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- 2026
[c4]Yilong Chen, Zitian Gao, Yihao Xiao, Jason Klein Liu, Xinyu Yang, Yifan Luo, Haoming Luo, Zhengmao Ye, Tingwen Liu, Ran Tao, Bryan Dai:
Polymorphic Universal Transformer. ACL (1) 2026: 39001-39013- [i8]Tian Xie, Haoming Luo, Haoyu Tang, Yiwen Hu, Jason Klein Liu, Qingnan Ren, Yang Wang, Wayne Xin Zhao, Rui Yan, Bing Su, Chong Luo, Baining Guo:
Controlled LLM Training on Spectral Sphere. CoRR abs/2601.08393 (2026) - [i7]Yilong Chen, Yanxi Xie, Zitian Gao, He Xin, Yihao Xiao, Jason Klein Liu, Haoming Luo, Yifan Luo, Zhengmao Ye, Tingwen Liu, Xin Zhao, Ran Tao, Bryan Dai:
Beyond N-gram: Data-Aware X-GRAM Extraction for Efficient Embedding Parameter Scaling. CoRR abs/2604.21724 (2026) - 2025
- [c3]Siming Huang, Tianhao Cheng, Jason Klein Liu, Weidi Xu, Jiaran Hao, Liuyihan Song, Yang Xu, Jian Yang, Jiaheng Liu, Chenchen Zhang
, Linzheng Chai, Ruifeng Yuan, Xianzhen Luo, Qiufeng Wang, YuanTao Fan, Qingfu Zhu, Zhaoxiang Zhang, Yang Gao, Jie Fu, Qian Liu, Houyi Li, Ge Zhang, Yuan Qi, Yinghui Xu, Wei Chu, Zili Wang:
OpenCoder: The Open Cookbook for Top-Tier Code Large Language Models. ACL (1) 2025: 33167-33193 - [c2]Jian Hu, Xibin Wu, Wei Shen, Jason Klein Liu, Weixun Wang, Songlin Jiang, Haoran Wang, Hao Chen, Bin Chen, Wenkai Fang, Xianyu, Yu Cao, Haotian Xu, Yiming Liu:
OpenRLHF: A Ray-based Easy-to-use, Scalable and High-performance RLHF Framework. EMNLP (System Demonstrations) 2025: 656-666 - [c1]Yuliang Liu, Junjie Lu, Chaofeng Qu, Zhaoling Chen, Zefan Cai, Jason Klein Liu, Chonghan Liu, Yunhui Xia, Li Zhao, Jiang Bian, Chuheng Zhang, Wei Shen, Zhouhan Lin:
AdaptiveStep: Automatically Dividing Reasoning Step through Model Confidence. ICML 2025 - [i6]Yuliang Liu, Junjie Lu, Zhaoling Chen, Chaofeng Qu, Jason Klein Liu, Chonghan Liu, Zefan Cai, Yunhui Xia, Li Zhao, Jiang Bian, Chuheng Zhang, Wei Shen, Zhouhan Lin:
AdaptiveStep: Automatically Dividing Reasoning Step through Model Confidence. CoRR abs/2502.13943 (2025) - [i5]Yunhui Xia, Wei Shen, Yan Wang, Jason Klein Liu, Huifeng Sun, Siyue Wu, Jian Hu, Xiaolong Xu:
LeetCodeDataset: A Temporal Dataset for Robust Evaluation and Efficient Training of Code LLMs. CoRR abs/2504.14655 (2025) - [i4]Long Li, Jiaran Hao, Jason Klein Liu, Zhijian Zhou, Xiaoyu Tan, Wei Chu, Zhe Wang, Shirui Pan, Chao Qu, Yuan Qi:
The Choice of Divergence: A Neglected Key to Mitigating Diversity Collapse in Reinforcement Learning with Verifiable Reward. CoRR abs/2509.07430 (2025) - [i3]Kezhao Liu, Jason Klein Liu, Mingtao Chen, Yiming Liu:
Rethinking KL Regularization in RLHF: From Value Estimation to Gradient Optimization. CoRR abs/2510.01555 (2025) - [i2]Zitian Gao, Haoming Luo, Lynx Chen, Jason Klein Liu, Ran Tao, Joey Zhou, Bryan Dai:
What Makes Diffusion Language Models Super Data Learners? CoRR abs/2510.04071 (2025) - 2024
- [i1]Siming Huang, Tianhao Cheng, Jason Klein Liu, Jiaran Hao, Liuyihan Song, Yang Xu, J. Yang, J. H. Liu, Chenchen Zhang, Linzheng Chai, Ruifeng Yuan, Zhaoxiang Zhang, Jie Fu, Qian Liu, Ge Zhang, Zili Wang, Yuan Qi, Yinghui Xu, Wei Chu:
OpenCoder: The Open Cookbook for Top-Tier Code Large Language Models. CoRR abs/2411.04905 (2024)
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