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Stanford XCS224U: NLU I Analysis Methods for NLU, Part 3: Feature Attribution I Spring 2023
Stanford XCS224U: NLU I Analysis Methods for NLU, Part 1: Overview I Spring 2023
Stanford XCS224U: NLU I Analysis Methods for NLU, Part 2: Probing I Spring 2023
Stanford XCS224U: NLU I Behavioral Evaluation of NLU Models, Part 1: Overview I Spring 2023
Stanford XCS224U I Analysis NLU, Pt 4: Casual Abstraction & Interchange Intervention Training (IIT)
CS157 Orientation
Stanford XCS224U: Natural Language Understanding I Course Overview, Part 2 I Spring 2023
Stanford CS224N NLP with Deep Learning | 2023 | Lec. 19 - Model Interpretability & Editing, Been Kim
LTI Colloquium: Towards more Meaningful Benchmarks for Natural Language Understanding
Stanford CS224N NLP with Deep Learning |Spring 2022|Guest Lecture: Building Knowledge Representation
Beyond Word Importance: Contextual Decomposition for Interpreting LSTMs
4.7 Neural models (UvA - Information Retrieval - 2021)
