Papers with IFE
Is In-Context Learning a Type of Error-Driven Learning? Evidence from the Inverse Frequency Effect in Structural Priming (2025.naacl-long)
Copied to clipboard
| Challenge: | Recent pre-trained large language models have shown the capacity to perform in-context learning (ICL) this capability could provide a way to bridge the divide between language models and humans. |
| Approach: | They propose a new way of diagnosing whether ICL is error-driven learning . they simulated structural priming with ICL and found the effect was stronger . |
| Outcome: | The proposed method is based on the inverse frequency effect (IFE) phenomenon is similar to error-driven learning in large language models . |