Kaiqiang Song

CATE: Computation-aware Neural Architecture Encoding with Transformers

2021 · arXiv (Cornell University)

Recent works (White et al., 2020a; Yan et al., 2020) demonstrate the importance of architecture encodings in Neural Architecture Search (NAS). These encodings encode either structure or computation information of the neural architectures. Compared to …

Generating User-Engaging News Headlines

2023

Pengshan Cai, Kaiqiang Song, Sangwoo Cho, Hongwei Wang, Xiaoyang Wang, Hong Yu, Fei Liu, Dong Yu. Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers). 2023.

Structure-Infused Copy Mechanisms for Abstractive Summarization

2018 · arXiv (Cornell University)

Seq2seq learning has produced promising results on summarization. However, in many cases, system summaries still struggle to keep the meaning of the original intact. They may miss out important words or relations that play critical …

Scoring Sentence Singletons and Pairs for Abstractive Summarization

2019

When writing a summary, humans tend to choose content from one or two sentences and merge them into a single summary sentence. However, the mechanisms behind the selection of one or multiple source sentences remain …

Adapting the Neural Encoder-Decoder Framework from Single to Multi-Document Summarization

2018

Generating a text abstract from a set of documents remains a challenging task. The neural encoder-decoder framework has recently been exploited to summarize single documents, but its success can in part be attributed to the …