Mo Li

@misc{li2026learningcommitgeneratingorganic,
  title = {Learning to Commit: Next-Commit Prediction via Online Supervised Contrastive Reflection},
  author = {Li, Mo and Xu, L. H. and Tan, Qitai and Cao, Ting and Liu, Yunxin},
  year = {2026},
  eprint = {2603.26664},
  archiveprefix = {arXiv},
  primaryclass = {cs.SE},
  url = {https://arxiv.org/abs/2603.26664},
  journal = {arXiv Preprint}
}

@misc{kimiteam2026kimik25,
  title = {Kimi K2.5: Visual Agentic Intelligence},
  author = {Team, Kimi},
  year = {2026},
  url = {https://github.com/MoonshotAI/Kimi-K2.5},
  journal = {arXiv Preprint}
}

@inproceedings{li2025sculptorempoweringllmscognitive,
  title = {Sculptor: Empowering LLMs with Cognitive Agency via Active Context Management},
  author = {Li, Mo and Xu, L. H. and Tan, Qitai and Ma, Long and Cao, Ting and Liu, Yunxin},
  year = {2026},
  eprint = {2508.04664},
  archiveprefix = {arXiv},
  primaryclass = {cs.CL},
  url = {https://arxiv.org/abs/2508.04664},
  booktitle = {Proceedings of the International Conference on Learning Representations (ICLR)}
}

@article{li2025needlebench,
  title = {NeedleBench: Evaluating {LLM} Retrieval and Reasoning Across Varying Information Densities},
  author = {Li, Mo and Zhang, Songyang and Zhang, Taolin and Duan, Haodong and Liu, Yunxin and Chen, Kai},
  journal = {Transactions on Machine Learning Research (TMLR)},
  issn = {2835-8856},
  year = {2025},
  url = {https://openreview.net/forum?id=cEvmIKsRw0},
}

@inproceedings{tan2025syntsbench,
  title = {Syn{TSB}ench: Rethinking Temporal Pattern Learning in Deep Learning Models for Time Series},
  author = {Tan, Qitai and Chen, Yiyun and Li, Mo and Gu, Ruiwen and Su, Yilin and Zhang, Xiao-Ping},
  booktitle = {Proceedings of Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2025},
  url = {https://openreview.net/forum?id=rNw128KrYU},
}

@inproceedings{yang2025mmsibenchbenchmarkmultiimagespatial,
  title = {MMSI-Bench: A Benchmark for Multi-Image Spatial Intelligence},
  author = {Yang, Sihan and Xu, Runsen and Xie, Yiman and Yang, Sizhe and Li, Mo and Lin, Jingli and Zhu, Chenming and Chen, Xiaochen and Duan, Haodong and Yue, Xiangyu and Lin, Dahua and Wang, Tai and Pang, Jiangmiao},
  year = {2026},
  eprint = {2505.23764},
  archiveprefix = {arXiv},
  primaryclass = {cs.CV},
  url = {https://arxiv.org/abs/2505.23764},
  booktitle = {Proceedings of the International Conference on Learning Representations (ICLR)}
}

@inproceedings{maosongcao-etal-2025-condor,
  title = {Condor: Enhance {LLM} Alignment with Knowledge-Driven Data Synthesis and Refinement},
  author = {Cao, Maosong and Zhang, Taolin and Li, Mo and Zhang, Chuyu and Liu, Yunxin and He, Conghui and Duan, Haodong and Zhang, Songyang and Chen, Kai},
  editor = {Che, Wanxiang and Nabende, Joyce and Shutova, Ekaterina and Pilehvar, Mohammad Taher},
  booktitle = {Proceedings of the Annual Meeting of the Association for Computational Linguistics (ACL)},
  month = jul,
  year = {2025},
  address = {Vienna, Austria},
  publisher = {Association for Computational Linguistics},
  url = {https://aclanthology.org/2025.acl-long.1091/},
  doi = {10.18653/v1/2025.acl-long.1091},
  pages = {22392--22412},
  isbn = {979-8-89176-251-0},
}

