"How Do Transformers Learn In-Context Beyond Simple Functions? A Case Study ..."

Tianyu Guo et al. (2024)

> Home

Details and statistics

DOI: —

access: open

type: Conference or Workshop Paper

metadata version: 2024-08-13

- view
  - electronic edition @ openreview.net (open access)
- export record
  dblp key:
  - conf/iclr/0004HMWXS024
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/conf/iclr/0004HMWXS024
Tianyu Guo, Wei Hu, Song Mei, Huan Wang, Caiming Xiong, Silvio Savarese, Yu Bai:
How Do Transformers Learn In-Context Beyond Simple Functions? A Case Study on Learning with Representations. ICLR 2024

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.