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