research
∙
11/09/2022
Large Language Models with Controllable Working Memory
Large language models (LLMs) have led to a series of breakthroughs in na...
share
research
∙
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...
research
∙
10/12/2022
Large Models are Parsimonious Learners: Activation Sparsity in Trained Transformers
This paper studies the curious phenomenon for machine learning models wi...
research
∙
03/26/2021
Understanding Robustness of Transformers for Image Classification
Deep Convolutional Neural Networks (CNNs) have long been the architectur...
research
∙
12/01/2020
Modifying Memories in Transformer Models
Large Transformer models have achieved impressive performance in many na...
research
∙
10/08/2019
