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06/14/2023
Knowledge Distillation of Large Language Models
Knowledge Distillation (KD) is a promising technique for reducing the hi...
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05/16/2023
Pre-Training to Learn in Context
In-context learning, where pre-trained language models learn to perform ...
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12/13/2022
Structured Prompting: Scaling In-Context Learning to 1,000 Examples
Large language models have exhibited intriguing in-context learning capa...
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10/17/2022
Learning Instructions with Unlabeled Data for Zero-Shot Cross-Task Generalization
Training language models to learn from human instructions for zero-shot ...
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05/23/2022
Many-Class Text Classification with Matching
In this work, we formulate Text Classification as a Matching problem bet...
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03/17/2022
EVA2.0: Investigating Open-Domain Chinese Dialogue Systems with Large-Scale Pre-Training
Large-scale pre-training has shown remarkable performance in building op...
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09/09/2021
PPT: Pre-trained Prompt Tuning for Few-shot Learning
Prompts for pre-trained language models (PLMs) have shown remarkable per...
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08/03/2021
EVA: An Open-Domain Chinese Dialogue System with Large-Scale Generative Pre-Training
Although pre-trained language models have remarkably enhanced the genera...
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12/01/2020
CPM: A Large-scale Generative Chinese Pre-trained Language Model
Pre-trained Language Models (PLMs) have proven to be beneficial for vari...
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04/21/2020
Train No Evil: Selective Masking for Task-guided Pre-training
Recently, pre-trained language models mostly follow the pre-training-the...
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08/30/2019
