23 citations · 27 across the 7 of their papers we have counts for
7 papers
Improving Training Efficiency and Reducing Maintenance Costs via Language Specific Model Merging
Alphaeus Dmonte, Vidhi Gupta, Daniel J Perry +1
Fine-tuning a task-specific multilingual large language model (LLM) involves training the model on a multilingual dataset with examples in all the required languages. Updating one…
Effective Proxy for Human Labeling: Ensemble Disagreement Scores in Large Language Models for Industrial NLP
Wei Du, Laksh Advani, Yashmeet Gambhir +4
Large language models (LLMs) have demonstrated significant capability to generalize across a large number of NLP tasks. For industry applications, it is imperative to assess the pe…
Compressing Cross-Lingual Multi-Task Models at Qualtrics
Daniel Campos, Daniel Perry, Samir Joshi +4
Experience management is an emerging business area where organizations focus on understanding the feedback of customers and employees in order to improve their end-to-end experienc…
Visualization of topology optimization designs with representative subset selection
Daniel J Perry, Vahid Keshavarzzadeh, Shireen Y Elhabian +3
An important new trend in additive manufacturing is the use of optimization to automatically design industrial objects, such as beams, rudders or wings. Topology optimization, as i…
Optimal Subarchitecture Extraction For BERT
Adrian de Wynter, Daniel J. Perry
We extract an optimal subset of architectural parameters for the BERT architecture from Devlin et al. (2018) by applying recent breakthroughs in algorithms for neural architecture…
Allocation strategies for high fidelity models in the multifidelity regime
Daniel J. Perry, Robert M. Kirby, Akil Narayan +1
We propose a novel approach to allocating resources for expensive simulations of high fidelity models when used in a multifidelity framework. Allocation decisions that distribute c…