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AI Video Papers·2026
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Making MLLM Latents Matter: Factor-Aware Predictive Learning for Cinematic Video Generation

Songlin Yang, Zhe Wang +9·MMLab@HKUST, The Hong Kong University of Science and Technology, Tencent Video +1

Trains video diffusion models to use multimodal language-model representations for generating video from sparse inputs and controlling factors such as characters, scenes, actions, and camera movement.

#paper#research#video#ai-video#multimodal+1
Large Language Model Papers·2026
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IQuest-Q1: Advancing Foundation Capabilities for Agentic CLI Systems

A. Jian Yang, An Huang +174·IQuest Research

Handles coding and general tasks through command-line tools, with multi-stage training, reinforcement learning, and distillation aimed at reliable tool use and long-horizon execution.

#paper#foundation-model#moe#mixture-of-experts#ai-agent+7
Computer Vision Papers·2026
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WeVisOne-VL: Unified Visual Perception from Objects to Pixels

Tianming Liang, Junyi Pan +6·WeChat Vision, Tencent Inc.

Unifies detection, localization, counting, and OCR with segmentation and matting in one vision-language model, using structured tokens for coordinates and pixel-level outputs.

#paper#research#vision#multimodal#ocr+4
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