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05/19/2023
Controlling the Extraction of Memorized Data from Large Language Models via Prompt-Tuning
Large Language Models (LLMs) are known to memorize significant portions ...
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01/24/2023
Low-Resource Compositional Semantic Parsing with Concept Pretraining
Semantic parsing plays a key role in digital voice assistants such as Al...
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08/02/2022
AlexaTM 20B: Few-Shot Learning Using a Large-Scale Multilingual Seq2Seq Model
In this work, we demonstrate that multilingual large-scale sequence-to-s...
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06/15/2022
Alexa Teacher Model: Pretraining and Distilling Multi-Billion-Parameter Encoders for Natural Language Understanding Systems
We present results from a large-scale experiment on pretraining encoders...
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03/05/2022
Unfreeze with Care: Space-Efficient Fine-Tuning of Semantic Parsing Models
Semantic parsing is a key NLP task that maps natural language to structu...
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02/02/2022
RescoreBERT: Discriminative Speech Recognition Rescoring with BERT
Second-pass rescoring is an important component in automatic speech reco...
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07/08/2021
Output Randomization: A Novel Defense for both White-box and Black-box Adversarial Models
Adversarial examples pose a threat to deep neural network models in a va...
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12/07/2020
Using multiple ASR hypotheses to boost i18n NLU performance
Current voice assistants typically use the best hypothesis yielded by th...
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10/10/2020
Compressing Transformer-Based Semantic Parsing Models using Compositional Code Embeddings
The current state-of-the-art task-oriented semantic parsing models use B...
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10/08/2020
Don't Parse, Insert: Multilingual Semantic Parsing with Insertion Based Decoding
Semantic parsing is one of the key components of natural language unders...
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11/15/2019
Optimal Mini-Batch Size Selection for Fast Gradient Descent
This paper presents a methodology for selecting the mini-batch size that...
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05/23/2019
Deep density ratio estimation for change point detection
In this work, we propose new objective functions to train deep neural ne...
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05/23/2019
Thwarting finite difference adversarial attacks with output randomization
Adversarial examples pose a threat to deep neural network models in a va...
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04/09/2019
Short Paper: Creating Adversarial Malware Examples using Code Insertion
There has been an increased interest in the application of convolutional...
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05/29/2018