38 citations · 41 across the 7 of their papers we have counts for
8 papers · 1 filter
A New Benchmark and Reverse Validation Method for Passage-level Hallucination Detection
Shiping Yang, Renliang Sun, Xiaojun Wan
Large Language Models (LLMs) have shown their ability to collaborate effectively with humans in real-world scenarios. However, LLMs are apt to generate hallucinations, i.e., makeup…
A New Dataset and Empirical Study for Sentence Simplification in Chinese
Shiping Yang, Renliang Sun, Xiaojun Wan
Sentence Simplification is a valuable technique that can benefit language learners and children a lot. However, current research focuses more on English sentence simplification. Th…
Teaching the Pre-trained Model to Generate Simple Texts for Text Simplification
Renliang Sun, Wei Xu, Xiaojun Wan
Randomly masking text spans in ordinary texts in the pre-training stage hardly allows models to acquire the ability to generate simple texts. It can hurt the performance of pre-tra…
Human-like Summarization Evaluation with ChatGPT
Mingqi Gao, Jie Ruan, Renliang Sun +3
Evaluating text summarization is a challenging problem, and existing evaluation metrics are far from satisfactory. In this study, we explored ChatGPT's ability to perform human-lik…
Exploiting Summarization Data to Help Text Simplification
Renliang Sun, Zhixian Yang, Xiaojun Wan
One of the major problems with text simplification is the lack of high-quality data. The sources of simplification datasets are limited to Wikipedia and Newsela, restricting furthe…
Nearest Neighbor Knowledge Distillation for Neural Machine Translation
Zhixian Yang, Renliang Sun, Xiaojun Wan
k-nearest-neighbor machine translation (NN-MT), proposed by Khandelwal et al. (2021), has achieved many state-of-the-art results in machine translation tasks. Although effective, N…