1 citations · 1 across the 3 of their papers we have counts for
3 papers
cs.CV2022
Grafting Pre-trained Models for Multimodal Headline Generation
Lingfeng Qiao, Chen Wu, Ye Liu +3
Multimodal headline utilizes both video frames and transcripts to generate the natural language title of the videos. Due to a lack of large-scale, manually annotated data, the task…
cs.CL2022
Unsupervised Extractive Summarization with Heterogeneous Graph Embeddings for Chinese Document
Chen Lin, Ye Liu, Siyu An +1
In the scenario of unsupervised extractive summarization, learning high-quality sentence representations is essential to select salient sentences from the input document. Previous…
cs.CL2022★ 1 cited
Leveraging Key Information Modeling to Improve Less-Data Constrained News Headline Generation via Duality Fine-Tuning
Zhuoxuan Jiang, Lingfeng Qiao, Di Yin +2
Recent language generative models are mostly trained on large-scale datasets, while in some real scenarios, the training datasets are often expensive to obtain and would be small-s…