GPT-4V(ision): Generalist Web Agent Capabilities Explored with SEEACT
แนวคิดหลัก
Large multimodal models like GPT-4V can serve as powerful generalist web agents, as demonstrated by SEEACT's integration of visual understanding and acting on the web.
บทคัดย่อ
1. Introduction:
Recent advancements in large multimodal models (LMMs) like GPT-4V expand capabilities beyond traditional tasks.
Proposal of SEEACT as a generalist web agent leveraging LMMs for integrated visual understanding.
2. Data Extraction:
"GPT-4V presents a great potential for web agents—it can successfully complete 51.1% of tasks on live websites."
3. SeeAct:
Formulation of web-based tasks and essential capabilities of LMMs as generalist web agents.
4. Experiments:
Evaluation on MIND2WEB dataset showcasing the performance of different methods.
5. Related Work:
Comparison with existing works focusing on improving web agents and large multimodal models.
6. Conclusion:
SEEACT demonstrates the promise of LMMs for generalist web agents, highlighting challenges in fine-grained visual grounding.
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GPT-4V(ision) is a Generalist Web Agent, if Grounded
สถิติ
"GPT-4V presents a great potential for web agents—it can successfully complete 51.1% of tasks on live websites."