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cs.AI2026
AutoRAS: Learning Robust Agentic Systems with Primitive Representations
Yang Yue, Xuancheng Zhu, Yuyang Ma +7
The automated design of agentic systems offers a promising pathway for scaling large language models (LLMs) beyond single-agent reasoning. While prior work has advanced task perfor…
cs.AI2026
LiteGUI: Distilling Compact GUI Agents with Reinforcement Learning
Yubin Wu, Zicheng Cai, Liping Ning +4
Developing lightweight, on-device vision-language GUI agents is essential for efficient cross-platform automated interaction. However, current on-device agents are constrained by l…
cs.AI2026
Reallocating Attention Across Layers to Reduce Multimodal Hallucination
Haolang Lu, Bolun Chu, WeiYe Fu +7
Multimodal large reasoning models (MLRMs) often suffer from hallucinations that stem not only from insufficient visual grounding but also from imbalanced allocation between percept…