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Zhaojian Yu

2 accepted papers

2025

HumanEval Pro and MBPP Pro: Evaluating Large Language Models on Self-invoking Code Generation Task

ACL 2025finding

In this paper, we present HumanEval Pro and MBPP Pro, a series of benchmarks to evaluate LLMs on self-invoking code generation task. This task involves providing LLMs with a base problem alongside a related, more complex problem. The models must solve the base problem and leverage its solution to ad…

2024

WaveCoder: Widespread And Versatile Enhancement For Code Large Language Models By Instruction Tuning

ACL 2024long

Recent work demonstrates that, after instruction tuning, Code Large Language Models (Code LLMs) can obtain impressive capabilities to address a wide range of code-related tasks. However, current instruction tuning methods for Code LLMs mainly focus on the traditional code generation task, resulting…