In this reading group meeting, Rupak Kumar Das presents an interesting paper on applying LLMs to fake news detection. The paper is called Bad actor, good advisor: exploring the role of large language models in fake news detection by Hu et al. Their main key finding is...
In this reading group, Dr. Jonathan Dodge covers a meta-analysis of XAI user studies. A meta-analysis allows the investigator to combine experimental samples in such a way as to increase the statistical power of the results. This lets the community better understand...
In this reading group, Dr. Jonathan Dodge presents a paper called Streamlined AI Architecture for Wargaming, by Rose and Ryer. This paper describes APIs to let AI cooperate better with environments and other necessary entities to enable the users to conduct wargaming...
In this reading group meeting, Dr. Jonathan Dodge covers a very interesting paper on the presence of “super weights” in LLMs. These weights are characterized by having high magnitude and high activations, both to the point of being outliers. The paper is...
In this paper, Dr. Jonathan Dodge covers the best paper award winner from ACL 2020, Beyond Accuracy: Behavioral Testing of NLP Models with CheckList, by Ribeiro et al. This paper is quite an interesting one, offering a short list of sanity checks that NLP models...
