2 code implementations • 6 Dec 2024 • Thibault Le Sellier De Chezelles, Maxime Gasse, Alexandre Drouin, Massimo Caccia, Léo Boisvert, Megh Thakkar, Tom Marty, Rim Assouel, Sahar Omidi Shayegan, Lawrence Keunho Jang, Xing Han Lù, Ori Yoran, Dehan Kong, Frank F. Xu, Siva Reddy, Quentin Cappart, Graham Neubig, Ruslan Salakhutdinov, Nicolas Chapados, Alexandre Lacoste
The BrowserGym ecosystem addresses the growing need for efficient evaluation and benchmarking of web agents, particularly those leveraging automation and Large Language Models (LLMs) for web interaction tasks.
1 code implementation • 7 Jul 2024 • Léo Boisvert, Megh Thakkar, Maxime Gasse, Massimo Caccia, Thibault Le Sellier De Chezelles, Quentin Cappart, Nicolas Chapados, Alexandre Lacoste, Alexandre Drouin
The ability of large language models (LLMs) to mimic human-like intelligence has led to a surge in LLM-based autonomous agents.
2 code implementations • 12 Mar 2024 • Alexandre Drouin, Maxime Gasse, Massimo Caccia, Issam H. Laradji, Manuel Del Verme, Tom Marty, Léo Boisvert, Megh Thakkar, Quentin Cappart, David Vazquez, Nicolas Chapados, Alexandre Lacoste
We study the use of large language model-based agents for interacting with software via web browsers.
1 code implementation • 9 Mar 2024 • Léo Boisvert, Hélène Verhaeghe, Quentin Cappart
In response to this challenge, this paper advocates for progress toward a fully generic representation of combinatorial problems for learning-based approaches.