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09/09/2023
EPA: Easy Prompt Augmentation on Large Language Models via Multiple Sources and Multiple Targets
Large language models (LLMs) have shown promising performance on various...
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05/24/2023
Not All Metrics Are Guilty: Improving NLG Evaluation with LLM Paraphrasing
Most research about natural language generation (NLG) relies on evaluati...
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05/17/2023
Chain-of-Symbol Prompting Elicits Planning in Large Langauge Models
In this paper, we take the initiative to investigate the performance of ...
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05/11/2023
Chain-of-Dictionary Prompting Elicits Translation in Large Language Models
Large language models (LLMs) have shown surprisingly good performance in...
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12/15/2022
TRIP: Triangular Document-level Pre-training for Multilingual Language Models
Despite the current success of multilingual pre-training, most prior wor...
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09/28/2022
Multilingual Transitivity and Bidirectional Multilingual Agreement for Multilingual Document-level Machine Translation
Multilingual machine translation has been proven an effective strategy t...
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08/17/2022
PCC: Paraphrasing with Bottom-k Sampling and Cyclic Learning for Curriculum Data Augmentation
Curriculum Data Augmentation (CDA) improves neural models by presenting ...
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11/27/2021
