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Are LLMs the Beginning or End of NLP?
- Workshop: Large Language Models and Transformers
- Speaker(s): Dan Klein (UC Berkeley)
- Location: Calvin Lab Auditorium
- Date: Thursday, Aug. 17, 2023
- Time: 2 – 3 p.m. PT
Abstract
I’ll talk about three major tensions in NLP resulting from rapid advances of large language models. First, we are in the middle of a switch from vertical research on tasks (parsing, coreference, sentiment) to the kind of horizontal tech stacks that exist elsewhere in CS. Second, there is a fundamental tension between the factors that drive machine learning (scaled, end-to-end optimization of monoliths) and the factors that drive human software engineering (modularity, abstraction, interoperability). Third, modern models can be stunning on some axes while showing major gaps on others – they can, in different ways, simultaneously be general, fragile, or dangerous. I’ll give an NLP perspective on these issues along with some possible solution directions.