3 citations · 7 across the 7 of their papers we have counts for
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cs.CL2024★ 2 cited
RAGEval: Scenario Specific RAG Evaluation Dataset Generation Framework
Kunlun Zhu, Yifan Luo, Dingling Xu +10
Retrieval-Augmented Generation (RAG) is a powerful approach that enables large language models (LLMs) to incorporate external knowledge. However, evaluating the effectiveness of RA…
cs.CL2024
Autonomous Data Selection with Zero-shot Generative Classifiers for Mathematical Texts
Yifan Zhang, Yifan Luo, Yang Yuan +1
We present Autonomous Data Selection (AutoDS), a method that leverages base language models themselves as zero-shot "generative classifiers" to automatically curate high-quality ma…
cs.CL2024★ 1 cited
Augmenting Math Word Problems via Iterative Question Composing
Haoxiong Liu, Yifan Zhang, Yifan Luo +1
Despite the advancements in large language models (LLMs) for mathematical reasoning, solving competition-level math problems remains a significant challenge, especially for open-so…