Extracting Information from Text into Memory for Knowledge-Intensive Tasks

Extracting Information from Text into Memory for Knowledge-Intensive Tasks

Center for Language & Speech Processing(CLSP), JHU via YouTube Direct link

Introduction

1 of 27

1 of 27

Introduction

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Classroom Contents

Extracting Information from Text into Memory for Knowledge-Intensive Tasks

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  1. 1 Introduction
  2. 2 Large language models as knowledge sources
  3. 3 Problems with large language models
  4. 4 Dedicated memory controller
  5. 5 Modern models
  6. 6 Pretraining path
  7. 7 Masks
  8. 8 Entry Point
  9. 9 Motivation Example
  10. 10 Intuition
  11. 11 Variants
  12. 12 How to get auxiliary information
  13. 13 Read twice
  14. 14 First read
  15. 15 Representation of multiwork phrases
  16. 16 Narrative QA
  17. 17 Results
  18. 18 Action Apps
  19. 19 Memory
  20. 20 Motivation
  21. 21 Question Answering
  22. 22 Modeling Challenge
  23. 23 Evaluation
  24. 24 Memory Size
  25. 25 First Example
  26. 26 Retrieval
  27. 27 Questions

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