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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
Citation
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Vidéo
Evaluating In-Context Learning of Libraries for Code Generation
Contemporary Large Language Models (LLMs) exhibit a high degree of code generation and comprehension capability. A particularly …
Arkil Patel
,
Siva Reddy
,
Dzmitry Bahdanau
,
Pradeep Dasigi
North American Chapter of the Association for Computational Linguistics (NAACL), 2024.
Article
Citation
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Efficient Dynamics Modeling in Interactive Environments with Koopman Theory
The accurate modeling of dynamics in interactive environments is critical for successful long-range prediction. Such a capability could …
Arnab Mondal
,
Siba Smarak Panigrahi
,
Siamak Ravanbakhsh
,
Sai Rajeswar Mudumba
International Conference of Learning Representations (ICLR), 2024.
Article
Citation
IntentGPT: Few-shot Intent Discovery with Large Language Models
In today’s digitally driven world, dialogue systems play a pivotal role in enhancing user interactions, from customer service to …
Juan A. Rodriguez
,
Nicholas Botzer
,
David Vazquez
,
Christopher Pal
,
Marco Pedersoli
,
Issam H. Laradji
Workshop at the International Conference of Learning Representation (ICLR), 2024.
Article
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
,
David Vazquez
,
Nicolas Chapados
,
Alexandre Lacoste
Workshop at the International Conference of Learning Representation (ICLR), 2024.
Article
Citation
Code
Vidéo
Workflow discovery in low data regimes
Text-based dialogues are now widely used to solve real-world problems. In cases where solution strategies are already known, they can …
Amine El Hattami
,
Issam H. Laradji
,
Stefania Raimondo
,
David Vazquez
,
Pau Rodriguez
,
Christopher Pal
International Conference of Learning Representations (ICLR), 2024.
Article
Citation
Code
3rd Continual Learning Workshop Challenge on Egocentric Category and Instance Level Object Understanding
Continual Learning, also known as Lifelong or Incremental Learning, has recently gained renewed interest among the Artificial …
Lorenzo Pellegrini
,
Chenchen Zhu
,
Fanyi Xiao
,
Zhicheng Yan
,
Antonio Carta
,
Matthias De Lange
,
Vincenzo Lomonaco
,
Roshan Sumbaly
,
Pau Rodriguez
,
David Vazquez
ArXiv, 2024.
Article
Citation
InCoRo: In-Context Learning for Robotics Control with Feedback Loops
One of the challenges in robotics is to enable robotic units with the reasoning capability that would be robust enough to execute …
Jiaquiang Ye Zhu
,
Carla Gomez
,
David Vazquez
,
Michal Drozdzal
ArXiv, 2024.
Article
Citation
LitLLM: A Toolkit for Scientific Literature Review
Literature reviews are an essential component of scientific research. We explore the zero-shot abilities of recent large language …
Shubham Agarwal
,
Abhay Puri
,
Issam H. Laradji
,
Laurent Charlin
,
Christopher Pal
ArXiv, 2024.
Article
Citation
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NNetscape Navigator: Complex Demonstrations for Web Agents Without a Demonstrator
We introduce NNetscape Navigator (NNetnav), a method for training web agents entirely through synthetic demonstrations. These …
Shikhar Murty
,
Hao Zhu
,
Dzmitry Bahdanau
,
Chris Manning
ArXiv, 2024.
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