Grounding through pure language modeling objectives, the origins or probing, the nature of understanding, the future of system assessment, signs of meaningful progress in the field, and having faith in yourself.

Transcript: https://web.stanford.edu/class/cs224u/podcast/pavlick/

The early days of the rise of deep learning in NLP, conviction, the importance of applied work in the current moment, start-up risks, the state of Web search, paramotoring, and over-looked gems in the U.S. National Park system.

Transcript: https://web.stanford.edu/class/cs224u/podcast/socher/

Pronouncing "ColBERT", the origins of ColBERT, doing NLP from an IR perspective, how getting "scooped" can be productive, OpenQA and related tasks, PhD journeys, why even retrieval plus attention is not all you need, multilingual knowledge-intensive NLP, and aiming high in research projects.

Transcript: https://web.stanford.edu/class/cs224u/podcast/khattab/

Neuroscience and neural networks, being a linguist in the world of NLP, evaluation methods, fine-grained NLI questions, the pace of research, and the vexing fact that, on the internet, people = men.

Transcript: https://web.stanford.edu/class/cs224u/podcast/williams/

Hugging Face, multimodality, data and model auditing, ethics review, adversarial testing, attention as more and less than you ever needed, neural information retrieval, philosophy of mind and consciousness, augmenting human creativity, openness in science, and a defininitive guide to pronouncing Douwe.

Transcript: https://web.stanford.edu/class/cs224u/podcast/kiela/

Deriving static representations from contextual ones, interdisciplinary research, training large models, the Foundation Models paper and CRFM, being an academic on Twitter, and progress in NLP.

Transcript: https://web.stanford.edu/class/cs224u/podcast/bommasani/