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02/03/2023
ResMem: Learn what you can and memorize the rest
The impressive generalization performance of modern neural networks is a...
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11/09/2022
Large Language Models with Controllable Working Memory
Large language models (LLMs) have led to a series of breakthroughs in na...
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11/01/2022
Preserving In-Context Learning ability in Large Language Model Fine-tuning
Pretrained large language models (LLMs) are strong in-context learners t...
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07/08/2022
XR Hackathon Going Online: Lessons Learned from a Case Study with Goethe-Institut
In this article we report a case study of a Language and Culture-oriente...
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06/13/2022
Robust Distillation for Worst-class Performance
Knowledge distillation has proven to be an effective technique in improv...
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06/19/2021
Teacher's pet: understanding and mitigating biases in distillation
Knowledge distillation is widely used as a means of improving the perfor...
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07/03/2020
Scaling Graph Neural Networks with Approximate PageRank
Graph neural networks (GNNs) have emerged as a powerful approach for sol...
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04/30/2020
Text Segmentation by Cross Segment Attention
Document and discourse segmentation are two fundamental NLP tasks pertai...
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03/05/2020
Does label smoothing mitigate label noise?
Label smoothing is commonly used in training deep learning models, where...
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12/06/2017
Discourse-Aware Rumour Stance Classification in Social Media Using Sequential Classifiers
Rumour stance classification, defined as classifying the stance of speci...
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09/07/2016
