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Qiufeng Yin

2 accepted papers

2025

MMLU-CF: A Contamination-free Multi-task Language Understanding Benchmark

ACL 2025long

Multiple-choice question (MCQ) datasets like Massive Multitask Language Understanding (MMLU) are widely used to evaluate the commonsense, understanding, and problem-solving abilities of large language models (LLMs). However, the open-source nature of these benchmarks and the broad sources of trainin…

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…