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Found 5 papers, 2 papers with code
WeChat Neural Machine Translation Systems for WMT21
This paper introduces WeChat AI's participation in WMT 2021 shared news translation task on English->Chinese, English->Japanese, Japanese->English and English->German.
Learning to Recover from Multi-Modality Errors for Non-Autoregressive Neural Machine Translation
By dynamically determining segment length and deleting repetitive segments, RecoverSAT is capable of recovering from repetitive and missing token errors.
Guiding Non-Autoregressive Neural Machine Translation Decoding with Reordering Information
Non-autoregressive neural machine translation (NAT) generates each target word in parallel and has achieved promising inference acceleration.
NumNet: Machine Reading Comprehension with Numerical Reasoning
Numerical reasoning, such as addition, subtraction, sorting and counting is a critical skill in human's reading comprehension, which has not been well considered in existing machine reading comprehension (MRC) systems.
Ranked #10 on
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on DROP Test
Option Comparison Network for Multiple-choice Reading Comprehension
However, humans typically compare the options at multiple-granularity level before reading the article in detail to make reasoning more efficient.
Ranked #2 on
Question Answering
on RACE
