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08/07/2023
RecycleGPT: An Autoregressive Language Model with Recyclable Module
Existing large language models have to run K times to generate a sequenc...
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06/13/2023
Soft Language Clustering for Multilingual Model Pre-training
Multilingual pre-trained language models have demonstrated impressive (z...
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12/14/2022
DialogQAE: N-to-N Question Answer Pair Extraction from Customer Service Chatlog
Harvesting question-answer (QA) pairs from customer service chatlog in t...
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11/15/2022
DualNER: A Dual-Teaching framework for Zero-shot Cross-lingual Named Entity Recognition
We present DualNER, a simple and effective framework to make full use of...
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11/07/2022
Contrastive Learning with Prompt-derived Virtual Semantic Prototypes for Unsupervised Sentence Embedding
Contrastive learning has become a new paradigm for unsupervised sentence...
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08/24/2022
Modeling Paragraph-Level Vision-Language Semantic Alignment for Multi-Modal Summarization
Most current multi-modal summarization methods follow a cascaded manner,...
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08/17/2022
An Efficient Coarse-to-Fine Facet-Aware Unsupervised Summarization Framework based on Semantic Blocks
Unsupervised summarization methods have achieved remarkable results by i...
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03/22/2022
Task-guided Disentangled Tuning for Pretrained Language Models
Pretrained language models (PLMs) trained on large-scale unlabeled corpu...
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11/30/2020
Dynamic Curriculum Learning for Low-Resource Neural Machine Translation
Large amounts of data has made neural machine translation (NMT) a big su...
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11/06/2020
Improving Machine Reading Comprehension with Single-choice Decision and Transfer Learning
Multi-choice Machine Reading Comprehension (MMRC) aims to select the cor...
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10/08/2020
Shallow-to-Deep Training for Neural Machine Translation
Deep encoders have been proven to be effective in improving neural machi...
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05/07/2020
Does Multi-Encoder Help? A Case Study on Context-Aware Neural Machine Translation
In encoder-decoder neural models, multiple encoders are in general used ...
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05/06/2020
