Chris Potts

Why are prompt optimizers still so underrated?

Assessing skeptical views of interpretability research

Finding linguistic structure in large language models

Lexical semantics in the time of large language models

Causal abstraction | Stanford CS224U Natural Language Understanding

Homework: Few-shot OpenQA with ColBERT retrieval | Stanford CS224U Natural Language Understanding

Could a purely self-supervised Foundation Model achieve grounded language understanding?

Semantic composition, part 4 | Introduction to Semantics and Pragmatics

Course overview | Introduction to Semantics and Pragmatics

Proper names | Introduction to Semantics and Pragmatics

Course mechanics | Introduction to Semantics and Pragmatics

Compositionality | Introduction to Semantics and Pragmatics

Perspectives on meaning and interpretation | Introduction to Semantics and Pragmatics

Compounds, part 1 | Introduction to Semantics and Pragmatics

Compounds, part 2 | Introduction to Semantics and Pragmatics

Compounds, part 3 | Introduction to Semantics and Pragmatics

Compounds, part 4 | Introduction to Semantics and Pragmatics

Semantic composition, part 1 | Introduction to Semantics and Pragmatics

Semantic composition, part 2 | Introduction to Semantics and Pragmatics

Semantic composition, part 3 | Introduction to Semantics and Pragmatics

Quantifiers, part 1 | Introduction to Semantics and Pragmatics

Quantifiers, part 2 | Introduction to Semantics and Pragmatics

Quantifiers, part 3 | Introduction to Semantics and Pragmatics

Pragmatics jokes | Introduction to Semantics and Pragmatics

Midterm exam overview | Introduction to Semantics and Pragmatics

Pragmatics, part 1 | Introduction to Semantics and Pragmatics

Pragmatics, part 2 | Introduction to Semantics and Pragmatics

Pragmatics, part 3 | Introduction to Semantics and Pragmatics

Implicature tests | Introduction to Semantics and Pragmatics

Implicature universality | Introduction to Semantics and Pragmatics