"Too Big to Fail: Larger Language Models are Disproportionately Resilient ..."

Changye Li et al. (2024)

> Home

Details and statistics

DOI: 10.18653/V1/2024.FINDINGS-ACL.380

access: open

type: Conference or Workshop Paper

metadata version: 2025-03-03

- view
  - electronic edition via DOI (open access)
  - electronic edition @ aclanthology.org (open access)
  authority control:
- export record
  dblp key:
  - conf/acl/LiSCP24
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/conf/acl/LiSCP24
Changye Li, Zhecheng Sheng, Trevor Cohen, Serguei Pakhomov:
Too Big to Fail: Larger Language Models are Disproportionately Resilient to Induction of Dementia-Related Linguistic Anomalies. ACL (Findings) 2024: 6363-6377

manage site settings

To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.