Yifei Fu — accepted AI-conference papers

2025

Data-Efficient Selection via Grammatical Complexity in Continual Pre-training of Domain-Specific LLMs

Yizhou Ying, Geng Zhang, Cui Danxin, Chengyu Du, Guanglei Yue, Sihang Jiang +4

EMNLP 2025

Data efficiency is crucial in domain-specific continual pre-training (CPT) of large language models (LLMs), especially under resource constraints. Aiming for “small data, big impact,” this work addresses the limitations of existing domain-specific data selection strategies, which often rely on scarc

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2025

From Remembering to Metacognition: Do Existing Benchmarks Accurately Evaluate LLMs?

Geng Zhang, Yizhou Ying, Sihang Jiang, Jiaqing Liang, Guanglei Yue, Yifei Fu +2

EMNLP 2025

Despite the rapid development of large language models (LLMs), existing benchmark datasets often focus on low-level cognitive tasks, such as factual recall and basic comprehension, while providing limited coverage of higher-level reasoning skills, including analysis, evaluation, and creation. In thi

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