Jason Klein Liu

According to our database, Jason Klein Liu authored at least 11 papers between 2024 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Beyond N-gram: Data-Aware X-GRAM Extraction for Efficient Embedding Parameter Scaling.

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

CoRR, April, 2026

Controlled LLM Training on Spectral Sphere.

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

CoRR, January, 2026

Polymorphic Universal Transformer.

Yilong Chen, Zitian Gao, Yihao Xiao, Jason Klein Liu, Xinyu Yang, Yifan Luo, Haoming Luo, Zhengmao Ye, Tingwen Liu, Ran Tao, Bryan Dai

Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2026

2025

What Makes Diffusion Language Models Super Data Learners?

Zitian Gao, Haoming Luo, Lynx Chen, Jason Klein Liu, Ran Tao, Joey Zhou, Bryan Dai

CoRR, October, 2025

Rethinking KL Regularization in RLHF: From Value Estimation to Gradient Optimization.

Kezhao Liu, Jason Klein Liu, Mingtao Chen, Yiming Liu

CoRR, October, 2025

The Choice of Divergence: A Neglected Key to Mitigating Diversity Collapse in Reinforcement Learning with Verifiable Reward.

Long Li, Jiaran Hao, Jason Klein Liu, Zhijian Zhou, Xiaoyu Tan, Wei Chu, Zhe Wang, Shirui Pan, Chao Qu, Yuan Qi

CoRR, September, 2025

LeetCodeDataset: A Temporal Dataset for Robust Evaluation and Efficient Training of Code LLMs.

Yunhui Xia, Wei Shen, Yan Wang, Jason Klein Liu, Huifeng Sun, Siyue Wu, Jian Hu, Xiaolong Xu

CoRR, April, 2025

AdaptiveStep: Automatically Dividing Reasoning Step through Model Confidence.

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

Proceedings of the Forty-second International Conference on Machine Learning, 2025

OpenRLHF: A Ray-based Easy-to-use, Scalable and High-performance RLHF Framework.

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

Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025

OpenCoder: The Open Cookbook for Top-Tier Code Large Language Models.

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

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

2024

OpenCoder: The Open Cookbook for Top-Tier Code Large Language Models.

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

CoRR, 2024