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2020 – today
- 2025
[c8]Ermo Hua, Biqing Qi, Kaiyan Zhang, Kai Tian, Xingtai Lv, Ning Ding, Bowen Zhou:
Intuitive Fine-Tuning: Towards Simplifying Alignment into a Single Process. ACL (1) 2025: 121-136- [c7]Ning Ding, Yulin Chen, Ganqu Cui, Xingtai Lv, Weilin Zhao, Kaiyan Zhang, Ruobing Xie, Bowen Zhou, Zhiyuan Liu, Maosong Sun:
Fusing Highly Specialized Language Models for Comprehensive Expertise. ACL (1) 2025: 854-878 - [c6]Kaiyan Zhang, Jiayuan Zhang, Haoxin Li, Xuekai Zhu, Ermo Hua, Xingtai Lv, Ning Ding, Biqing Qi, Bowen Zhou:
OpenPRM: Building Open-domain Process-based Reward Models with Preference Trees. ICLR 2025 - [i16]Ganqu Cui, Lifan Yuan, Zefan Wang, Hanbin Wang, Wendi Li, Bingxiang He, Yuchen Fan, Tianyu Yu, Qixin Xu, Weize Chen, Jiarui Yuan, Huayu Chen, Kaiyan Zhang, Xingtai Lv, Shuo Wang, Yuan Yao, Xu Han, Hao Peng, Yu Cheng, Zhiyuan Liu, Maosong Sun, Bowen Zhou, Ning Ding:
Process Reinforcement through Implicit Rewards. CoRR abs/2502.01456 (2025) - [i15]Xingtai Lv, Youbang Sun, Kaiyan Zhang, Shang Qu, Xuekai Zhu, Yuchen Fan, Yi Wu, Ermo Hua, Xinwei Long, Ning Ding, Bowen Zhou:
Technologies on Effectiveness and Efficiency: A Survey of State Spaces Models. CoRR abs/2503.11224 (2025) - [i14]Shang Qu, Ning Ding, Linhai Xie, Yifei Li, Zaoqu Liu, Kaiyan Zhang, Yibai Xiong, Yuxin Zuo, Zhangren Chen, Ermo Hua, Xingtai Lv, Youbang Sun, Yang Li, Dong Li, Fuchu He, Bowen Zhou:
Automating Exploratory Multiomics Research via Language Models. CoRR abs/2506.07591 (2025) - [i13]Xingtai Lv, Yuxin Zuo, Youbang Sun, Hongyi Liu, Yuntian Wei, Zhekai Chen, Lixuan He, Xuekai Zhu, Kaiyan Zhang, Bingning Wang, Ning Ding, Bowen Zhou:
Towards a Unified View of Large Language Model Post-Training. CoRR abs/2509.04419 (2025) - [i12]Kaiyan Zhang, Yuxin Zuo, Bingxiang He, Youbang Sun, Runze Liu, Che Jiang, Yuchen Fan, Kai Tian, Guoli Jia, Pengfei Li, Yu Fu, Xingtai Lv, Yuchen Zhang, Sihang Zeng, Shang Qu, Haozhan Li, Shijie Wang, Yuru Wang, Xinwei Long, Fangfu Liu, Xiang Xu, Jiaze Ma, Xuekai Zhu, Ermo Hua, Yihao Liu, Zonglin Li, Huayu Chen, Xiaoye Qu, Yafu Li, Weize Chen, Zhenzhao Yuan, Junqi Gao, Dong Li, Zhiyuan Ma, Ganqu Cui, Zhiyuan Liu, Biqing Qi, Ning Ding, Bowen Zhou:
A Survey of Reinforcement Learning for Large Reasoning Models. CoRR abs/2509.08827 (2025) - [i11]Xuekai Zhu, Daixuan Cheng, Dinghuai Zhang, Hengli Li, Kaiyan Zhang, Che Jiang, Youbang Sun, Ermo Hua, Yuxin Zuo, Xingtai Lv, Qizheng Zhang, Lin Chen, Fanghao Shao, Bo Xue, Yunchong Song, Zhenjie Yang, Ganqu Cui, Ning Ding, Jianfeng Gao, Xiaodong Liu, Bowen Zhou, Hongyuan Mei, Zhouhan Lin:
FlowRL: Matching Reward Distributions for LLM Reasoning. CoRR abs/2509.15207 (2025) - 2024
- [c5]Xingtai Lv, Ning Ding, Kaiyan Zhang, Ermo Hua, Ganqu Cui, Bowen Zhou:
Scalable Efficient Training of Large Language Models with Low-dimensional Projected Attention. EMNLP 2024: 14588-14599 - [c4]Kaiyan Zhang, Sihang Zeng, Ermo Hua, Ning Ding, Zhang-Ren Chen, Zhiyuan Ma, Haoxin Li, Ganqu Cui, Biqing Qi, Xuekai Zhu, Xingtai Lv, Jinfang Hu, Zhiyuan Liu, Bowen Zhou:
