Hiroaki Hayashi
Hiroaki Hayashi
Salesforce Research
Verified email at - Homepage
Cited by
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Pre-train, prompt, and predict: A systematic survey of prompting methods in natural language processing
P Liu, W Yuan, J Fu, Z Jiang, H Hayashi, G Neubig
ACM Computing Surveys 55 (9), 1-35, 2023
CodeGen: An Open Large Language Model for Code with Multi-turn Program Synthesis
E Nijkamp, B Pang, H Hayashi, L Tu, H Wang, Y Zhou, S Savarese, ...
arXiv preprint arXiv:2203.13474, 2022
GSum: A General Framework for Guided Neural Abstractive Summarization
ZY Dou, P Liu, H Hayashi, Z Jiang, G Neubig
NAACL 2021, 4830-4842, 2020
CodeGen2: Lessons for Training LLMs on Programming and Natural Languages
E Nijkamp, H Hayashi, C Xiong, S Savarese, Y Zhou
arXiv preprint arXiv:2305.02309, 2023
WikiAsp: A Dataset for Multi-domain Aspect-based Summarization
H Hayashi, P Budania, P Wang, C Ackerson, R Neervannan, G Neubig
Transactions of the Association for Computational Linguistics 9, 211-225, 2021
Learning to Describe Unknown Phrases with Local and Global Contexts
S Ishiwatari, H Hayashi, N Yoshinaga, G Neubig, S Sato, M Toyoda, ...
NAACL 2019, 3467-3476, 2019
Eve: A gradient based optimization method with locally and globally adaptive learning rates
H Hayashi, J Koushik, G Neubig
arXiv preprint arXiv:1611.01505, 2016
Latent Relation Language Models
H Hayashi, Z Hu, C Xiong, G Neubig
AAAI 2020, 7911-7918, 2020
Findings of the Third Workshop on Neural Generation and Translation
H Hayashi, Y Oda, A Birch, I Konstas, A Finch, MT Luong, G Neubig, ...
WNGT 2019, 2019
Xgen-7b technical report
E Nijkamp, T Xie, H Hayashi, B Pang, C Xia, C Xing, J Vig, S Yavuz, ...
arXiv preprint arXiv:2309.03450, 2023
DEEP: denoising entity pre-training for neural machine translation
J Hu, H Hayashi, K Cho, G Neubig
arXiv preprint arXiv:2111.07393, 2021
Findings of the Fourth Workshop on Neural Generation and Translation
K Heafield, H Hayashi, Y Oda, I Konstas, A Finch, G Neubig, X Li, A Birch
WNGT 2020, 1-9, 2020
Gemv2: Multilingual nlg benchmarking in a single line of code
S Gehrmann, A Bhattacharjee, A Mahendiran, A Wang, A Papangelis, ...
arXiv preprint arXiv:2206.11249, 2022
The ARIEL-CMU situation frame detection pipeline for LoReHLT16: a model translation approach
P Littell, T Tian, R Xu, Z Sheikh, D Mortensen, L Levin, F Tyers, H Hayashi, ...
Machine Translation 32, 105-126, 2018
What's New? Summarizing Contributions in Scientific Literature
H Hayashi, W Kryściński, B McCann, N Rajani, C Xiong
EACL 2023, 2020
Linguistic versus Latent Relations for Modeling Coherent Flow in Paragraphs
D Kang, H Hayashi, AW Black, E Hovy
EMNLP 2019, 2019
Neural Aspect-based Text Generation
H Hayashi
Carnegie Mellon University, 2021
Proceedings of the Fourth Workshop on Neural Generation and Translation
A Birch, A Finch, H Hayashi, K Heafield, M Junczys-Dowmunt, I Konstas, ...
Proceedings of the Fourth Workshop on Neural Generation and Translation, 2020
Systems and methods for scientific contribution summarization
H Hayashi, W Kryscinski
US Patent 11,790,184, 2023
Systems and methods for a conversational framework of program synthesis
H Hayashi, Y Zhou, P Bo, E Nijkamp
US Patent App. 17/889,998, 2023
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