Papers with Transformer-based pre-trained
KroneckerBERT: Significant Compression of Pre-trained Language Models Through Kronecker Decomposition and Knowledge Distillation (2022.naacl-main)
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| Challenge: | a recent study shows that over-parameterized pre-trained language models are unsuitable for low-capacity devices. |
| Approach: | They propose a transformer-based pre-trained language model that is overparameterized . they use a two-stage knowledge distillation scheme to train the model . |
| Outcome: | The proposed model outperforms state-of-the-art models on well-known NLP benchmarks. |
SideControl: Controlled Open-domain Dialogue Generation via Additive Side Networks (2021.findings-emnlp)
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| Challenge: | Existing methods to generate pre-trained language models with attributes are expensive and overfitted on small training sets. |
| Approach: | They propose a novel approach to control the generation of Transformer-based pre-trained language models using a new control attributes loss framework. |
| Outcome: | The proposed method is shown to perform well with very limited training samples. |
AMAL: Meta Knowledge-Driven Few-Shot Adapter Learning (2022.emnlp-main)
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| Challenge: | Existing methods for fine-tuning pre-trained language models fail to yield meaningful results in the few-shot regime. |
| Approach: | They propose a meta-learning-driven low-rank adapter pooling method for leveraging pre-trained language models even with just a few data points. |
| Outcome: | The proposed method outperforms previous few-shot learning methods on five text classification benchmark datasets. |
Transformer-Based Temporal Information Extraction and Application: A Review (2025.emnlp-main)
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| Challenge: | Temporal information extraction (IE) aims to extract structured temporal information from unstructured text, thereby uncovering the implicit timelines within. |
| Approach: | They summarize and analyze the work using Transformers to highlight potential future directions. |
| Outcome: | The proposed method is applied across healthcare, newswire, and intelligence analysis domains. |