Publications (16)
Real-Time Prediction of the Duration of Distribution System Outages
Aaron Jaech, Baosen Zhang, Mari Ostendorf +1
This paper addresses the problem of predicting duration of unplanned power outages, using historical outage records to train a series of neural network predictors. The initial dura…
OpenAI o1 System Card
OpenAI, :, Aaron Jaech +261
The o1 model series is trained with large-scale reinforcement learning to reason using chain of thought. These advanced reasoning capabilities provide new avenues for improving the…
Domain Adaptation of Recurrent Neural Networks for Natural Language Understanding
Aaron Jaech, Larry Heck, Mari Ostendorf
The goal of this paper is to use multi-task learning to efficiently scale slot filling models for natural language understanding to handle multiple target tasks or domains. The key…
Personalized Language Model for Query Auto-Completion
Aaron Jaech, Mari Ostendorf
Query auto-completion is a search engine feature whereby the system suggests completed queries as the user types. Recently, the use of a recurrent neural network language model was…
Low-Rank RNN Adaptation for Context-Aware Language Modeling
Aaron Jaech, Mari Ostendorf
A context-aware language model uses location, user and/or domain metadata (context) to adapt its predictions. In neural language models, context information is typically represente…
Improving Context Aware Language Models
Aaron Jaech, Mari Ostendorf
Increased adaptability of RNN language models leads to improved predictions that benefit many applications. However, current methods do not take full advantage of the RNN structure…