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06/02/2023
Resolving Interference When Merging Models
Transfer learning - i.e., further fine-tuning a pre-trained model on a d...
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11/15/2022
Evaluating the Factual Consistency of Large Language Models Through Summarization
While large language models (LLMs) have proven to be effective on a larg...
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05/11/2022
Few-Shot Parameter-Efficient Fine-Tuning is Better and Cheaper than In-Context Learning
Few-shot in-context learning (ICL) enables pre-trained language models t...
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12/16/2021
Prosody-Aware Neural Machine Translation for Dubbing
We introduce the task of prosody-aware machine translation which aims at...
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06/14/2021
An Empirical Survey of Data Augmentation for Limited Data Learning in NLP
NLP has achieved great progress in the past decade through the use of ne...
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03/22/2021
Improving and Simplifying Pattern Exploiting Training
Recently, pre-trained language models (LMs) have achieved strong perform...
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07/23/2019