Hiroaki Hayashi

[ hiroakih at cs.cmu.edu ] [GitHub] [Twitter]

I am a PhD Student at the Language Technologies Institute, Carnegie Mellon University, advised by Dr. Graham Neubig. My research interest is language generation with external and/or latent knowledge.

Previously, I was a master’s student working with Dr. Eduard Hovy and Dr. Teruko Mitamura on information extraction in low-resource languages.

Before that, I did my undergraduate study at Waseda University focusing on cross-lingual IR under Dr. Tetsuya Sakai’s supervision.

Publications and Preprints

WikiAsp: A Dataset for Multi-domain Aspect-based Summarization
Hiroaki Hayashi, Prashant Budania, Peng Wang, Chris Ackerson, Raj Neervannan, Graham Neubig
TACL 2021
[paper][data]

GSum: A General Framework for Guided Neural Abstractive Summarization
Zi-Yi Dou, Pengfei Liu, Hiroaki Hayashi, Zhengbao Jiang, Graham Neubig
NAACL 2021
[arxiv][code]

What’s New? Summarizing Contributions in Scientific Literature
Hiroaki Hayashi, Wojciech Kryściński, Bryan McCann, Nazneen Rajani, Caiming Xiong
[arxiv][code]

Latent Relation Language Models
Hiroaki Hayashi,* Zecong Hu,* Chenyan Xiong, Graham Neubig
AAAI 2020
[arxiv][code]

Findings of the Third Workshop on Neural Generation and Translation
Hiroaki Hayashi, Yusuke Oda, Alexandra Birch, Ioannis Konstas, Andrew Finch, Minh-Thang Luong, Graham Neubig, Katsuhito Sudoh
EMNLP 2019
[arxiv][website]

Learning to Describe Phrases with Local and Global Contexts
Shonosuke Ishiwatari, Hiroaki Hayashi, Naoki Yoshinaga, Graham Neubig, Masashi Toyoda, Masaru Kitsuregawa
NAACL 2019
[arxiv][code]

Eve: A Gradient Based Optimization Method with Locally and Globally Adaptive Learning Rates
Hiroaki Hayashi,* Jayanth Koushik,* Graham Neubig
[arxiv][code][poster]

The ARIEL-CMU situation frame detection pipeline for LoReHLT16: a model translation approach
Littel, Tian, Xu, Sheikh, Mortensen, Levin, Tyers, Hayashi, Horwood, Sloto, Tagtow, Black, Yang, Mitamura, Hovy
Machine Translation, 2017
[paper]

* Equal contribution