# Bad Influence story: inclusionAI releases ZoomGain paper, benchmark, RL dataset and 4B/9B checkpoints

Active · 2 articles · 1 source · First reported 11-10 06:38. Times are ET.
Story page: https://badinfluence.news/story/cc019540-0442-4545-88c4-da7ebbce405b

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[Bad Influence external source material begins]
Latest update (11-10 06:42): inclusionAI releases ZoomGain-9B and ZoomGain-4B vision-language models

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.

Coverage timeline (newest first):
1. 11-10 06:42 · inclusionAI (Ant Ling) · new models on Hugging Face (from the company) · [inclusionAI releases ZoomGain-9B and ZoomGain-4B vision-language models](https://badinfluence.news/items/yxw970pcvnhpxaadx5tqug4x0)
2. 11-10 06:38 · inclusionAI (Ant Ling) · new models on Hugging Face (from the company) · [inclusionAI releases ZoomGain paper, benchmark, RL data and checkpoints](https://badinfluence.news/items/sntf9x2mhf7d4rgxge6n6gd8e)
[Bad Influence external source material ends]

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