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05/29/2023
E-NER: Evidential Deep Learning for Trustworthy Named Entity Recognition
Most named entity recognition (NER) systems focus on improving model per...
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04/05/2023
Document-Level Machine Translation with Large Language Models
Large language models (LLMs) such as Chat-GPT can produce coherent, cohe...
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03/23/2023
Fairness-guided Few-shot Prompting for Large Language Models
Large language models have demonstrated surprising ability to perform in...
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02/23/2023
Federated Nearest Neighbor Machine Translation
To protect user privacy and meet legal regulations, federated learning (...
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02/23/2023
Simple and Scalable Nearest Neighbor Machine Translation
kNN-MT is a straightforward yet powerful approach for fast domain adapta...
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02/06/2023
Less is More: Understanding Word-level Textual Adversarial Attack via n-gram Frequency Descend
Word-level textual adversarial attacks have achieved striking performanc...
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12/05/2022
Improving Few-Shot Performance of Language Models via Nearest Neighbor Calibration
Pre-trained language models (PLMs) have exhibited remarkable few-shot le...
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05/23/2022
Non-Parametric Domain Adaptation for End-to-End Speech Translation
End-to-End Speech Translation (E2E-ST) has received increasing attention...
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03/25/2022
Automatic Song Translation for Tonal Languages
This paper develops automatic song translation (AST) for tonal languages...
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12/21/2021
Regularizing End-to-End Speech Translation with Triangular Decomposition Agreement
End-to-end speech-to-text translation (E2E-ST) is becoming increasingly ...
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09/23/2021
Non-Parametric Online Learning from Human Feedback for Neural Machine Translation
We study the problem of online learning with human feedback in the human...
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09/14/2021
Non-Parametric Unsupervised Domain Adaptation for Neural Machine Translation
Recently, kNN-MT has shown the promising capability of directly incorpor...
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09/10/2021
Rethinking Zero-shot Neural Machine Translation: From a Perspective of Latent Variables
Zero-shot translation, directly translating between language pairs unsee...
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08/31/2021
Task-Oriented Dialogue System as Natural Language Generation
In this paper, we propose to formulate the task-oriented dialogue system...
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05/27/2021
Adaptive Nearest Neighbor Machine Translation
kNN-MT, recently proposed by Khandelwal et al. (2020a), successfully com...
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04/16/2021
Towards Variable-Length Textual Adversarial Attacks
Adversarial attacks have shown the vulnerability of machine learning mod...
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10/13/2020
Incorporating BERT into Parallel Sequence Decoding with Adapters
While large scale pre-trained language models such as BERT have achieved...
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10/06/2020
Iterative Domain-Repaired Back-Translation
In this paper, we focus on the domain-specific translation with low reso...
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12/03/2019
Cross-lingual Pre-training Based Transfer for Zero-shot Neural Machine Translation
Transfer learning between different language pairs has shown its effecti...
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06/02/2019
Budgeted Policy Learning for Task-Oriented Dialogue Systems
This paper presents a new approach that extends Deep Dyna-Q (DDQ) by inc...
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01/14/2019
Unsupervised Neural Machine Translation with SMT as Posterior Regularization
Without real bilingual corpus available, unsupervised Neural Machine Tra...
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08/24/2018
Approximate Distribution Matching for Sequence-to-Sequence Learning
Sequence-to-Sequence models were introduced to tackle many real-life pro...
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08/23/2018
Style Transfer as Unsupervised Machine Translation
Language style transferring rephrases text with specific stylistic attri...
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08/13/2018
Regularizing Neural Machine Translation by Target-bidirectional Agreement
Although Neural Machine Translation (NMT) has achieved remarkable progre...
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03/15/2018
Achieving Human Parity on Automatic Chinese to English News Translation
Machine translation has made rapid advances in recent years. Millions of...
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03/01/2018
Joint Training for Neural Machine Translation Models with Monolingual Data
Monolingual data have been demonstrated to be helpful in improving trans...
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06/28/2017
