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08/24/2023
Improving Translation Faithfulness of Large Language Models via Augmenting Instructions
Large Language Models (LLMs) present strong general capabilities, and a ...
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08/23/2023
Instruction Position Matters in Sequence Generation with Large Language Models
Large language models (LLMs) are capable of performing conditional seque...
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08/06/2023
Towards Multiple References Era – Addressing Data Leakage and Limited Reference Diversity in NLG Evaluation
N-gram matching-based evaluation metrics, such as BLEU and chrF, are wid...
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05/04/2023
BranchNorm: Robustly Scaling Extremely Deep Transformers
Recently, DeepNorm scales Transformers into extremely deep (i.e., 1000 l...
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03/07/2022
Towards Robust Online Dialogue Response Generation
Although pre-trained sequence-to-sequence models have achieved great suc...
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03/06/2022
Conditional Bilingual Mutual Information Based Adaptive Training for Neural Machine Translation
Token-level adaptive training approaches can alleviate the token imbalan...
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08/30/2021
Scheduled Sampling Based on Decoding Steps for Neural Machine Translation
Scheduled sampling is widely used to mitigate the exposure bias problem ...
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08/05/2021
WeChat Neural Machine Translation Systems for WMT21
This paper introduces WeChat AI's participation in WMT 2021 shared news ...
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07/22/2021
Confidence-Aware Scheduled Sampling for Neural Machine Translation
Scheduled sampling is an effective method to alleviate the exposure bias...
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05/26/2021
Bilingual Mutual Information Based Adaptive Training for Neural Machine Translation
Recently, token-level adaptive training has achieved promising improveme...
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05/24/2021
Prevent the Language Model from being Overconfident in Neural Machine Translation
The Neural Machine Translation (NMT) model is essentially a joint langua...
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10/01/2020
WeChat Neural Machine Translation Systems for WMT20
We participate in the WMT 2020 shared news translation task on Chinese t...
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04/27/2020
Explicitly Modeling Adaptive Depths for Transformer
The vanilla Transformer conducts a fixed number of computations over all...
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02/29/2020
Depth-Adaptive Graph Recurrent Network for Text Classification
The Sentence-State LSTM (S-LSTM) is a powerful and high efficient graph ...
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09/16/2019
CM-Net: A Novel Collaborative Memory Network for Spoken Language Understanding
Spoken Language Understanding (SLU) mainly involves two tasks, intent de...
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06/06/2019
