inclusionAI releases ZoomGain paper, benchmark, RL dataset and 4B/9B checkpoints
Overview
inclusionAI released the ZoomGain paper, the ZoomGainBench evaluation benchmark, an RL training dataset, and ZoomGain-4B and ZoomGain-9B model checkpoints on November 11, 2026.
ZoomGain builds questions about full images from details that appear when zoomed in, using this global-to-zoom perception gap to supervise vision-language models.
The paper reports that the best of 28 models scored 61.08 on ZoomGainBench, and that ZoomGain-9B performed better than comparison models on multiple fine-grained and general perception benchmarks. Use of the Hugging Face repositories may require authentication with hf auth login, and inclusionAI directs users to each dataset and checkpoint card for its terms.
Written by AI from the articles below · updated Nov 11, 3:16 AM ET
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The articles in this story. Times are ET.
- inclusionAI (Ant Ling) · new models on Hugging FaceOfficialinclusionAI releases ZoomGain-9B and ZoomGain-4B vision-language models
AIinclusionAI released the ZoomGain paper, the ZoomGainBench evaluation benchmark, an RL training dataset, and ZoomGain-4B and ZoomGain-9B model checkpoints on November 11, 2026. The paper reports that the best of 28 models scored 61.08 on ZoomGainBench, and that ZoomGain-9B reached superior performance on multiple fine-grained and general perception benchmarks.
- inclusionAI (Ant Ling) · new models on Hugging FaceOfficialinclusionAI releases ZoomGain paper, benchmark, RL data and checkpoints
AIinclusionAI released the ZoomGain paper, the ZoomGainBench evaluation benchmark, an RL training dataset, and ZoomGain-4B and ZoomGain-9B model checkpoints on November 11, 2026. ZoomGain builds questions about full images from details that appear when zoomed in, using this global-to-zoom perception gap to supervise vision-language models. In the paper, the best of 28 models scored 61.08 on ZoomGainBench.
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