111 citations · 225 across the 21 of their papers we have counts for
6 papers · 1 filter
AgentTrek: Agent Trajectory Synthesis via Guiding Replay with Web Tutorials
Yiheng Xu, Dunjie Lu, Zhennan Shen +5
Graphical User Interface (GUI) agents can automate complex tasks across digital environments, but their development is hindered by the scarcity of high-quality trajectory data for…
Aguvis: Unified Pure Vision Agents for Autonomous GUI Interaction
Yiheng Xu, Zekun Wang, Junli Wang +6
Automating GUI tasks remains challenging due to reliance on textual representations, platform-specific action spaces, and limited reasoning capabilities. We introduce Aguvis, a uni…
CFSP: An Efficient Structured Pruning Framework for LLMs with Coarse-to-Fine Activation Information
Yuxin Wang, Minghua Ma, Zekun Wang +7
The colossal parameters and computational overhead of Large Language Models (LLMs) challenge their real-world applications. Network pruning, which targets unstructured or structure…
GUIDE: A Guideline-Guided Dataset for Instructional Video Comprehension
Jiafeng Liang, Shixin Jiang, Zekun Wang +7
There are substantial instructional videos on the Internet, which provide us tutorials for completing various tasks. Existing instructional video datasets only focus on specific st…
Divide-and-Conquer Meets Consensus: Unleashing the Power of Functions in Code Generation
Jingchang Chen, Hongxuan Tang, Zheng Chu +4
Despite recent progress made by large language models in code generation, they still struggle with programs that meet complex requirements. Recent work utilizes plan-and-solve deco…
CogGPT: Unleashing the Power of Cognitive Dynamics on Large Language Models
Yaojia Lv, Haojie Pan, Zekun Wang +6
Cognitive dynamics are pivotal to advance human understanding of the world. Recent advancements in large language models (LLMs) reveal their potential for cognitive simulation. How…