Jianhao Yan

According to our database, Jianhao Yan authored at least 29 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

ELICIT: LLM Augmentation via External In-Context Capability.

Futing Wang, Jianhao Yan, Yue Zhang, Tao Lin

CoRR, 2024

Keys to Robust Edits: from Theoretical Insights to Practical Advances.

Jianhao Yan, Futing Wang, Yun Luo, Yafu Li, Yue Zhang

CoRR, 2024

See What LLMs Cannot Answer: A Self-Challenge Framework for Uncovering LLM Weaknesses.

Yulong Chen, Yang Liu, Jianhao Yan, Xuefeng Bai, Ming Zhong, Yinghao Yang, Ziyi Yang, Chenguang Zhu, Yue Zhang

CoRR, 2024

GPT-4 vs. Human Translators: A Comprehensive Evaluation of Translation Quality Across Languages, Domains, and Expertise Levels.

Jianhao Yan, Pingchuan Yan, Yulong Chen, Judy Li, Xianchao Zhu, Yue Zhang

CoRR, 2024

RefuteBench: Evaluating Refuting Instruction-Following for Large Language Models.

Jianhao Yan, Yun Luo, Yue Zhang

CoRR, 2024

Potential and Challenges of Model Editing for Social Debiasing.

Jianhao Yan, Futing Wang, Yafu Li, Yue Zhang

CoRR, 2024

Understanding In-Context Learning from Repetitions.

Jianhao Yan, Jin Xu, Chiyu Song, Chenming Wu, Yafu Li, Yue Zhang

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Empirical Prior for Text Autoencoders.

Yongjing Yin, Wenyang Gao, Haodong Wu, Jianhao Yan, Yue Zhang

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

DC-MBR: Distributional Cooling for Minimum Bayesian Risk Decoding.

Jianhao Yan, Jin Xu, Fandong Meng, Jie Zhou, Yue Zhang

Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

RefuteBench: Evaluating Refuting Instruction-Following for Large Language Models.

Jianhao Yan, Yun Luo, Yue Zhang

Proceedings of the Findings of the Association for Computational Linguistics, 2024

What Have We Achieved on Non-autoregressive Translation?

Yafu Li, Huajian Zhang, Jianhao Yan, Yongjing Yin, Yue Zhang

Proceedings of the Findings of the Association for Computational Linguistics, 2024

2023

Dynamics of Instruction Tuning: Each Ability of Large Language Models Has Its Own Growth Pace.

Chiyu Song, Zhanchao Zhou, Jianhao Yan, Yuejiao Fei, Zhenzhong Lan, Yue Zhang

CoRR, 2023

Revisiting Cross-Lingual Summarization: A Corpus-based Study and A New Benchmark with Improved Annotation.

Yulong Chen, Huajian Zhang, Yijie Zhou, Xuefeng Bai, Yueguan Wang, Ming Zhong, Jianhao Yan, Yafu Li, Judy Li, Michael Zhu, Yue Zhang

CoRR, 2023

Non-Autoregressive Document-Level Machine Translation.

Guangsheng Bao, Zhiyang Teng, Hao Zhou, Jianhao Yan, Yue Zhang

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Explicit Syntactic Guidance for Neural Text Generation.

Yafu Li, Leyang Cui, Jianhao Yan, Yongjing Yin, Wei Bi, Shuming Shi, Yue Zhang

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

Revisiting Cross-Lingual Summarization: A Corpus-based Study and A New Benchmark with Improved Annotation.

Yulong Chen, Huajian Zhang, Yijie Zhou, Xuefeng Bai, Yueguan Wang, Ming Zhong, Jianhao Yan, Yafu Li, Judy Li, Xianchao Zhu, Yue Zhang

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

2022

Affective word embedding in affective explanation generation for fine art paintings.

Jianhao Yan, Wenmin Wang, Cheng Yu

Pattern Recognit. Lett., 2022

Probing Causes of Hallucinations in Neural Machine Translations.

Jianhao Yan, Fandong Meng, Jie Zhou

CoRR, 2022

Learning to Break the Loop: Analyzing and Mitigating Repetitions for Neural Text Generation.

Jin Xu, Xiaojiang Liu, Jianhao Yan, Deng Cai, Huayang Li, Jian Li

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Digging Errors in NMT: Evaluating and Understanding Model Errors from Partial Hypothesis Space.

Jianhao Yan, Chenming Wu, Fandong Meng, Jie Zhou

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

2021

Rethinking the Evaluation of Neural Machine Translation.

Jianhao Yan, Chenming Wu, Fandong Meng, Jie Zhou

CoRR, 2021

Selective Knowledge Distillation for Neural Machine Translation.

Fusheng Wang, Jianhao Yan, Fandong Meng, Jie Zhou

Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

2020

Dual Past and Future for Neural Machine Translation.

Jianhao Yan, Fandong Meng, Jie Zhou

CoRR, 2020

Learning to Encode Evolutionary Knowledge for Automatic Commenting Long Novels.

Canxiang Yan, Jianhao Yan, Yangyin Xu, Cheng Niu, Jie Zhou

CoRR, 2020

Self-Supervised Animation Synthesis Through Adversarial Training.

Cheng Yu, Wenmin Wang, Jianhao Yan

IEEE Access, 2020

WeChat Neural Machine Translation Systems for WMT20.

Fandong Meng, Jianhao Yan, Yijin Liu, Yuan Gao, Xianfeng Zeng, Qinsong Zeng, Peng Li, Ming Chen, Jie Zhou, Sifan Liu, Hao Zhou

Proceedings of the Fifth Conference on Machine Translation, 2020

Multi-Unit Transformers for Neural Machine Translation.

Jianhao Yan, Fandong Meng, Jie Zhou

Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

A Sentiment-Controllable Topic-to-Essay Generator with Topic Knowledge Graph.

Lin Qiao, Jianhao Yan, Fandong Meng, Zhendong Yang, Jie Zhou

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020

2019

Relation Extraction with Temporal Reasoning Based on Memory Augmented Distant Supervision.

Jianhao Yan, Lin He, Ruqin Huang, Jian Li, Ying Liu

Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019