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ORCIDFei Cheng 0002
Person information
- affiliation: Kyoto University, Department of Intelligence Science and Technology, Japan
- affiliation (2016-2019): National Institute of Informatics, Tokyo, Japan
- affiliation (PhD 2016): Nara Institute of Science and Technology, Japan
Other persons with the same name
- Fei Cheng — disambiguation page
- Fei Cheng 0001
![[0000-0002-8776-0533]](https://dblp.uni-trier.de/img/orcid-mark.12x12.png "0000-0002-8776-0533")
— Xi'an Jiaotong-Liverpool University, XJTLU, Department of Communication and Networking, School of Advanced Technology, Suzhou, China (and 1 more) - Fei Cheng 0003 — Shanghai University of Finance and Economics, School of Finance, China (and 1 more)
- Fei Cheng 0004 — Sichuan University, College of Biomass Science and Engineering, China
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2020 – today
- 2024
[c27]Zhen Wan, Yating Zhang, Yexiang Wang, Fei Cheng, Sadao Kurohashi:
Reformulating Domain Adaptation of Large Language Models as Adapt-Retrieve-Revise: A Case Study on Chinese Legal Domain. ACL (Findings) 2024: 5030-5041- [c26]Kazumasa Omura, Fei Cheng, Sadao Kurohashi:
An Empirical Study of Synthetic Data Generation for Implicit Discourse Relation Recognition. LREC/COLING 2024: 1073-1085 - [c25]Yikun Sun, Zhen Wan, Nobuhiro Ueda, Sakiko Yahata, Fei Cheng, Chenhui Chu, Sadao Kurohashi:
Rapidly Developing High-quality Instruction Data and Evaluation Benchmark for Large Language Models with Minimal Human Effort: A Case Study on Japanese. LREC/COLING 2024: 13537-13547 - [i25]Yikun Sun, Zhen Wan, Nobuhiro Ueda, Sakiko Yahata, Fei Cheng, Chenhui Chu, Sadao Kurohashi:
Rapidly Developing High-quality Instruction Data and Evaluation Benchmark for Large Language Models with Minimal Human Effort: A Case Study on Japanese. CoRR abs/2403.03690 (2024) - [i24]Felix Giovanni Virgo, Fei Cheng, Lis Kanashiro Pereira, Masayuki Asahara, Ichiro Kobayashi, Sadao Kurohashi:
AcTED: Automatic Acquisition of Typical Event Duration for Semi-supervised Temporal Commonsense QA. CoRR abs/2403.18504 (2024) - [i23]Peitao Han, Lis Kanashiro Pereira, Fei Cheng, Wan-Jou She, Eiji Aramaki:
Enhancing In-Context Learning with Semantic Representations for Relation Extraction. CoRR abs/2406.10432 (2024) - [i22]Akiko Aizawa, Eiji Aramaki, Bowen Chen, Fei Cheng, Hiroyuki Deguchi, Rintaro Enomoto, Kazuki Fujii, Kensuke Fukumoto, Takuya Fukushima, Namgi Han, Yuto Harada, Chikara Hashimoto, Tatsuya Hiraoka, Shohei Hisada, Sosuke Hosokawa, Lu Jie, Keisuke Kamata, Teruhito Kanazawa, Hiroki Kanezashi, Hiroshi Kataoka, Satoru Katsumata, Daisuke Kawahara, Seiya Kawano, Atsushi Keyaki, Keisuke Kiryu, Hirokazu Kiyomaru, Takashi Kodama, Takahiro Kubo, Yohei Kuga, Ryoma Kumon, Shuhei Kurita, Sadao Kurohashi, Conglong Li, Taiki Maekawa, Hiroshi Matsuda, Yusuke Miyao, Kentaro Mizuki, Sakae Mizuki, Yugo Murawaki, Ryo Nakamura, Taishi Nakamura, Kouta Nakayama, Tomoka Nakazato, Takuro Niitsuma, Jiro Nishitoba, Yusuke Oda, Hayato Ogawa, Takumi Okamoto, Naoaki Okazaki, Yohei Oseki, Shintaro Ozaki, Koki Ryu, Rafal Rzepka, Keisuke Sakaguchi, Shota Sasaki, Satoshi Sekine, Kohei Suda, Saku Sugawara, Issa Sugiura, Hiroaki Sugiyama, Hisami Suzuki, Jun Suzuki, Toyotaro Suzumura, Kensuke Tachibana, Yu Takagi, Kyosuke Takami, Koichi Takeda, Masashi Takeshita, Masahiro Tanaka, Kenjiro Taura, Arseny Tolmachev, Nobuhiro Ueda, Zhen Wan, Shuntaro Yada, Sakiko Yahata, Yuya Yamamoto, Yusuke Yamauchi, Hitomi Yanaka, Rio Yokota, Koichiro Yoshino:
