Retrieval heads stay sparse and shared across MLLM modalities
Ranking training on those heads raises Qwen3-VL-8B page Recall@1 on MMDocIR by 6.03 points.
Ranking training on those heads raises Qwen3-VL-8B page Recall@1 on MMDocIR by 6.03 points.
On 22 benchmarks, average scores rise 9.7–12.6 points over matched no-tool baselines across eight backbones.
On 22 benchmarks it lifts matched no-tool baselines by 9.7 to 12.6 points across eight backbones.
A Qwen3-VL-8B dual-view time-series model lifts TSRBench accuracy from 44.5% to 53.2%.
FastBench shows streaming VLMs miss fast events; Gemini-3.5-Flash scores only 50.7%.
OneSearch-VL-8B beats tool-using Qwen3-VL-8B by up to 20.2 points on new visual research benchmarks.
FORESIGHT lets frozen Qwen3-VL-8B plan future perception in streaming video without retraining.
Ranking-aware prompt evolution lifts clinical AUROC on Qwen3-VL-8B and MedGemma-4B versus accuracy-based search.
CASE trains compact medical agents to gather longitudinal evidence, with an 8B model outperforming larger frontier systems.
MAD-Guard shows direct decision heads outperform autoregressive decoding for closed multimodal forgery forensics.
Unsloth published GGUF quantized versions of Qwen-Image-2.1, Alibaba's 7B text-to-image and editing model, using Dynamic 2.0 per-layer precision.
Community GGUF, FP8, and BF16 builds of the Qwen-Image-2.1 text encoder are trending on Hugging Face.
Comfy-Org published repackaged Qwen-Image-2.1 weights for ComfyUI, including text-to-image and image-editing workflow templates.
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