GitHub - amit-sarker/ICL-Analysis-NLP-685: This evaluation explores the In-context learning (ICL) capabilities of pre-trained language models on arithmetic tasks and sentiment analysis using synthetic datasets. The goal is to use different prompting strategies—zero-shot, few-shot, and chain-of-thought—to assess the performance of these models on the given tasks.

amit-sarker / ICL-Analysis-NLP-685 Public

Notifications You must be signed in to change notification settings
Fork 0
Star 0

This evaluation explores the In-context learning (ICL) capabilities of pre-trained language models on arithmetic tasks and sentiment analysis using synthetic datasets. The goal is to use different prompting strategies—zero-shot, few-shot, and chain-of-thought—to assess the performance of these models on the given tasks.

amit-sarker.github.io/projects/4_project/

0 stars 0 forks Branches Tags Activity

Star

Notifications

Branches Tags

Name		Name	Last commit message	Last commit date
Latest commit History 13 Commits
Accuracy		Accuracy
Analysis Results		Analysis Results
F1_Macro		F1_Macro
Jumbled Arithmetic		Jumbled Arithmetic
Regular Arithmetic		Regular Arithmetic
Sentiment Anlysis		Sentiment Anlysis
README.md		README.md