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Ming Li
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From quantity to quality: Boosting llm performance with self-guided data selection for instruction tuning
M Li, Y Zhang, Z Li, J Chen, L Chen, N Cheng, J Wang, T Zhou, J Xiao
arXiv preprint arXiv:2308.12032, 2023
342023
A survey on knowledge distillation of large language models
X Xu, M Li, C Tao, T Shen, R Cheng, J Li, C Xu, D Tao, T Zhou
arXiv preprint arXiv:2402.13116, 2024
92024
Character-aware sampling and rectification for scene text recognition
M Li, B Fu, Z Zhang, Y Qiao
IEEE Transactions on Multimedia 25, 649-661, 2021
82021
Reflection-tuning: Recycling data for better instruction-tuning
M Li, L Chen, J Chen, S He, T Zhou
NeurIPS 2023 Workshop on Instruction Tuning and Instruction Following, 2023
6*2023
Prca: Fitting black-box large language models for retrieval question answering via pluggable reward-driven contextual adapter
H Yang, Z Li, Y Zhang, J Wang, N Cheng, M Li, J Xiao
arXiv preprint arXiv:2310.18347, 2023
52023
Dual relation network for scene text recognition
M Li, B Fu, H Chen, J He, Y Qiao
IEEE Transactions on Multimedia, 2022
52022
Superfiltering: Weak-to-strong data filtering for fast instruction-tuning
M Li, Y Zhang, S He, Z Li, H Zhao, J Wang, N Cheng, T Zhou
arXiv preprint arXiv:2402.00530, 2024
32024
Less is More: A Lightweight and Robust Neural Architecture for Discourse Parsing
M Li, R Huang
arXiv preprint arXiv:2210.09537, 2022
2*2022
Can llms speak for diverse people? tuning llms via debate to generate controllable controversial statements
M Li, J Chen, L Chen, T Zhou
arXiv preprint arXiv:2402.10614, 2024
12024
Selective reflection-tuning: Student-selected data recycling for llm instruction-tuning
M Li, L Chen, J Chen, S He, J Gu, T Zhou
arXiv preprint arXiv:2402.10110, 2024
12024
Rst-style discourse parsing guided by document-level content structures
M Li, R Huang
arXiv preprint arXiv:2309.04141, 2023
12023
Semi-supervised News Discourse Profiling with Contrastive Learning
M Li, R Huang
arXiv preprint arXiv:2309.11692, 2023
2023
Region-aware Arbitrary-shaped Text Detection with Progressive Fusion
Q Wang, B Fu, M Li, J He, X Peng, Y Qiao
IEEE Transactions on Multimedia, 2022
2022
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Articles 1–13