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09/19/2023
FoleyGen: Visually-Guided Audio Generation
Recent advancements in audio generation have been spurred by the evoluti...
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09/15/2023
Stack-and-Delay: a new codebook pattern for music generation
In language modeling based music generation, a generated waveform is rep...
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07/01/2023
Low-Resource Cross-Lingual Adaptive Training for Nigerian Pidgin
Developing effective spoken language processing systems for low-resource...
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07/01/2023
Revisiting Sample Size Determination in Natural Language Understanding
Knowing exactly how many data points need to be labeled to achieve a cer...
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05/29/2023
LLM-QAT: Data-Free Quantization Aware Training for Large Language Models
Several post-training quantization methods have been applied to large la...
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08/27/2022
MDIA: A Benchmark for Multilingual Dialogue Generation in 46 Languages
Owing to the lack of corpora for low-resource languages, current works o...
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08/14/2021
The SelectGen Challenge: Finding the Best Training Samples for Few-Shot Neural Text Generation
We propose a shared task on training instance selection for few-shot neu...
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07/07/2021
Time-Aware Ancient Chinese Text Translation and Inference
In this paper, we aim to address the challenges surrounding the translat...
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07/07/2021
On Training Instance Selection for Few-Shot Neural Text Generation
Large-scale pretrained language models have led to dramatic improvements...
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02/06/2021
Neural Data-to-Text Generation with LM-based Text Augmentation
For many new application domains for data-to-text generation, the main o...
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02/06/2021
Does the Order of Training Samples Matter? Improving Neural Data-to-Text Generation with Curriculum Learning
Recent advancements in data-to-text generation largely take on the form ...
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02/06/2021
Jointly Improving Language Understanding and Generation with Quality-Weighted Weak Supervision of Automatic Labeling
Neural natural language generation (NLG) and understanding (NLU) models ...
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10/21/2020
Safe Handover in Mixed-Initiative Control for Cyber-Physical Systems
For mixed-initiative control between cyber-physical systems (CPS) and it...
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10/08/2020
DART: A Lightweight Quality-Suggestive Data-to-Text Annotation Tool
We present a lightweight annotation tool, the Data AnnotatoR Tool (DART)...
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05/03/2020
Neural Data-to-Text Generation via Jointly Learning the Segmentation and Correspondence
The neural attention model has achieved great success in data-to-text ge...
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03/18/2020
Unsupervised Pidgin Text Generation By Pivoting English Data and Self-Training
West African Pidgin English is a language that is significantly spoken i...
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03/16/2017