LLM-jp: A Cross-organizational Project for the Research and Development of Fully Open Japanese LLMs. CoRR abs/2407.03963 (2024) - [i21]Chengzhi Zhong, Fei Cheng, Qianying Liu, Junfeng Jiang, Zhen Wan, Chenhui Chu, Yugo Murawaki, Sadao Kurohashi:
Beyond English-Centric LLMs: What Language Do Multilingual Language Models Think in? CoRR abs/2408.10811 (2024) - 2023
- [c24]Tatsuro Inaba, Hirokazu Kiyomaru, Fei Cheng, Sadao Kurohashi:
MultiTool-CoT: GPT-3 Can Use Multiple External Tools with Chain of Thought Prompting. ACL (2) 2023: 1522-1532 - [c23]Zhen Wan, Fei Cheng, Qianying Liu, Zhuoyuan Mao, Haiyue Song, Sadao Kurohashi:
Relation Extraction with Weighted Contrastive Pre-training on Distant Supervision. EACL (Findings) 2023: 2535-2540 - [c22]Qianying Liu, Wenyu Guan, Jianhao Shen, Fei Cheng, Sadao Kurohashi:
ComSearch: Equation Searching with Combinatorial Strategy for Solving Math Word Problems with Weak Supervision. EACL 2023: 2541-2554 - [c21]Zhen Wan, Fei Cheng, Zhuoyuan Mao, Qianying Liu, Haiyue Song, Jiwei Li, Sadao Kurohashi:
GPT-RE: In-context Learning for Relation Extraction using Large Language Models. EMNLP 2023: 3534-3547 - [c20]Qianying Liu, Zhuo Gong, Zhengdong Yang, Yuhang Yang, Sheng Li, Chenchen Ding, Nobuaki Minematsu, Hao Huang, Fei Cheng, Chenhui Chu, Sadao Kurohashi:
Hierarchical Softmax for End-To-End Low-Resource Multilingual Speech Recognition. ICASSP 2023: 1-5 - [i20]Zhen Wan, Fei Cheng, Zhuoyuan Mao, Qianying Liu, Haiyue Song, Jiwei Li, Sadao Kurohashi:
GPT-RE: In-context Learning for Relation Extraction using Large Language Models. CoRR abs/2305.02105 (2023) - [i19]Qianying Liu, Dongsheng Yang, Wenjie Zhong, Fei Cheng, Sadao Kurohashi:
Comprehensive Solution Program Centric Pretraining for Table-and-Text Hybrid Numerical Reasoning. CoRR abs/2305.07475 (2023) - [i18]Tatsuro Inaba, Hirokazu Kiyomaru, Fei Cheng, Sadao Kurohashi:
MultiTool-CoT: GPT-3 Can Use Multiple External Tools with Chain of Thought Prompting. CoRR abs/2305.16896 (2023) - [i17]Xiaofei Sun, Linfeng Dong, Xiaoya Li, Zhen Wan, Shuhe Wang, Tianwei Zhang, Jiwei Li, Fei Cheng, Lingjuan Lyu, Fei Wu, Guoyin Wang:
Pushing the Limits of ChatGPT on NLP Tasks. CoRR abs/2306.09719 (2023) - [i16]Zhen Wan, Yating Zhang, Yexiang Wang, Fei Cheng, Sadao Kurohashi:
Reformulating Domain Adaptation of Large Language Models as Adapt-Retrieve-Revise. CoRR abs/2310.03328 (2023) - [i15]Fei Cheng, Masayuki Asahara, Ichiro Kobayashi, Sadao Kurohashi:
Dynamically Updating Event Representations for Temporal Relation Classification with Multi-category Learning. CoRR abs/2310.20236 (2023) - 2022
- [j2]Qianying Liu, Wenyu Guan, Sujian Li, Fei Cheng, Daisuke Kawahara, Sadao Kurohashi:
RODA: Reverse Operation Based Data Augmentation for Solving Math Word Problems. IEEE ACM Trans. Audio Speech Lang. Process. 30: 1-11 (2022) - [c19]Zhen Wan, Qianying Liu, Zhuoyuan Mao, Fei Cheng, Sadao Kurohashi, Jiwei Li:
Rescue Implicit and Long-tail Cases: Nearest Neighbor Relation Extraction. EMNLP 2022: 1731-1738 - [c18]Yibin Shen, Qianying Liu, Zhuoyuan Mao, Fei Cheng, Sadao Kurohashi:
Textual Enhanced Contrastive Learning for Solving Math Word Problems. EMNLP (Findings) 2022: 4297-4307 - [c17]Yibin Shen, Qianying Liu, Zhuoyuan Mao, Zhen Wan, Fei Cheng, Sadao Kurohashi:
