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AI Agent Papers·2026
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UI-MOPD: Multi-Platform On-Policy Distillation for Continual GUI Agent Learning

Niu Lian, Alan Chen +9

Trains cross-platform GUI agents by combining a Uni-GUI cross-platform dataset with platform-conditioned multi-teacher on-policy distillation, enabling a shared policy to adapt to new platforms while retaining platform-specific behaviors; suitable for research on continual GUI agent learning and cross-platform adaptation.

#RL#multimodal#agent-skills#ai-agent#paper+2
Hugging Face
AI Model·2026
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ThinkingCap: Qwen 3.6 27B

Karol Lasocki, Adam Osusky +9·BottleCap AI, Qwen Team

Fine-tuned variant of Qwen3.6-27B that cuts internal reasoning (‘thinking’) token usage by roughly 46% on average while preserving benchmark accuracy and safety behavior. Targets lower latency and inference cost; ships on Hugging Face with GGUF quantizations for local use.

#qwen#transformers#huggingface#llm#multimodal+5
AI Video Papers·2026
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Light-Omni: Reflex over Reasoning in Agentic Video Understanding with Long-Term Memory

Chang Nie, Jiaju Wei +3

Provides a reflexive agentic framework for long-horizon video understanding that replaces costly iterative reasoning with dual contextual states: a consolidated global multimodal script and parametric latent states for fast retrieval and response, improving speed and memory efficiency.

#video#multimodal#ai-agent#qwen#embeddings+4
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