| 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 | 34 | 2024 |
| COIG-CQIA: Quality is All You Need for Chinese Instruction Fine-tuning Y Bai, X Du, Y Liang, Y Jin, Z Liu, J Zhou, T Zheng, X Zhang, N Ma, ... NAACL 2025 Findings, 2024 | 32* | 2024 |
| Enhancing Noise Robustness of Retrieval-Augmented Language Models with Adaptive Adversarial Training F Fang, Y Bai, S Ni, M Yang, X Chen, R Xu ACL 2024, 2024 | 20 | 2024 |
| 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, ... ICLR 2025, 2024 | 10* | 2024 |
| Mammoth-vl: Eliciting multimodal reasoning with instruction tuning at scale J Guo, T Zheng, Y Bai, B Li, Y Wang, K Zhu, Y Li, G Neubig, W Chen, ... arXiv preprint arXiv:2412.05237, 2024 | 5 | 2024 |
| MoZIP: A Multilingual Benchmark to Evaluate Large Language Models in Intellectual Property S Ni, M Tan, Y Bai, F Niu, M Yang, B Zhang, R Xu, X Chen, C Li, X Hu, ... LREC-COLING 2024, 2024 | 4 | 2024 |
| II-Bench: An Image Implication Understanding Benchmark for Multimodal Large Language Models Z Liu, F Fang, X Feng, X Du, C Zhang, Z Wang, Y Bai, Q Zhao, L Fan, ... NeurIPS 2024 Dataset and Benchmark Track, 2024 | 3 | 2024 |
| DeliLaw: A Chinese Legal Counselling System Based on a Large Language Model N Xie, Y Bai, H Gao, Z Xue, F Fang, Q Zhao, Z Li, L Zhu, S Ni, M Yang Proceedings of the 33rd ACM International Conference on Information and …, 2024 | 2 | 2024 |
| Ruler: A Model-Agnostic Method to Control Generated Length for Large Language Models J Li, L Zhang, Y Li, Z Liu, R Luo, L Chen, M Yang Findings of EMNLP 2024, 2024 | 2 | 2024 |
| SuperGPQA: Scaling LLM Evaluation across 285 Graduate Disciplines X Du, Y Yao, K Ma, B Wang, T Zheng, K Zhu, M Liu, Y Liang, X Jin, Z Wei, ... arXiv preprint arXiv:2502.14739, 2025 | | 2025 |
| DEFT: Distribution-guided Efficient Fine-Tuning for Human Alignment L Zhu, F Fang, Y Bai, L Chen, Z Zhang, M Tan, M Yang Findings of the Association for Computational Linguistics: EMNLP 2024, 15318 …, 2024 | | 2024 |
| Teach Multimodal LLMs to Comprehend Electrocardiographic Images R Liu, Y Bai, X Yue, P Zhang arXiv preprint arXiv:2410.19008, 2024 | | 2024 |
| Can MLLMs Understand the Deep Implication Behind Chinese Images? C Zhang, X Feng, Y Bai, X Du, J Hou, K Deng, G Han, Q Li, B Wang, J Liu, ... arXiv preprint arXiv:2410.13854, 2024 | | 2024 |
