65 citations · 69 across the 5 of their papers we have counts for
7 papers
Tracing the Representation Geometry of Language Models from Pretraining to Post-training
Melody Zixuan Li, Kumar Krishna Agrawal, Arna Ghosh +4
Standard training metrics like loss fail to explain the emergence of complex capabilities in large language models. We take a spectral approach to investigate the geometry of learn…
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…
Semi-supervised Relation Extraction via Data Augmentation and Consistency-training
Komal K. Teru
Due to the semantic complexity of the Relation extraction (RE) task, obtaining high-quality human labelled data is an expensive and noisy process. To improve the sample efficiency…
Exploring the Limits of Few-Shot Link Prediction in Knowledge Graphs
Dora Jambor, Komal Teru, Joelle Pineau +1
Real-world knowledge graphs are often characterized by low-frequency relations - a challenge that has prompted an increasing interest in few-shot link prediction methods. These met…
Off-Policy Policy Gradient Algorithms by Constraining the State Distribution Shift
Riashat Islam, Komal K. Teru, Deepak Sharma +1
Off-policy deep reinforcement learning (RL) algorithms are incapable of learning solely from batch offline data without online interactions with the environment, due to the phenome…
Towards Reducing Bias in Gender Classification
Komal K. Teru, Aishik Chakraborty
Societal bias towards certain communities is a big problem that affects a lot of machine learning systems. This work aims at addressing the racial bias present in many modern gende…
Inductive Relation Prediction by Subgraph Reasoning
Komal K. Teru, Etienne Denis, William L. Hamilton
The dominant paradigm for relation prediction in knowledge graphs involves learning and operating on latent representations (i.e., embeddings) of entities and relations. However, t…