Jianhao YAN
Jianhao YAN
Ph.D. at Westlake University; Former researcher at WechatAI; Tsinghua University
Verified email at - Homepage
Cited by
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Selective knowledge distillation for neural machine translation
F Wang*, J Yan*, F Meng, J Zhou
arXiv preprint arXiv:2105.12967, 2021
Learning to break the loop: Analyzing and mitigating repetitions for neural text generation
J Xu, X Liu, J Yan, D Cai, H Li, J Li
Advances in Neural Information Processing Systems 35, 3082-3095, 2022
WeChat Neural Machine Translation Systems for WMT20
F Meng, J Yan, Y Liu, Y Gao, X Zeng, Q Zeng, P Li, M Chen, J Zhou, S Liu, ...
Proceedings of the 5th Conference on Machine Translation (WMT), 2020
Multi-Unit Transformers for Neural Machine Translation
J Yan, F Meng, J Zhou
Proceedings of the 2020 Conference on Empirical Methods in Natural Language …, 2020
A Sentiment-Controllable Topic-to-Essay Generator with Topic Knowledge Graph
L Qiao, J Yan, F Meng, Z Yang, J Zhou
Findings of the Association for Computational Linguistics: EMNLP 2020, 2020
Relation Extraction with Temporal Reasoning based on Memory Augmented Distant Supervision
J Yan, L He, R Huang, J Li, Y Liu
Proceedings of the 2019 Conference of the North American Chapter of the …, 2019
Dynamics of Instruction Tuning: Each Ability of Large Language Models Has Its Own Growth Pace
C Song, Z Zhou, J Yan, Y Fei, Z Lan, Y Zhang
arXiv preprint arXiv:2310.19651, 2023
Understanding In-Context Learning from Repetitions
J Yan, J Xu, C Song, C Wu, Y Li, Y Zhang
ICLR 2024, 2023
Revisiting cross-lingual summarization: A corpus-based study and a new benchmark with improved annotation
Y Chen, H Zhang, Y Zhou, X Bai, Y Wang, M Zhong, J Yan, Y Li, J Li, ...
arXiv preprint arXiv:2307.04018, 2023
Explicit syntactic guidance for neural text generation
Y Li, L Cui, J Yan, Y Yin, W Bi, S Shi, Y Zhang
arXiv preprint arXiv:2306.11485, 2023
Digging Errors in NMT: Evaluating and Understanding Model Errors from Partial Hypothesis Space
J Yan*, C Wu*, F Meng, J Zhou
EMNLP 2022, 2022
Probing causes of hallucinations in neural machine translations
J Yan, F Meng, J Zhou
arXiv preprint arXiv:2206.12529, 2022
Non-Autoregressive Document-Level Machine Translation
G Bao, Z Teng, H Zhou, J Yan, Y Zhang
arXiv preprint arXiv:2305.12878, 2023
Dc-mbr: Distributional cooling for minimum bayesian risk decoding
J Yan, J Xu, F Meng, J Zhou, Y Zhang
arXiv preprint arXiv:2212.04205, 2022
Potential and Challenges of Model Editing for Social Debiasing
J Yan*, F Wang*, Y Li, Y Zhang
arXiv preprint arXiv:2402.13462, 2024
RefuteBench: Evaluating Refuting Instruction-Following for Large Language Models
J Yan*, Y Luo*, Y Zhang
ACL 2024 Findings, 2024
Dual past and future for neural machine translation
J Yan, F Meng, J Zhou
arXiv preprint arXiv:2007.07728, 2020
Learning to Encode Evolutionary Knowledge for Automatic Commenting Long Novels
C Yan, J Yan, Y Xu, C Niu, J Zhou
arXiv preprint arXiv:2004.09974, 2020
GPT-4 vs. Human Translators: A Comprehensive Evaluation of Translation Quality Across Languages, Domains, and Expertise Levels
J Yan, P Yan, Y Chen, J Li, X Zhu, Y Zhang
arXiv preprint arXiv:2407.03658, 2024
What Have We Achieved on Non-autoregressive Translation?
Y Li, H Zhang, J Yan, Y Yin, Y Zhang
arXiv preprint arXiv:2405.12788, 2024
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