Seeking Diverse Reasoning Logic: Controlled Equation Expression Generation for Solving Math Word Problems. AACL/IJCNLP (2) 2022: 254-260 - [c16]Fei Cheng, Shuntaro Yada, Ribeka Tanaka, Eiji Aramaki, Sadao Kurohashi:
JaMIE: A Pipeline Japanese Medical Information Extraction System with Novel Relation Annotation. LREC 2022: 3724-3731 - [c15]Felix Giovanni Virgo, Fei Cheng, Sadao Kurohashi:
Improving Event Duration Question Answering by Leveraging Existing Temporal Information Extraction Data. LREC 2022: 4451-4457 - [i14]Qianying Liu, Yuhang Yang, Zhuo Gong, Sheng Li, Chenchen Ding, Nobuaki Minematsu, Hao Huang, Fei Cheng, Sadao Kurohashi:
Hierarchical Softmax for End-to-End Low-resource Multilingual Speech Recognition. CoRR abs/2204.03855 (2022) - [i13]Zhen Wan, Fei Cheng, Qianying Liu, Zhuoyuan Mao, Haiyue Song, Sadao Kurohashi:
Relation Extraction with Weighted Contrastive Pre-training on Distant Supervision. CoRR abs/2205.08770 (2022) - [i12]Yibin Shen, Qianying Liu, Zhuoyuan Mao, Zhen Wan, Fei Cheng, Sadao Kurohashi:
Seeking Diverse Reasoning Logic: Controlled Equation Expression Generation for Solving Math Word Problems. CoRR abs/2209.10310 (2022) - [i11]Qianying Liu, Wenyu Guan, Jianhao Shen, Fei Cheng, Sadao Kurohashi:
ComSearch: Equation Searching with Combinatorial Strategy for Solving Math Word Problems with Weak Supervision. CoRR abs/2210.07017 (2022) - [i10]Zhen Wan, Qianying Liu, Zhuoyuan Mao, Fei Cheng, Sadao Kurohashi, Jiwei Li:
Rescue Implicit and Long-tail Cases: Nearest Neighbor Relation Extraction. CoRR abs/2210.11800 (2022) - [i9]Yibin Shen, Qianying Liu, Zhuoyuan Mao, Fei Cheng, Sadao Kurohashi:
Textual Enhanced Contrastive Learning for Solving Math Word Problems. CoRR abs/2211.16022 (2022) - 2021
- [c14]Chenjing Geng, Fei Cheng, Masayuki Asahara, Lis Kanashiro Pereira, Ichiro Kobayashi:
Dependency Enhanced Contextual Representations for Japanese Temporal Relation Classification. PACLIC 2021: 170-179 - [c13]Lis Pereira, Fei Cheng, Masayuki Asahara, Ichiro Kobayashi:
ALICE++: Adversarial Training for Robust and Effective Temporal Reasoning. PACLIC 2021: 373-382 - [c12]Yuki Taya, Lis Kanashiro Pereira, Fei Cheng, Ichiro Kobayashi:
OCHADAI-KYOTO at SemEval-2021 Task 1: Enhancing Model Generalization and Robustness for Lexical Complexity Prediction. SemEval@ACL/IJCNLP 2021: 17-23 - [i8]Yuki Taya, Lis Kanashiro Pereira, Fei Cheng, Ichiro Kobayashi:
OCHADAI-KYODAI at SemEval-2021 Task 1: Enhancing Model Generalization and Robustness for Lexical Complexity Prediction. CoRR abs/2105.05535 (2021) - [i7]Fei Cheng, Shuntaro Yada, Ribeka Tanaka, Eiji Aramaki, Sadao Kurohashi:
JaMIE: A Pipeline Japanese Medical Information Extraction System. CoRR abs/2111.04261 (2021) - [i6]Qianying Liu, Fei Cheng, Sadao Kurohashi:
Cross-lingual Adaption Model-Agnostic Meta-Learning for Natural Language Understanding. CoRR abs/2111.05805 (2021) - 2020
- [c11]Haiyue Song, Raj Dabre, Zhuoyuan Mao, Fei Cheng, Sadao Kurohashi, Eiichiro Sumita:
Pre-training via Leveraging Assisting Languages for Neural Machine Translation. ACL (student) 2020: 279-285 - [c10]Akiko Aizawa, Frédéric Bergéron, Junjie Chen, Fei Cheng, Katsuhiko Hayashi, Kentaro Inui, Hiroyoshi Ito, Daisuke Kawahara, Masaru Kitsuregawa, Hirokazu Kiyomaru, Masaki Kobayashi, Takashi Kodama, Sadao Kurohashi, Qianying Liu, Masaki Matsubara, Yusuke Miyao, Atsuyuki Morishima, Yugo Murawaki, Kazumasa Omura, Haiyue Song, Eiichiro Sumita, Shinji Suzuki, Ribeka Tanaka, Yu Tanaka, Masashi Toyoda, Nobuhiro Ueda, Honai Ueoka, Masao Utiyama, Ying Zhong:
