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researcher

David Venuto

Mila

2 papers hereh-index 6139 citations10 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author1

Across the 1 of 2 papers where every author was matched, so the position is known.

fields
  • cs.AI1
  • cs.CL1
affiliations
  • Mila
  • McGill University

identity via Semantic Scholar / OpenAlex

collaborators

2 papers

cs.AI2025

Cracking the Code of Action: a Generative Approach to Affordances for Reinforcement Learning

Lynn Cherif, Flemming Kondrup, David Venuto +3

Agents that can autonomously navigate the web through a graphical user interface (GUI) using a unified action space (e.g., mouse and keyboard actions) can require very large amount…

cs.CL2025

Command A: An Enterprise-Ready Large Language Model

Team Cohere, :, Aakanksha +227

In this report we describe the development of Command A, a powerful large language model purpose-built to excel at real-world enterprise use cases. Command A is an agent-optimised…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.