3 citations · 5 across the 5 of their papers we have counts for
5 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…
Multi-step Inference over Unstructured Data
Aditya Kalyanpur, Kailash Karthik Saravanakumar, Victor Barres +8
The advent of Large Language Models (LLMs) and Generative AI has revolutionized natural language applications across various domains. However, high-stakes decision-making tasks in…
LLM-ARC: Enhancing LLMs with an Automated Reasoning Critic
Aditya Kalyanpur, Kailash Karthik Saravanakumar, Victor Barres +3
We introduce LLM-ARC, a neuro-symbolic framework designed to enhance the logical reasoning capabilities of Large Language Models (LLMs), by combining them with an Automated Reasoni…
Event-Driven News Stream Clustering using Entity-Aware Contextual Embeddings
Kailash Karthik Saravanakumar, Miguel Ballesteros, Muthu Kumar Chandrasekaran +1
We propose a method for online news stream clustering that is a variant of the non-parametric streaming K-means algorithm. Our model uses a combination of sparse and dense document…
Multi-Modal Emotion Detection with Transfer Learning
Amith Ananthram, Kailash Karthik Saravanakumar, Jessica Huynh +1
Automated emotion detection in speech is a challenging task due to the complex interdependence between words and the manner in which they are spoken. It is made more difficult by t…