2 citations · 3 across the 16 of their papers we have counts for
6 papers · 1 filter
Cracking Mobile Manipulation: From Failure Diagnosis to Agentic Robot System
Zixuan Wang, Jia-Ning Li, Yinzhou Tang +5
Recent vision-language-action (VLA) models have shown strong performance on local robot manipulation, yet their success does not readily translate to long-horizon mobile manipulati…
MARS: Systematic Multi-Level Acceleration for World Action Models
Zengyuan Zuo, Yongchang Zhang, Guangyu Zhao +4
World Action Models (WAMs) have emerged as a promising alternative for embodied intelligence by jointly predicting future world states and robot actions. However, their heavy visua…
Scaling GUI Agents with Visual State Transitions
Xiangyan Liu, Kaixin Li, Haonan Wang +6
We introduce State Transition Pretraining (STP) as a new scaling axis for GUI agents. During the STP stage, we continually pretrain a unified multimodal model on visual state trans…
I-WebGenBench : Evaluating Interactivity in LLM-Generated Scientific Web Applications
Dasen Dai, Biao Wu, Meng Fang +2
Recent advances in visual language models have enabled autonomous agents for complex reasoning, tool use, and document understanding. However, existing document agents mainly trans…
DOSE: Data Selection for Multi-Modal LLMs via Off-the-Shelf Models
Biao Wu, Yiwu Zhong, Meng Fang +1
High-quality and diverse multimodal data are essential for improving vision-language models (VLMs), yet existing datasets often contain noisy, redundant, and poorly aligned samples…
PaperVoyager : Building Interactive Web with Visual Language Models
Dasen Dai, Biao Wu, Meng Fang +1
Recent advances in visual language models have enabled autonomous agents for complex reasoning, tool use, and document understanding. However, existing document agents mainly trans…