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08/30/2023
MerA: Merging Pretrained Adapters For Few-Shot Learning
Adapter tuning, which updates only a few parameters, has become a mainst...
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03/24/2023
Error Analysis Prompting Enables Human-Like Translation Evaluation in Large Language Models: A Case Study on ChatGPT
Generative large language models (LLMs), e.g., ChatGPT, have demonstrate...
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02/19/2023
Can ChatGPT Understand Too? A Comparative Study on ChatGPT and Fine-tuned BERT
Recently, ChatGPT has attracted great attention, as it can generate flue...
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09/20/2022
Vega-MT: The JD Explore Academy Translation System for WMT22
We describe the JD Explore Academy's submission of the WMT 2022 shared g...
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08/22/2022
PANDA: Prompt Transfer Meets Knowledge Distillation for Efficient Model Adaptation
Prompt-tuning, which freezes pretrained language models (PLMs) and only ...
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05/30/2022
E2S2: Encoding-Enhanced Sequence-to-Sequence Pretraining for Language Understanding and Generation
Sequence-to-sequence (seq2seq) learning has become a popular trend for p...
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04/16/2022
Bridging Cross-Lingual Gaps During Leveraging the Multilingual Sequence-to-Sequence Pretraining for Text Generation
For multilingual sequence-to-sequence pretrained language models (multil...
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03/08/2022
