Explainable ai: A review of machine learning interpretability methods
Recent advances in artificial intelligence (AI) have led to its widespread industrial adoption,
with machine learning systems demonstrating superhuman performance in a significant …
with machine learning systems demonstrating superhuman performance in a significant …
A survey of adversarial defenses and robustness in nlp
In the past few years, it has become increasingly evident that deep neural networks are not
resilient enough to withstand adversarial perturbations in input data, leaving them …
resilient enough to withstand adversarial perturbations in input data, leaving them …
Can large language models be an alternative to human evaluations?
Human evaluation is indispensable and inevitable for assessing the quality of texts
generated by machine learning models or written by humans. However, human evaluation is …
generated by machine learning models or written by humans. However, human evaluation is …
Explainability for large language models: A survey
Large language models (LLMs) have demonstrated impressive capabilities in natural
language processing. However, their internal mechanisms are still unclear and this lack of …
language processing. However, their internal mechanisms are still unclear and this lack of …
Auditing large language models: a three-layered approach
Large language models (LLMs) represent a major advance in artificial intelligence (AI)
research. However, the widespread use of LLMs is also coupled with significant ethical and …
research. However, the widespread use of LLMs is also coupled with significant ethical and …
On the opportunities and risks of foundation models
AI is undergoing a paradigm shift with the rise of models (eg, BERT, DALL-E, GPT-3) that are
trained on broad data at scale and are adaptable to a wide range of downstream tasks. We …
trained on broad data at scale and are adaptable to a wide range of downstream tasks. We …
A survey on text classification: From traditional to deep learning
Text classification is the most fundamental and essential task in natural language
processing. The last decade has seen a surge of research in this area due to the …
processing. The last decade has seen a surge of research in this area due to the …
Sneakyprompt: Jailbreaking text-to-image generative models
Text-to-image generative models such as Stable Diffusion and DALL• E raise many ethical
concerns due to the generation of harmful images such as Not-Safe-for-Work (NSFW) ones …
concerns due to the generation of harmful images such as Not-Safe-for-Work (NSFW) ones …
An extensive study on pre-trained models for program understanding and generation
Automatic program understanding and generation techniques could significantly advance
the productivity of programmers and have been widely studied by academia and industry …
the productivity of programmers and have been widely studied by academia and industry …
Adversarial glue: A multi-task benchmark for robustness evaluation of language models
Large-scale pre-trained language models have achieved tremendous success across a
wide range of natural language understanding (NLU) tasks, even surpassing human …
wide range of natural language understanding (NLU) tasks, even surpassing human …