Papers by Kexiang Wang
An Anchor-Based Automatic Evaluation Metric for Document Summarization (2020.coling-main)
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| Challenge: | Existing reference-based evaluation metrics such as ROUGE have their own drawbacks. |
| Approach: | They propose a protocol for a reference-based automatic evaluation metric that requires the endorsement of source document. |
| Outcome: | The proposed metric is anchored on source document and has higher correlation with human judgments. |
A Spectral Method for Unsupervised Multi-Document Summarization (2020.emnlp-main)
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| Challenge: | a spectral-based hypothesis is proposed for the unsupervised task of multi-document summarization. |
| Approach: | They propose a spectral-based hypothesis that a summary candidate's spectral impact is closely linked to its spectre. |
| Outcome: | The proposed method has a competitive result compared to state-of-the-art systems. |
UEGP: Unified Expert-Guided Pre-training for Knowledge Rekindle (2024.findings-naacl)
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Yutao Mou, Kexiang Wang, Jianhe Lin, Dehong Ma, Jun Fan, Daiting Shi, Zhicong Cheng, Gu Simiu, Dawei Yin, Weiran Xu
| Challenge: | Existing paradigms for pre-training and fine-tuning have limitations . knowledge rekindle aims to break through performance upper bounds of experts without introducing additional annotated data. |
| Approach: | They propose a new paradigm for pre-training and fine-tuning that aims to re-incorporate the fine- tuned expert model into the training cycle and break through performance upper bounds of experts. |
| Outcome: | The proposed model breaks through performance upper bounds of experts without additional annotated data. |