2025
Mapping the Trust Terrain: LLMs in Software Engineering - Insights and Perspectives.
CoRR, March, 2025
Warmup-Distill: Bridge the Distribution Mismatch between Teacher and Student before Knowledge Distillation.
CoRR, February, 2025
Enhancing Cross-Tokenizer Knowledge Distillation with Contextual Dynamical Mapping.
CoRR, February, 2025
Deep Learning for Spectroscopic X-ray Nano-Imaging Denoising.
Adv. Intell. Syst., January, 2025
A long-short-term feature extraction network based on soft-parameter-sharing for high-speed train bogies multi-object fault diagnosis under long-tailed distribution.
Expert Syst. Appl., 2025
LT-OAQ: Learnable Threshold Based Outlier-Aware Quantization and its Energy-Efficient Accelerator for Low-Precision On-Chip Training.
Proceedings of the Design, Automation & Test in Europe Conference, 2025
2024
Dynamical Analysis and Fixed-Time Synchronization for Secure Communication of Hidden Multiscroll Memristive Chaotic System.
IEEE Trans. Circuits Syst. I Regul. Pap., October, 2024
Spatial Feature Enhancement and Attention-Guided Bidirectional Sequential Spectral Feature Extraction for Hyperspectral Image Classification.
Remote. Sens., September, 2024
Beyond Binary Gender: Evaluating Gender-Inclusive Machine Translation with Ambiguous Attitude Words.
CoRR, 2024
Outdated Issue Aware Decoding for Reasoning Questions on Edited Knowledge.
CoRR, 2024
Accelerating Inference in Large Language Models with a Unified Layer Skipping Strategy.
CoRR, 2024
Language Generation with Strictly Proper Scoring Rules.
Proceedings of the Forty-first International Conference on Machine Learning, 2024
Multi-Scale Fusion of Gated Neighborhood Attention Transformers for Single Image Deraining.
Proceedings of the IEEE International Conference on Acoustics, 2024
Towards Multiple References Era - Addressing Data Leakage and Limited Reference Diversity in Machine Translation Evaluation.
Proceedings of the Findings of the Association for Computational Linguistics, 2024
Outdated Issue Aware Decoding for Factual Knowledge Editing.
Proceedings of the Findings of the Association for Computational Linguistics, 2024
LCS: A Language Converter Strategy for Zero-Shot Neural Machine Translation.
Proceedings of the Findings of the Association for Computational Linguistics, 2024
Instruction Position Matters in Sequence Generation with Large Language Models.
Proceedings of the Findings of the Association for Computational Linguistics, 2024
BranchNorm: Robustly Scaling Extremely Deep Transformers.
Proceedings of the Findings of the Association for Computational Linguistics, 2024
Comments as Natural Logic Pivots: Improve Code Generation via Comment Perspective.
Proceedings of the Findings of the Association for Computational Linguistics, 2024
2023
Improving Translation Faithfulness of Large Language Models via Augmenting Instructions.
CoRR, 2023
Instruction Position Matters in Sequence Generation with Large Language Models.
CoRR, 2023
Towards Multiple References Era - Addressing Data Leakage and Limited Reference Diversity in NLG Evaluation.
CoRR, 2023
Subspace Modeling Enabled High-Sensitivity X-Ray Chemical Imaging.
Proceedings of the IEEE International Conference on Acoustics, 2023
2022
Towards Robust Online Dialogue Response Generation.
CoRR, 2022
Subspace modeling for fast and high-sensitivity X-ray chemical imaging.
CoRR, 2022
Conditional Bilingual Mutual Information Based Adaptive Training for Neural Machine Translation.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022
2021
Hyperspectral Image Spectral-Spatial Classification Method Based on Deep Adaptive Feature Fusion.
Remote. Sens., 2021
WeChat Neural Machine Translation Systems for WMT21.
Proceedings of the Sixth Conference on Machine Translation, 2021
Scheduled Sampling Based on Decoding Steps for Neural Machine Translation.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021
Bilingual Mutual Information Based Adaptive Training 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
Prevent the Language Model from being Overconfident in 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
Confidence-Aware Scheduled Sampling for Neural Machine Translation.
Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021
Faster Depth-Adaptive Transformers.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021
2020
Explicitly Modeling Adaptive Depths for Transformer.
CoRR, 2020
Depth-Adaptive Graph Recurrent Network for Text Classification.
CoRR, 2020
Hyperspectral Image Classification Based on Active Learning and Spectral-Spatial Feature Fusion Using Spatial Coordinates.
IEEE Access, 2020
WeChat Neural Machine Translation Systems for WMT20.
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Proceedings of the Fifth Conference on Machine Translation, 2020
2019
CM-Net: A Novel Collaborative Memory Network for Spoken Language Understanding.
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019
GCDT: A Global Context Enhanced Deep Transition Architecture for Sequence Labeling.
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019