3 papers
cs.AI2025
A*-Decoding: Token-Efficient Inference Scaling
Giannis Chatziveroglou
Inference-time scaling has emerged as a powerful alternative to parameter scaling for improving language model performance on complex reasoning tasks. While existing methods have s…
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.AI2025
Exploring LLM Reasoning Through Controlled Prompt Variations
Giannis Chatziveroglou, Richard Yun, Maura Kelleher
This study investigates the reasoning robustness of large language models (LLMs) on mathematical problem-solving tasks under systematically introduced input perturbations. Using th…