Tencent Releases WeVisOne-VL Unified Vision Language Model
Tencent's WeVisOne-VL handles detection, OCR, segmentation and matting in one open model for 2B and 4B sizes.
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Tencent's WeVisOne-VL handles detection, OCR, segmentation and matting in one open model for 2B and 4B sizes.
Qwen3.5-0.8B with external sheet memory proves exact arithmetic for all input lengths after checking finite views in Lean.
Kev-Bio uses language model decisions to generate queries for landmark detection on the FU/GU Biometry 2026 dataset.
A 27B vision-language model fine-tuned only in simulation matches GPT-6 Astra and beats MolmoAct2's 33.3% in the same harness.
A YOLOv8 detector routed to an open-weight vision-language model reached 85.4% accuracy and retrains from its own labels.
CameraVLM, a 9B model, judges camera motion better than prior VLMs and matches humans.
Researchers test when a fast Doom actor should defer uncertain decisions to a slower reasoning model.
LeRF trains vision-language models to build explicit reference frames for perspective-taking spatial reasoning.
SpatialSpeak pretrains vision-language models on multi-view reconstruction, reaching a 62.8 ReVSI spatial-reasoning score.
Researchers show Meta Quest 3 screenshots diverge from human vision, creating prompt-injection and privacy risks for XR AI.
Apple released LensVLM-9B, a vision-language model that selectively expands compressed document pages.

Alibaba's Damo Academy open-sourced Damo Radar, a vision-language model that reads CT scans to detect nearly 150 abdominal conditions including cancers.
MintAct vision-language models at 2B, 4B, and 8B unify UI grounding, multi-step navigation, and visual tool use, matching per-domain specialists.
Researchers introduce PANORAMA, a vision-language model grounding caption phrases in pixel masks, alongside the PanoCaps benchmark and gPQ metric.
PhysBrain 1.5, an 8B physical foundation model, sets open-source state of the art across 28 embodied understanding benchmarks.
Ambient team wins EgoLongQA 2026 sub-2B division by distilling an agentic long-video perception pipeline into a 2B vision-language model.
TRACE, a training-free visual token pruning framework, cuts GUI agent inference latency and memory while keeping trajectory-wide visual evidence reusable.

Alibaba's Qwen-Drive 1.0 adds 3D perception and planning modules to Qwen3.5-4B for driving tasks, though explanations often mismatch maneuvers.
CARDEA, a vision-language model trained only on public data, matches cardiologists on coronary angiography complexity assessment while exposing auditable bounding-box evidence.
New framework distills 2D editing and VLM priors into a feed-forward 3D editing model without paired 3D training data.
DeepSeek released DeepSeek-V4-Flash-Vision-Exp, its first experimental multimodal model, with large multimodal agent benchmark gains over V4-Flash-0731.
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