14 citations · 42 across the 11 of their papers we have counts for
16 papers · 1 filter
CulFiT: A Fine-grained Cultural-aware LLM Training Paradigm via Multilingual Critique Data Synthesis
Ruixiang Feng, Shen Gao, Xiuying Chen +2
Large Language Models (LLMs) have demonstrated remarkable capabilities across various tasks, yet they often exhibit a specific cultural biases, neglecting the values and linguistic…
Stick to Facts: Towards Fidelity-oriented Product Description Generation
Zhangming Chan, Xiuying Chen, Yongliang Wang +5
Different from other text generation tasks, in product description generation, it is of vital importance to generate faithful descriptions that stick to the product attribute infor…
Write Summary Step-by-Step: A Pilot Study of Stepwise Summarization
Xiuying Chen, Shen Gao, Mingzhe Li +3
Nowadays, neural text generation has made tremendous progress in abstractive summarization tasks. However, most of the existing summarization models take in the whole document all…
Rethinking Scientific Summarization Evaluation: Grounding Explainable Metrics on Facet-aware Benchmark
Xiuying Chen, Tairan Wang, Qingqing Zhu +5
The summarization capabilities of pretrained and large language models (LLMs) have been widely validated in general areas, but their use in scientific corpus, which involves comple…
Scientific Paper Extractive Summarization Enhanced by Citation Graphs
Xiuying Chen, Mingzhe Li, Shen Gao +3
In a citation graph, adjacent paper nodes share related scientific terms and topics. The graph thus conveys unique structure information of document-level relatedness that can be u…
Towards Improving Faithfulness in Abstractive Summarization
Xiuying Chen, Mingzhe Li, Xin Gao +1
Despite the success achieved in neural abstractive summarization based on pre-trained language models, one unresolved issue is that the generated summaries are not always faithful…