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Web Agents
WorkArena++: Towards Compositional Planning and Reasoning-based Common Knowledge Work Tasks
The ability of large language models (LLMs) to mimic human-like intelligence has led to a surge in LLM-based autonomous agents. Though …
Léo Boisvert
,
Megh Thakkar
,
Maxime Gasse
,
Massimo Caccia
,
Thibault Le Sellier De Chezelles
,
Quentin Cappart
,
Nicolas Chapados
,
Alexandre Lacoste
,
Alexandre Drouin
NeurIPS Datasets and Benchmarks Track (NeurIPS Datasets), 2024.
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An Ecosystem for Web Agents: WorkArena, BrowserGym, AgentLab and more
The BrowserGym ecosystem addresses the growing need for efficient evaluation and benchmarking of web agents, particularly those …
Alexandre Lacoste
,
Maxime Gasse
,
Thibault Le Sellier De Chezelles
,
Massimo Caccia
,
Léo Boisvert
,
Megh Thakkar
,
Alexandre Drouin
,
Nicolas Chapados
Montreal AI Symposium (MAIS), 2024.
Citation
WorkArena: How Capable are Web Agents at Solving Common Knowledge Work Tasks?
We study the use of large language model-based agents for interacting with software via web browsers. Unlike prior work, we focus on …
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
International Conference on Machine Learning (ICML), 2024.
Article
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Vidéo
WorkArena: How Capable are Web Agents at Solving Common Knowledge Work Tasks?
We study the use of large language model-based agents for interacting with software via web browsers. Unlike prior work, we focus on …
Alexandre Drouin
,
Maxime Gasse
,
Massimo Caccia
,
Issam H. Laradji
,
Manuel Del Verme
,
Tom Marty
,
David Vazquez
,
Nicolas Chapados
,
Alexandre Lacoste
Workshop at the International Conference of Learning Representation (ICLR), 2024.
Article
Citation
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Vidéo
The Unsolved Challenges of LLMs in Open-Ended Web Tasks: A Case Study
In this work, we investigate the challenges associated with developing goal-driven AI agents capable of performing open-ended tasks in …
Rim Assouel
,
Tom Marty
,
Massimo Caccia
,
Issam H. Laradji
,
Alexandre Drouin
,
Sai Rajeswar Mudumba
,
Hector Palacios
,
Quentin Cappart
,
David Vazquez
,
Nicolas Chapados
,
Maxime Gasse
,
Alexandre Lacoste
Workshop at the Neural Information Processing Systems (NeurIPS), 2023.
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