#visionlanguagemodels

Multimodal fine-tuning adds an image encoder into the picture, literally. What changes in data format, compute needs and evaluation compared to text-o

Researchers report that off-the-shelf vision-language models can control robots with no robotics training at all, provided they are handed a simple menu of semantic actions - suggesting a large share of robot capability sits in the interface rather t

Asked to count simple events in short synthetic clips, Google's Gemini 3.6 Flash got the final count right 0.2 percent of the time in the hardest setting and recovered only 18 percent of the events that actually occurred.

A new benchmark decouples motor control from decision-making and asks nine frontier vision-language models to find an object, walk to it and sit on it - the best completes 16.8% of episodes, and perception is not the problem.

What Changed Traditional benchmarks for visual document understanding, such as DocVQA and...

Two 2026 benchmarks argue that high vision-language-model scores are partly a mirage: a 'gated scoring' test that fails a model outright when it misses an essential fact exposes an 8% perception gap between open and proprietary models, while a second

Open-Source Vision Language Models 2026: Which to Self-Host

If you are integrating vision-language models into an automated pipeline, you've likely seen the...

In the gleaming laboratories of AI research, machines are learning to see the world as we do—almost....

Vision Language Models (VLMs) are a groundbreaking advancement in artificial intelligence, merging...