NLP Highlights Podcast
1) Are LLMs safe?
Curious about the safety of LLMs? 🤔 Join us for an insightful new episode featuring Suchin Gururangan, Young Investigator at Allen Institute for Artificial Intelligence and Data Science Engineer at A...Show More
2) "Imaginative AI" with Mohamed Elhoseiny
This podcast episode features Dr. Mohamed Elhoseiny, a true luminary in the realm of computer vision with over a decade of groundbreaking research. As an Assistant Professor at KAUST, Dr. Elhoseiny's ...Show More
3) Science Of Science, with Kyle Lo
Our first guest with this new format is Kyle Lo, the most senior lead scientist in the Semantic Scholar team at Allen Institute for AI (AI2), who kindly agreed to share his perspective on #Science of ...Show More
4) 141 - Building an open source LM, with Iz Beltagy and Dirk Groeneveld
In this special episode of NLP Highlights, we discussed building and open sourcing language models. What is the usual recipe for building large language models? What does it mean to open source them? ...Show More
5) 140 - Generative AI and Copyright, with Chris Callison-Burch
In this special episode, we chatted with Chris Callison-Burch about his testimony in the recent U.S. Congress Hearing on the Interoperability of AI and Copyright Law. We started by asking Chris about ...Show More
6) 139 - Coherent Long Story Generation, with Kevin Yang
How can we generate coherent long stories from language models? Ensuring that the generated story has long range consistency and that it conforms to a high level plan is typically challenging. In this...Show More
7) 138 - Compositional Generalization in Neural Networks, with Najoung Kim
Compositional generalization refers to the capability of models to generalize to out-of-distribution instances by composing information obtained from the training data. In this episode we chatted with...Show More
8) 137 - Nearest Neighbor Language Modeling and Machine Translation, with Urvashi Khandelwal
We invited Urvashi Khandelwal, a research scientist at Google Brain to talk about nearest neighbor language and machine translation models. These models interpolate parametric (conditional) language m...Show More
9) 136 - Including Signed Languages in NLP, with Kayo Yin and Malihe Alikhani
In this episode, we talk with Kayo Yin, an incoming PhD at Berkeley, and Malihe Alikhani, an assistant professor at the University of Pittsburgh, about opportunities for the NLP community to contribut...Show More
136 - Including Signed Languages in NLP, with Kayo Yin and Malihe Alikhani
1:02:15 | May 19th, 2022
10) 135 - PhD Application Series: After Submitting Applications
This episode is the third in our current series on PhD applications. We talk about what the PhD application process looks like after applications are submitted. We start with a general overview of th...Show More