Fei Cheng
Orcid: 0000-0001-5161-0544Affiliations:
- Kyoto University, Department of Intelligence Science and Technology, Japan
- National Institute of Informatics, Tokyo, Japan (2016-2019)
- Nara Institute of Science and Technology, Japan (PhD 2016)
According to our database1,
Fei Cheng
authored at least 44 papers
between 2014 and 2024.
Collaborative distances:
Collaborative distances:
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Bibliography
2024
Investigating Cost-Efficiency of LLM-Generated Training Data for Conversational Semantic Frame Analysis.
CoRR, 2024
CoRR, 2024
LLM-jp: A Cross-organizational Project for the Research and Development of Fully Open Japanese LLMs.
CoRR, 2024
CoRR, 2024
AcTED: Automatic Acquisition of Typical Event Duration for Semi-supervised Temporal Commonsense QA.
CoRR, 2024
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024
Rapidly Developing High-quality Instruction Data and Evaluation Benchmark for Large Language Models with Minimal Human Effort: A Case Study on Japanese.
Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024
An Empirical Study of Synthetic Data Generation for Implicit Discourse Relation Recognition.
Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024
Reformulating Domain Adaptation of Large Language Models as Adapt-Retrieve-Revise: A Case Study on Chinese Legal Domain.
Proceedings of the Findings of the Association for Computational Linguistics, 2024
2023
CoRR, 2023
Comprehensive Solution Program Centric Pretraining for Table-and-Text Hybrid Numerical Reasoning.
CoRR, 2023
Proceedings of the IEEE International Conference on Acoustics, 2023
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023
Proceedings of the Findings of the Association for Computational Linguistics: EACL 2023, 2023
ComSearch: Equation Searching with Combinatorial Strategy for Solving Math Word Problems with Weak Supervision.
Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics, 2023
MultiTool-CoT: GPT-3 Can Use Multiple External Tools with Chain of Thought Prompting.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), 2023
2022
IEEE ACM Trans. Audio Speech Lang. Process., 2022
CoRR, 2022
Improving Event Duration Question Answering by Leveraging Existing Temporal Information Extraction Data.
Proceedings of the Thirteenth Language Resources and Evaluation Conference, 2022
JaMIE: A Pipeline Japanese Medical Information Extraction System with Novel Relation Annotation.
Proceedings of the Thirteenth Language Resources and Evaluation Conference, 2022
Seeking Diverse Reasoning Logic: Controlled Equation Expression Generation for Solving Math Word Problems.
Proceedings of the 2nd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 12th International Joint Conference on Natural Language Processing, 2022
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022
2021
Cross-lingual Adaption Model-Agnostic Meta-Learning for Natural Language Understanding.
CoRR, 2021
OCHADAI-KYODAI at SemEval-2021 Task 1: Enhancing Model Generalization and Robustness for Lexical Complexity Prediction.
CoRR, 2021
OCHADAI-KYOTO at SemEval-2021 Task 1: Enhancing Model Generalization and Robustness for Lexical Complexity Prediction.
Proceedings of the 15th International Workshop on Semantic Evaluation, 2021
Proceedings of the 35th Pacific Asia Conference on Language, Information and Computation, 2021
Dependency Enhanced Contextual Representations for Japanese Temporal Relation Classification.
Proceedings of the 35th Pacific Asia Conference on Language, Information and Computation, 2021
2020
Pre-training via Leveraging Assisting Languages and Data Selection for Neural Machine Translation.
CoRR, 2020
Proceedings of the 5th Workshop on Representation Learning for NLP, 2020
Towards a Versatile Medical-Annotation Guideline Feasible Without Heavy Medical Knowledge: Starting From Critical Lung Diseases.
Proceedings of The 12th Language Resources and Evaluation Conference, 2020
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020
Dynamically Updating Event Representations for Temporal Relation Classification with Multi-category Learning.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020
Proceedings of the 1st Workshop on NLP for COVID-19@ EMNLP 2020, Online, December 2020, 2020
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics: Student Research Workshop, 2020
2018
Automatic Error Correction on Japanese Functional Expressions Using Character-based Neural Machine Translation.
Proceedings of the 32nd Pacific Asia Conference on Language, Information and Computation, 2018
Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2018
2017
Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics, 2017
2015
ACM Trans. Asian Low Resour. Lang. Inf. Process., 2015
Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing of the Asian Federation of Natural Language Processing, 2015
2014
Proceedings of the Ninth International Conference on Language Resources and Evaluation, 2014