3 papers
cs.LG2026
DORA: A Scalable Asynchronous Reinforcement Learning System for Language Model Training
Tianhao Hu, Xiangcheng Liu, Youshao Xiao +21
Reinforcement learning (RL) has become a critical paradigm for LLM post-training, yet the rollout phase -- accounting for 50--80% of total step time -- is bottlenecked by skewed ge…
cs.RO2026
DyGeoVLN: Infusing Dynamic Geometry Foundation Model into Vision-Language Navigation
Xiangchen Liu, Hanghan Zheng, Jeil Jeong +5
Vision-language Navigation (VLN) requires an agent to understand visual observations and language instructions to navigate in unseen environments. Most existing approaches rely on…
cs.AI2026
GUI-Eyes: Tool-Augmented Perception for Visual Grounding in GUI Agents
Chen Chen, Jiawei Shao, Dakuan Lu +4
Recent advances in vision-language models (VLMs) and reinforcement learning (RL) have driven progress in GUI automation. However, most existing methods rely on static, one-shot vis…