Leveraging LLMs for Web Automation
Streamlining digital workflows and increasing web accessibility
Novel Research Foundation
Our research is redefining the boundaries of what’s possible with LLM technology. We’ve pioneered the integration of LLMs into web automation, significantly enhancing their capabilities as powerful virtual assistants.
V1
V2…
In the works
Accepted to IHCI 2024
The technical manuscript V1 will appear at the 16th International Conference on Intelligent Human-Computer Interaction (IHCI 2024) and will be published in Springer Lecture Notes in Computer Science.
Novel Research Foundation
Our research is redefining the boundaries of what’s possible with LLM technology. We’ve pioneered the integration of LLMs into web automation, significantly enhancing their capabilities as powerful virtual assistants.
V1
Accepted to IHCI 2024
The technical manuscript V1 will appear at the 16th International Conference on Intelligent Human-Computer Interaction (IHCI 2024) and will be published in Springer Lecture Notes in Computer Science.
We've developed advanced memory retention capabilities for LLMs, strengthening their ability to make accurate, real-time automation decisions. Our LLM agents to retaining greater contextual knowledge to handle complex workflows.
V2
V3…
In the works
Accepted to MLHMI
The V2 manuscript will appear at the 6th International Conference on Machine Learning and Human-Computer Interaction (MLHMI 2025) and will be published in IEEEXplore.
Demoed at ChicagoJS
October 2024. Developers and industry leaders alike recognized the potential of the solution.
Questions?
Reach us at contact@dexassist.com