Ruoming Pang
Overall lead of Apple's 2024 foundation language models and corresponding author of AXLearn; now at Meta
- Listed with Meta Platforms on the ScaleAcross Explorer paper (May 2026); GitHub profile lists Meta, Meta12
Ruoming Pang's GitHub profile lists Meta as Pang's organization, and Pang is listed with Meta Platforms on a May 2026 paper about communication optimization for large-scale model training across data centers. At Apple, Pang was the overall lead of the foundation models contributors on the 2024 Apple Intelligence Foundation Language Models report, which describes an on-device model of about 3 billion parameters and a larger server model, and is the corresponding author of the paper on AXLearn, Apple's open-source system for modular, hardware-agnostic training of large models. Earlier, Pang was listed with Google Inc. as an author of the 2020 Conformer paper on convolution-augmented Transformers for speech recognition.12347
Work
AXLearn (external site: github.com)Open-source code
Corresponding author of the AXLearn paper, which describes Apple's production system for scalable, modular, hardware-agnostic training of large deep learning models; the apple/axlearn repository is released under the Apache 2.0 license.45
Apple Intelligence Foundation Language Models (external site: arxiv.org)Proprietary product
Listed as overall lead among the foundation models contributors of Apple's 2024 report on the language models behind Apple Intelligence.3
Conformer: Convolution-augmented Transformer for Speech Recognition (external site: arxiv.org)Published research
Co-author of the 2020 Conformer paper, listed with Google Inc.7
Other documented roles
Roles the sources document but that are not confirmed as current.
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