1 citations · 2 across the 4 of their papers we have counts for
4 papers
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…
ALR: A Retrieve-then-Reason Framework for Long-context Question Answering
Huayang Li, Pat Verga, Priyanka Sen +5
The context window of large language models (LLMs) has been extended significantly in recent years. However, while the context length that the LLM can process has grown, the capabi…
FLARE: Faithful Logic-Aided Reasoning and Exploration
Erik Arakelyan, Pasquale Minervini, Pat Verga +2
Modern Question Answering (QA) and Reasoning approaches based on Large Language Models (LLMs) commonly use prompting techniques, such as Chain-of-Thought (CoT), assuming the result…
Multilingual Arbitrage: Optimizing Data Pools to Accelerate Multilingual Progress
Ayomide Odumakinde, Daniel D'souza, Pat Verga +2
The use of synthetic data has played a critical role in recent state-of-art breakthroughs. However, overly relying on a single oracle teacher model to generate data has been shown…