UltraMedical: Building Specialized Generalists in Biomedicine. NeurIPS 2024 - [i10]Ning Ding, Yulin Chen, Ganqu Cui, Xingtai Lv, Weilin Zhao, Ruobing Xie, Bowen Zhou, Zhiyuan Liu, Maosong Sun:
Mastering Text, Code and Math Simultaneously via Fusing Highly Specialized Language Models. CoRR abs/2403.08281 (2024) - [i9]Ermo Hua, Biqing Qi, Kaiyan Zhang, Yue Yu
, Ning Ding, Xingtai Lv, Kai Tian, Bowen Zhou:
Intuitive Fine-Tuning: Towards Simplifying Alignment into a Single Process. CoRR abs/2405.11870 (2024) - [i8]Kaiyan Zhang, Sihang Zeng, Ermo Hua, Ning Ding, Zhang-Ren Chen, Zhiyuan Ma, Haoxin Li, Ganqu Cui, Biqing Qi, Xuekai Zhu, Xingtai Lv, Jinfang Hu, Zhiyuan Liu, Bowen Zhou:
UltraMedical: Building Specialized Generalists in Biomedicine. CoRR abs/2406.03949 (2024) - [i7]Kaiyan Zhang, Jianyu Wang, Ning Ding, Biqing Qi, Ermo Hua, Xingtai Lv, Bowen Zhou:
Fast and Slow Generating: An Empirical Study on Large and Small Language Models Collaborative Decoding. CoRR abs/2406.12295 (2024) - [i6]Xingtai Lv, Ning Ding, Kaiyan Zhang, Ermo Hua, Ganqu Cui, Bowen Zhou:
Scalable Efficient Training of Large Language Models with Low-dimensional Projected Attention. CoRR abs/2411.02063 (2024) - [i5]Ning Ding, Shang Qu, Linhai Xie, Yifei Li, Zaoqu Liu, Kaiyan Zhang, Yibai Xiong, Yuxin Zuo, Zhangren Chen, Ermo Hua, Xingtai Lv, Youbang Sun, Yang Li, Dong Li, Fuchu He, Bowen Zhou:
Automating Exploratory Proteomics Research via Language Models. CoRR abs/2411.03743 (2024) - [i4]Xuekai Zhu, Daixuan Cheng, Hengli Li, Kaiyan Zhang, Ermo Hua, Xingtai Lv, Ning Ding, Zhouhan Lin, Zilong Zheng, Bowen Zhou:
How to Synthesize Text Data without Model Collapse? CoRR abs/2412.14689 (2024) - [i3]Ermo Hua, Che Jiang, Xingtai Lv, Kaiyan Zhang, Ning Ding, Youbang Sun, Biqing Qi, Yuchen Fan, Xuekai Zhu, Bowen Zhou:
Fourier Position Embedding: Enhancing Attention's Periodic Extension for Length Generalization. CoRR abs/2412.17739 (2024) - 2023
- [c3]Xingtai Lv, Ning Ding, Yujia Qin, Zhiyuan Liu, Maosong Sun:
Parameter-efficient Weight Ensembling Facilitates Task-level Knowledge Transfer. ACL (2) 2023: 270-282 - [c2]Shengding Hu, Ning Ding, Weilin Zhao, Xingtai Lv, Zhen Zhang, Zhiyuan Liu, Maosong Sun:
OpenDelta: A Plug-and-play Library for Parameter-efficient Adaptation of Pre-trained Models. ACL (demo) 2023: 274-281 - [c1]Ning Ding, Xingtai Lv, Qiaosen Wang, Yulin Chen, Bowen Zhou, Zhiyuan Liu, Maosong Sun:
Sparse Low-rank Adaptation of Pre-trained Language Models. EMNLP 2023: 4133-4145 - [i2]Shengding Hu, Ning Ding, Weilin Zhao, Xingtai Lv, Zhen Zhang, Zhiyuan Liu, Maosong Sun:
OpenDelta: A Plug-and-play Library for Parameter-efficient Adaptation of Pre-trained Models. CoRR abs/2307.03084 (2023) - [i1]Ning Ding, Xingtai Lv, Qiaosen Wang, Yulin Chen, Bowen Zhou, Zhiyuan Liu, Maosong Sun:
Sparse Low-rank Adaptation of Pre-trained Language Models. CoRR abs/2311.11696 (2023)
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