Siren's song in the AI ocean: a survey on hallucination in large language models Y Zhang, Y Li, L Cui, D Cai, L Liu, T Fu, X Huang, E Zhao, Y Zhang, ... arXiv preprint arXiv:2309.01219, 2023 | 397 | 2023 |
An empirical study of catastrophic forgetting in large language models during continual fine-tuning Y Luo, Z Yang, F Meng, Y Li, J Zhou, Y Zhang arXiv preprint arXiv:2308.08747, 2023 | 79 | 2023 |
GLUE-X: Evaluating Natural Language Understanding Models from an Out-of-distribution Generalization Perspective L Yang, S Zhang, L Qin, Y Li, Y Wang, H Liu, J Wang, X Xie, Y Zhang ACL 2023 Findings, 2022 | 48 | 2022 |
On Compositional Generalization of Neural Machine Translation Y Li, Y Yin, Y Chen, Y Zhang ACL 2021, 2021 | 38 | 2021 |
Deepfake text detection in the wild Y Li, Q Li, L Cui, W Bi, L Wang, L Yang, S Shi, Y Zhang ACL 2024, 2023 | 32 | 2023 |
Prompt-Driven Neural Machine Translation Y Li, Y Yin, J Li, Y Zhang ACL 2022 Findings, 2579-2590, 2022 | 23 | 2022 |
Multi-Granularity Optimization for Non-Autoregressive Translation Y Li, L Cui, Y Yin, Y Zhang EMNLP 2022, 2022 | 7 | 2022 |
Categorizing Semantic Representations for Neural Machine Translation Y Yin, Y Li, F Meng, J Zhou, Y Zhang COLING 2022, pages 5227–5239, 2022 | 7 | 2022 |
Understanding In-Context Learning from Repetitions J Yan, J Xu, C Song, C Wu, Y Li, Y Zhang ICLR 2024, 2023 | 6 | 2023 |
Consistency Regularization Training for Compositional Generalization Y Yin, J Zeng, Y Li, F Meng, J Zhou, Y Zhang ACL 2023, 1294-1308, 2023 | 6 | 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, ... ACL 2023, 2023 | 5 | 2023 |
Label Attention Network for Structured Prediction L Cui*, Y Li*, Y Zhang IEEE/ACM Transactions on Audio, Speech, and Language Processing 30, 1235-1248, 2022 | 4 | 2022 |
Explicit Syntactic Guidance for Neural Text Generation Y Li, L Cui, J Yan, Y Yin, W Bi, S Shi, Y Zhang ACL 2023, 2023 | 3 | 2023 |
Potential and Challenges of Model Editing for Social Debiasing J Yan, F Wang, Y Li, Y Zhang arXiv preprint arXiv:2402.13462, 2024 | 1 | 2024 |
LexMatcher: Dictionary-centric Data Collection for LLM-based Machine Translation Y Yin, J Zeng, Y Li, F Meng, Y Zhang arXiv preprint arXiv:2406.01441, 2024 | | 2024 |
On compositional generalization of transformer-based neural machine translation Y Yin, L Fu, Y Li, Y Zhang Information Fusion, 102491, 2024 | | 2024 |
Spotting AI's Touch: Identifying LLM-Paraphrased Spans in Text Y Li*, Z Wang*, L Cui, W Bi, S Shi, Y Zhang ACL 2024 Findings, 2024 | | 2024 |
What Have We Achieved on Non-autoregressive Translation? Y Li*, H Zhang*, J Yan, Y Yin, Y Zhang ACL 2024 Findings, 2024 | | 2024 |
Generating Diverse Criteria On-the-Fly to Improve Point-wise LLM Rankers F Guo, W Li, H Zhuang, Y Luo, Y Li, L Yan, Y Zhang arXiv preprint arXiv:2404.11960, 2024 | | 2024 |
Sentence-State LSTMs For Sequence-to-Sequence Learning X Bai, Y Li, Z Zhang, M Xu, B Chen, W Luo, D Wong, Y Zhang NLPCC 2021, 104-115, 2021 | | 2021 |