-70B</td>
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<td>0.48 (0.21)</td>
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</tr>
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<tr>
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<td>Llama3.3-70B</td>
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<td>0.49 (0.21)</td>
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</tr>
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<tr>
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<td rowspan=4><b>GPT</b></td>
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<td>GPT-3.5 turbo</td>
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<td>0.55 (0.23)</td>
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</tr>
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<tr>
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<td>GPT-4 turbo</td>
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<td>0.56 (0.22)</td>
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</tr>
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<tr>
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<td>GPT-4o</td>
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<td>0.50 (0.20)</td>
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</tr>
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<tr>
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<td>GPT-4.1</td>
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<td>0.46 (0.19)</td>
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</tr>
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<tr>
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<td rowspan=2><b>OpenAI o-series</b></td>
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<td>o1-mini</td>
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<td><i>0.53 (0.21)*</i></td>
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</tr>
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<tr>
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<td>o3-mini</td>
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<td><i>0.55 (0.22)*</i></td>
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</tr>
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<tr>
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<td rowspan=2><b>Deepseek-R1</b></td>
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<td>Deepseek-R1-Distill-Llama-8B</td>
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<td>0.57 (0.24)</td>
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</tr>
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<tr>
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<td>Deepseek-R1-Distill-Llama-70B</td>
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<td>0.52 (0.22)</td>
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</tr>
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<tr>
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<td rowspan=4><b>Qwen3</b></td>
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<td>Qwen-32B (no thinking)</td>
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<td>0.57 (0.23)</td>
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</tr>
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<tr>
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<td>Qwen-32B (thinking)</td>
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<td>0.57 (0.23)</td>
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</tr>
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<tr>
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<td>Qwen-30B-A3B (no thinking)</td>
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<td>0.52 (0.22)</td>
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</tr>
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<tr>
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<td>Qwen-30B-A3B (thinking)</td>
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<td>0.52 (0.22)</td>
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</tr>
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</table>
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* refusal rate >5%
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