This is the repo for the paper "InfiGUIAgent: A Multimodal Generalist GUI Agent with Native Reasoning and Reflection". In this work, we develop a multimodal large language model-based GUI agent that enables enhanced task automation on computing devices. Our agent is trained through a two-stage supervised fine-tuning approach that focuses on fundamental GUI understanding skills and advanced reasoning capabilities, where we integrate hierarchical reasoning and expectation-reflection reasoning to enable native reasoning abilities in GUI interactions.
- 🔥[2025/1/9] Our paper "InfiGUIAgent: A Multimodal Generalist GUI Agent with Native Reasoning and Reflection" released.
- 🔥[2024/12/12] Our paper "OS Agents: A Survey on MLLM-based Agents for General Computing Devices Use" released.
- [2024/4/2] Our paper "InfiAgent-DABench: Evaluating Agents on Data Analysis Tasks" is accepted by ICML 2024.
We are in the process of uploading key artifacts from our paper to our 🤗 Hugging Face Collection.
Regarding the full model release, due to licensing restrictions on portions of our training data from third-party sources, we are currently sanitizing the dataset and retraining/refining the final model to ensure full compliance while maintaining performance.
Stay tuned for updates! 🔜