activity
20242026
collaborators

5 papers

cs.CV2026

Iterative Tool Usage Exploration for Multimodal Agents via Step-wise Preference Tuning

Pengxiang Li, Zhi Gao, Bofei Zhang +8

Multimodal agents, which integrate a controller e.g., a vision language model) with external tools, have demonstrated remarkable capabilities in tackling complex multimodal tasks.…

cs.CV2025

Adaptive Chain-of-Focus Reasoning via Dynamic Visual Search and Zooming for Efficient VLMs

Xintong Zhang, Zhi Gao, Bofei Zhang +8

Vision language models (VLMs) have achieved impressive performance across a variety of computer vision tasks. However, the multimodal reasoning capability has not been fully explor…

cs.CV2025

TongUI: Internet-Scale Trajectories from Multimodal Web Tutorials for Generalized GUI Agents

Bofei Zhang, Zirui Shang, Zhi Gao +7

Building Graphical User Interface (GUI) agents is a promising research direction, which simulates human interaction with computers or mobile phones to perform diverse GUI tasks. Ho…

cs.AI2025

Multi-modal Agent Tuning: Building a VLM-Driven Agent for Efficient Tool Usage

Zhi Gao, Bofei Zhang, Pengxiang Li +7

The advancement of large language models (LLMs) prompts the development of multi-modal agents, which are used as a controller to call external tools, providing a feasible way to so…

cs.CV2024

FIRE: A Dataset for Feedback Integration and Refinement Evaluation of Multimodal Models

Pengxiang Li, Zhi Gao, Bofei Zhang +6

Vision language models (VLMs) have achieved impressive progress in diverse applications, becoming a prevalent research direction. In this paper, we build FIRE, a feedback-refinemen…