Papers by Milad Alizadeh

1 papers
On Leakage of Code Generation Evaluation Datasets (2024.findings-emnlp)

Copied to clipboard

Challenge: In this paper, we discuss contamination by code generation test sets in large language models.
Approach: They propose to use Python to test code generation test sets for contamination . they find that code generation is an important skill for large language models to master .
Outcome: The proposed benchmarks are uncontaminated and provide a new insight into code generation.

What is GenGO?

GenGO is an NLP powered publication search system. It currenctly indexes 30k+ papers from ACL Anthology, and implements multi-aspect summarization, semantic search, and more!

Information

About
Limitations