Jianhao Yan

Orcid: 0000-0003-2464-9069

According to our database1, Jianhao Yan authored at least 22 papers between 2019 and 2024.

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Bibliography

2024
RefuteBench: Evaluating Refuting Instruction-Following for Large Language Models.
CoRR, 2024

Potential and Challenges of Model Editing for Social Debiasing.
CoRR, 2024

2023
Dynamics of Instruction Tuning: Each Ability of Large Language Models Has Its Own Growth Pace.
CoRR, 2023

Understanding In-Context Learning from Repetitions.
CoRR, 2023

Revisiting Cross-Lingual Summarization: A Corpus-based Study and A New Benchmark with Improved Annotation.
CoRR, 2023

Non-Autoregressive Document-Level Machine Translation.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Explicit Syntactic Guidance for Neural Text Generation.
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.
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.
Pattern Recognit. Lett., 2022

DC-MBR: Distributional Cooling for Minimum Bayesian Risk Decoding.
CoRR, 2022

Probing Causes of Hallucinations in Neural Machine Translations.
CoRR, 2022

Learning to Break the Loop: Analyzing and Mitigating Repetitions for Neural Text Generation.
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.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

2021
Rethinking the Evaluation of Neural Machine Translation.
CoRR, 2021

Selective Knowledge Distillation for Neural Machine Translation.
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.
CoRR, 2020

Learning to Encode Evolutionary Knowledge for Automatic Commenting Long Novels.
CoRR, 2020

Self-Supervised Animation Synthesis Through Adversarial Training.
IEEE Access, 2020

WeChat Neural Machine Translation Systems for WMT20.
Proceedings of the Fifth Conference on Machine Translation, 2020

Multi-Unit Transformers for Neural Machine Translation.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

A Sentiment-Controllable Topic-to-Essay Generator with Topic Knowledge Graph.
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.
Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019


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