| MERT: Acoustic music understanding model with large-scale self-supervised training Y Li, R Yuan, G Zhang, Y Ma, X Chen, H Yin, C Lin, A Ragni, E Benetos, ... The Twelfth International Conference on Learning Representations, 2024 | 43 | 2024 |
| Interactive natural language processing Z Wang, G Zhang, K Yang, N Shi, W Zhou, S Hao, G Xiong, Y Li, MY Sim, ... arXiv preprint arXiv:2305.13246, 2023 | 35 | 2023 |
| More robust dense retrieval with contrastive dual learning Y Li, Z Liu, C Xiong, Z Liu Proceedings of the 2021 ACM SIGIR International Conference on Theory of …, 2021 | 25 | 2021 |
| From rumor to genetic mutation detection with explanations: a GAN approach M Cheng, Y Li, S Nazarian, P Bogdan Scientific Reports 11 (1), 5861, 2021 | 23 | 2021 |
| Chinese open instruction generalist: A preliminary release G Zhang, Y Shi, R Liu, R Yuan, Y Li, S Dong, Y Shu, Z Li, Z Wang, C Lin, ... arXiv preprint arXiv:2304.07987, 2023 | 20 | 2023 |
| Map-music2vec: A simple and effective baseline for self-supervised music audio representation learning Y Li, R Yuan, G Zhang, Y Ma, C Lin, X Chen, A Ragni, H Yin, Z Hu, H He, ... arXiv preprint arXiv:2212.02508, 2022 | 16 | 2022 |
| HERB: Measuring hierarchical regional bias in pre-trained language models Y Li, G Zhang, B Yang, C Lin, S Wang, A Ragni, J Fu Findings of AACL-IJCNLP 2022, 334–346, 2022 | 14 | 2022 |
| Lyricwhiz: Robust multilingual zero-shot lyrics transcription by whispering to chatgpt L Zhuo, R Yuan, J Pan, Y Ma, Y LI, G Zhang, S Liu, R Dannenberg, J Fu, ... ISMIR 2023, 2023 | 10 | 2023 |
| TranSHER: Translating Knowledge Graph Embedding with Hyper-Ellipsoidal Restriction Y Li, W Fan, C Liu, C Lin, J Qian EMNLP 2022, 8517–8528, 2022 | 10 | 2022 |
| Chatmusician: Understanding and generating music intrinsically with llm R Yuan, H Lin, Y Wang, Z Tian, S Wu, T Shen, G Zhang, Y Wu, C Liu, ... arXiv preprint arXiv:2402.16153, 2024 | 9 | 2024 |
| MARBLE: Music Audio Representation Benchmark for Universal Evaluation R Yuan, Y Ma, Y Li, G Zhang, X Chen, H Yin, L Zhuo, Y Liu, J Huang, ... NeurIPS 2023, 2023 | 9 | 2023 |
| On the effectiveness of speech self-supervised learning for music Y Ma, R Yuan, Y Li, G Zhang, X Chen, H Yin, C Lin, E Benetos, A Ragni, ... ISMIR 2023, 2023 | 8 | 2023 |
| CORGI-PM: A Chinese Corpus For Gender Bias Probing and Mitigation G Zhang, Y Li, Y Wu, L Zhang, C Lin, J Geng, S Wang, J Fu arXiv preprint arXiv:2301.00395, 2023 | 6 | 2023 |
| Large-scale pretrained model for self-supervised music audio representation learning Y Li, R Yuan, G Zhang, Y Ma, C Lin, X Chen, A Ragni, H Yin, Z Hu, H He, ... | 4 | 2022 |
| Map-neo: Highly capable and transparent bilingual large language model series G Zhang, S Qu, J Liu, C Zhang, C Lin, CL Yu, D Pan, E Cheng, J Liu, ... arXiv preprint arXiv:2405.19327, 2024 | 3 | 2024 |
| Length is a Curse and a Blessing for Document-level Semantics C Xiao, Y Li, GT Hudson, C Lin, NA Moubayed EMNLP 2023, 2023 | 3 | 2023 |
| Mupt: A generative symbolic music pretrained transformer X Qu, Y Bai, Y Ma, Z Zhou, KM Lo, J Liu, R Yuan, L Min, X Liu, T Zhang, ... arXiv preprint arXiv:2404.06393, 2024 | 2 | 2024 |
| SciMMIR: Benchmarking Scientific Multi-modal Information Retrieval S Wu, Y Li, K Zhu, G Zhang, Y Liang, K Ma, C Xiao, H Zhang, B Yang, ... arXiv preprint arXiv:2401.13478, 2024 | 2 | 2024 |
| ComposerX: Multi-Agent Symbolic Music Composition with LLMs Q Deng, Q Yang, R Yuan, Y Huang, Y Wang, X Liu, Z Tian, J Pan, ... arXiv preprint arXiv:2404.18081, 2024 | 1 | 2024 |
| CodeEditorBench: Evaluating Code Editing Capability of Large Language Models J Guo, Z Li, X Liu, K Ma, T Zheng, Z Yu, D Pan, Y Li, R Liu, Y Wang, S Guo, ... arXiv preprint arXiv:2404.03543, 2024 | 1 | 2024 |
Chenghua LinProfessor of Natural Language Processing, University of ManchesterVerified email at manchester.ac.uk
