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20182023
most citedVariational Transformers for Diverse Response Generation

46 citations · 173 across the 22 of their papers we have counts for

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Showing 2020Show all

5 papers · 1 filter

cs.CL2020★ 12 cited

MEGATRON-CNTRL: Controllable Story Generation with External Knowledge Using Large-Scale Language Models

Peng Xu, Mostofa Patwary, Mohammad Shoeybi +4

Existing pre-trained large language models have shown unparalleled generative capabilities. However, they are not controllable. In this paper, we propose MEGATRON-CNTRL, a novel fr…

cs.CL2020

Meta-Transfer Learning for Code-Switched Speech Recognition

Genta Indra Winata, Samuel Cahyawijaya, Zhaojiang Lin +3

An increasing number of people in the world today speak a mixed-language as a result of being multilingual. However, building a speech recognition system for code-switching remains…

cs.CL2020★ 13 cited

Coach: A Coarse-to-Fine Approach for Cross-domain Slot Filling

Zihan Liu, Genta Indra Winata, Peng Xu +1

As an essential task in task-oriented dialog systems, slot filling requires extensive training data in a certain domain. However, such data are not always available. Hence, cross-d…

cs.CL2020★ 46 cited

Variational Transformers for Diverse Response Generation

Zhaojiang Lin, Genta Indra Winata, Peng Xu +2

Despite the great promise of Transformers in many sequence modeling tasks (e.g., machine translation), their deterministic nature hinders them from generalizing to high entropy tas…

eess.AS2020★ 2 cited

Learning Fast Adaptation on Cross-Accented Speech Recognition

Genta Indra Winata, Samuel Cahyawijaya, Zihan Liu +4

Local dialects influence people to pronounce words of the same language differently from each other. The great variability and complex characteristics of accents creates a major ch…