A System for Worldwide COVID-19 Information Aggregation. NLP4COVID@EMNLP 2020 - [c9]Ranran Haoran Zhang, Qianying Liu, Aysa Xuemo Fan, Heng Ji, Daojian Zeng, Fei Cheng, Daisuke Kawahara, Sadao Kurohashi:
Minimize Exposure Bias of Seq2Seq Models in Joint Entity and Relation Extraction. EMNLP (Findings) 2020: 236-246 - [c8]Fei Cheng, Masayuki Asahara, Ichiro Kobayashi, Sadao Kurohashi:
Dynamically Updating Event Representations for Temporal Relation Classification with Multi-category Learning. EMNLP (Findings) 2020: 1352-1357 - [c7]Shuntaro Yada, Ayami Joh, Ribeka Tanaka, Fei Cheng, Eiji Aramaki, Sadao Kurohashi:
Towards a Versatile Medical-Annotation Guideline Feasible Without Heavy Medical Knowledge: Starting From Critical Lung Diseases. LREC 2020: 4565-4572 - [c6]Lis Pereira, Xiaodong Liu, Fei Cheng, Masayuki Asahara, Ichiro Kobayashi:
Adversarial Training for Commonsense Inference. RepL4NLP@ACL 2020: 55-60 - [i5]Haiyue Song, Raj Dabre, Zhuoyuan Mao, Fei Cheng, Sadao Kurohashi, Eiichiro Sumita:
Pre-training via Leveraging Assisting Languages and Data Selection for Neural Machine Translation. CoRR abs/2001.08353 (2020) - [i4]Lis Pereira, Xiaodong Liu, Fei Cheng, Masayuki Asahara, Ichiro Kobayashi:
Adversarial Training for Commonsense Inference. CoRR abs/2005.08156 (2020) - [i3]Akiko Aizawa, Frédéric Bergéron, Junjie Chen, Fei Cheng, Katsuhiko Hayashi, Kentaro Inui, Hiroyoshi Ito, Daisuke Kawahara, Masaru Kitsuregawa, Hirokazu Kiyomaru, Masaki Kobayashi, Takashi Kodama, Sadao Kurohashi, Qianying Liu, Masaki Matsubara, Yusuke Miyao, Atsuyuki Morishima, Yugo Murawaki, Kazumasa Omura, Haiyue Song, Eiichiro Sumita, Shinji Suzuki, Ribeka Tanaka, Yu Tanaka, Masashi Toyoda, Nobuhiro Ueda, Honai Ueoka, Masao Utiyama, Ying Zhong:
A System for Worldwide COVID-19 Information Aggregation. CoRR abs/2008.01523 (2020) - [i2]Haoran Zhang, Qianying Liu, Aysa Xuemo Fan, Heng Ji, Daojian Zeng, Fei Cheng, Daisuke Kawahara, Sadao Kurohashi:
Minimize Exposure Bias of Seq2Seq Models in Joint Entity and Relation Extraction. CoRR abs/2009.07503 (2020) - [i1]Qianying Liu, Wenyu Guan, Sujian Li, Fei Cheng, Daisuke Kawahara, Sadao Kurohashi:
Reverse Operation based Data Augmentation for Solving Math Word Problems. CoRR abs/2010.01556 (2020)
2010 – 2019
- 2018
- [c5]Fei Cheng, Yusuke Miyao:
Inducing Temporal Relations from Time Anchor Annotation. NAACL-HLT 2018: 1833-1843 - [c4]Jun Liu, Fei Cheng, Yiran Wang, Hiroyuki Shindo, Yuji Matsumoto:
Automatic Error Correction on Japanese Functional Expressions Using Character-based Neural Machine Translation. PACLIC 2018 - 2017
- [c3]Fei Cheng, Yusuke Miyao:
Classifying Temporal Relations by Bidirectional LSTM over Dependency Paths. ACL (2) 2017: 1-6 - 2015
- [j1]Xiaodong Liu, Fei Cheng, Kevin Duh, Yuji Matsumoto:
A Hybrid Ranking Approach to Chinese Spelling Check. ACM Trans. Asian Low Resour. Lang. Inf. Process. 14(4): 16:1-16:17 (2015) - [c2]Fei Cheng, Kevin Duh, Yuji Matsumoto:
Synthetic Word Parsing Improves Chinese Word Segmentation. ACL (2) 2015: 262-267 - 2014
- [c1]Fei Cheng, Kevin Duh, Yuji Matsumoto:
Parsing Chinese Synthetic Words with a Character-based Dependency Model. LREC 2014: 67-72
Coauthor Index
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