@misc{cai2024internlm2technicalreport,
  title = {InternLM2 Technical Report},
  author = {Cai, Zheng and Cao, Maosong and Chen, Haojiong and Chen, Kai and Chen, Keyu and Chen, Xin and Chen, Xun and Chen, Zehui and Chen, Zhi and Chu, Pei and Dong, Xiaoyi and Duan, Haodong and Fan, Qi and Fei, Zhaoye and Gao, Yang and Ge, Jiaye and Gu, Chenya and Gu, Yuzhe and Gui, Tao and Guo, Aijia and Guo, Qipeng and He, Conghui and Hu, Yingfan and Huang, Ting and Jiang, Tao and Jiao, Penglong and Jin, Zhenjiang and Lei, Zhikai and Li, Jiaxing and Li, Jingwen and Li, Linyang and Li, Shuaibin and Li, Wei and Li, Yining and Liu, Hongwei and Liu, Jiangning and Hong, Jiawei and Liu, Kaiwen and Liu, Kuikun and Liu, Xiaoran and Lv, Chengqi and Lv, Haijun and Lv, Kai and Ma, Li and Ma, Runyuan and Ma, Zerun and Ning, Wenchang and Ouyang, Linke and Qiu, Jiantao and Qu, Yuan and Shang, Fukai and Shao, Yunfan and Song, Demin and Song, Zifan and Sui, Zhihao and Sun, Peng and Sun, Yu and Tang, Huanze and Wang, Bin and Wang, Guoteng and Wang, Jiaqi and Wang, Jiayu and Wang, Rui and Wang, Yudong and Wang, Ziyi and Wei, Xingjian and Weng, Qizhen and Wu, Fan and Xiong, Yingtong and Xu, Chao and Xu, Ruiliang and Yan, Hang and Yan, Yirong and Yang, Xiaogui and Ye, Haochen and Ying, Huaiyuan and Yu, Jia and Yu, Jing and Zang, Yuhang and Zhang, Chuyu and Zhang, Li and Zhang, Pan and Zhang, Peng and Zhang, Ruijie and Zhang, Shuo and Zhang, Songyang and Zhang, Wenjian and Zhang, Wenwei and Zhang, Xingcheng and Zhang, Xinyue and Zhao, Hui and Zhao, Qian and Zhao, Xiaomeng and Zhou, Fengzhe and Zhou, Zaida and Zhuo, Jingming and Zou, Yicheng and Qiu, Xipeng and Qiao, Yu and Lin, Dahua},
  year = {2024},
  eprint = {2403.17297},
  archiveprefix = {arXiv},
  primaryclass = {cs.CL},
  url = {https://arxiv.org/abs/2403.17297},
  journal = {arXiv Preprint}
}

@inproceedings{duan2024vlmevalkitopensourcetoolkitevaluating,
  title = {VLMEvalKit: An Open-Source Toolkit for Evaluating Large Multi-Modality Models},
  author = {Duan, Haodong and Fang, Xinyu and Yang, Junming and Zhao, Xiangyu and Qiao, Yuxuan and Li, Mo and Agarwal, Amit and Chen, Zhe and Chen, Lin and Liu, Yuan and Ma, Yubo and Sun, Hailong and Zhang, Yifan and Lu, Shiyin and Wong, Tack Hwa and Wang, Weiyun and Zhou, Peiheng and Li, Xiaozhe and Fu, Chaoyou and Cui, Junbo and Chen, Jixuan and Song, Enxin and Mao, Song and Ding, Shengyuan and Liang, Tianhao and Zhang, Zicheng and Dong, Xiaoyi and Zang, Yuhang and Zhang, Pan and Wang, Jiaqi and Lin, Dahua and Chen, Kai},
  year = {2024},
  eprint = {2407.11691},
  archiveprefix = {arXiv},
  primaryclass = {cs.CV},
  url = {https://arxiv.org/abs/2407.11691},
  booktitle = {Proceedings of the ACM International Conference on Multimedia (ACM MM)}
}

@misc{2023opencompass,
  title = {OpenCompass: A Universal Evaluation Platform for Foundation Models},
  author = {Contributors, OpenCompass},
  url = {https://github.com/open-compass/opencompass},
  year = {2023},
  journal = {Github Repository}
}