Author

Tianyuan Qu

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Preprint Aug 2026

UI-Mate: Advancing Open-Weight Foundation GUI Agents with In-Context Demonstrations

Experiments show that UI-Mate-27B sets a new open-weight state of the art on general computer-use benchmarks, substantially improving long-horizon reliability, and makes three contributions to an environment-grounded training stack with in-context demonstration learning.

Zihan Ding, Longxu Dou, Qixiao Gao et al. · 0 citations

Jul 2026

MemVLN: Episodic and Procedural Memory for Vision-and-Language Navigation

MemVLN is proposed, a novel VLN framework that achieves state-of-the-art performance with real-time inference efficiency (14 FPS) and introduces Procedural Memory for fast action with a compact vocabulary of atomic mid-level actions to bypass auto-regressive decoding latency.

Yuqi Liu, Sheng-Ju Qian, Tianyuan Qu et al. · arXiv.org · 0 citations