3 citations · 4 across the 3 of their papers we have counts for
3 papers
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…
cs.CL2024★ 3 cited
To Code, or Not To Code? Exploring Impact of Code in Pre-training
Viraat Aryabumi, Yixuan Su, Raymond Ma +6
Including code in the pre-training data mixture, even for models not specifically designed for code, has become a common practice in LLMs pre-training. While there has been anecdot…
cs.CL2023★ 1 cited
Specialist or Generalist? Instruction Tuning for Specific NLP Tasks
Chufan Shi, Yixuan Su, Cheng Yang +2
The potential of large language models (LLMs) to simultaneously perform a wide range of natural language processing (NLP) tasks has been the subject of extensive research. Although…