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cs.CL2024
Boosting LLM via Learning from Data Iteratively and Selectively
Qi Jia, Siyu Ren, Ziheng Qin +3
Datasets nowadays are generally constructed from multiple sources and using different synthetic techniques, making data de-noising and de-duplication crucial before being used for…
cs.CL2020
Knowledge-Driven Distractor Generation for Cloze-style Multiple Choice Questions
Siyu Ren, Kenny Q. Zhu
In this paper, we propose a novel configurable framework to automatically generate distractive choices for open-domain cloze-style multiple-choice questions, which incorporates a g…