1 citations · 1 across the 4 of their papers we have counts for
4 papers
Counsel: A Meta-Evaluation Dataset for Agentic Tasks
Sashank Pisupati, Henry Broomfield, Eujeong Choi +5
As agentic systems tackle increasingly complex multi-step tasks, evaluating their trajectories presents a major bottleneck - human annotation of a single trajectory on popular agen…
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…
From One to Many: Expanding the Scope of Toxicity Mitigation in Language Models
Luiza Pozzobon, Patrick Lewis, Sara Hooker +1
To date, toxicity mitigation in language models has almost entirely been focused on single-language settings. As language models embrace multilingual capabilities, it's crucial our…
Goodtriever: Adaptive Toxicity Mitigation with Retrieval-augmented Models
Luiza Pozzobon, Beyza Ermis, Patrick Lewis +1
Considerable effort has been dedicated to mitigating toxicity, but existing methods often require drastic modifications to model parameters or the use of computationally intensive…