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AI Video Papers·2026
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Wave Forcing: Towards Speed-of-Light Streaming Video Generation

Yijie Jin, Yuxuan Liu +8·DENG Lab, Shanghai Jiao Tong University, Xi’an Jiaotong University +3

Streams long videos using chunk-wise causal attention and a multi-GPU pipeline. Its five-step model improves motion while maintaining visual quality; on eight H200 GPUs, end-to-end throughput reaches 134.8 FPS.

#paper#ai-video#video#ai-infra#gpu
AI Agent Papers·2026
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NorthCUA Technical Report: Turbocharging Computer-Use Agents through Experience at Scale

Chaoyun Zhang, Bingxuan Li +28

Trains computer-use agents on verified trajectories from long interactions, connecting task generation, execution, evaluation, and policy improvement in a feedback loop. Reports Nano, Mini, and Pro models across desktop and web benchmarks.

#paper#ai-agent#long-horizon#evaluation#RL+2
AI Agent Papers·2026
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Democratizing Robot-Use Agents: A Unified Harness with Open Models

Jiarui Yuan, Yuxin Zuo +26·Tsinghua University, Berkeley (*Core Contributor)

Provides a unified tool and execution harness for open-weight language models to operate robots and support further training. The paper reports a RoboDojo score of 31.39 for Qwen3.8-Flash-Next and competitive results across 19 real-world tasks.

#paper#robotics#embodied-ai#qwen#evaluation+2
AI Agent Papers·2026
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CUA-Master: Scaling Computer-use Agents through Open-World Recursive Improvements

Xinlei Yu, Gen Li +16·MMLab, CUHK +4

Mines real computer-use workflows from instructional videos, turns them into reusable skills, and composes them into verifiable tasks. An open-data and model-feedback loop guides each round of dataset expansion.

#paper#ai-agent#evaluation#benchmark#RL+1
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