GitHub - explanare/char-iit: A causal intervention framework to learn robust and interpretable character representations inside subword-based language models (original) (raw)
Navigation Menu
Appearance settings
- GitHub Copilot Write better code with AI
- GitHub Models New Manage and compare prompts
- GitHub Advanced Security Find and fix vulnerabilities
- Actions Automate any workflow
- Codespaces Instant dev environments
- Issues Plan and track work
- Code Review Manage code changes
- Discussions Collaborate outside of code
- Code Search Find more, search less
Explore - Why GitHub
- All features
- Documentation
- GitHub Skills
- Blog
- By company size
- Topics
- Pricing
Provide feedback
We read every piece of feedback, and take your input very seriously.
Include my email address so I can be contacted
Saved searches
Use saved searches to filter your results more quickly
Appearance settings
- Notifications You must be signed in to change notification settings
- Fork0
- Star 1
A causal intervention framework to learn robust and interpretable character representations inside subword-based language models
License
1 star 0 forks Branches Tags Activity
Notifications You must be signed in to change notification settings
Additional navigation options
Folders and files
| Name | Name | Last commit message | Last commit date |
|---|---|---|---|
| Latest commitHistory6 Commits | |||
| LICENSE | LICENSE | ||
| README.md | README.md | ||
| char_iit.ipynb | char_iit.ipynb | ||
| data.tgz | data.tgz | ||
| tokenizers.tgz | tokenizers.tgz |
Repository files navigation
Inducing Character-level Structure in Subword-based Language Models with Type-level Interchange Intervention Training
This repository contains dataset and models for ACL 2023 Findings paper: Inducing Character-level Structure in Subword-based Language Models with Type-level Interchange Intervention Training.
Code to reproduce results in the paper is also available in Colab.
About
A causal intervention framework to learn robust and interpretable character representations inside subword-based language models
Topics
subword interpretability character-level-language-model causal-intervention