Hejian Sang

According to our database, Hejian Sang authored at least 18 papers between 2018 and 2026.

Collaborative distances:

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

2026

Beyond GRPO and On-Policy Distillation: An Empirical Sparse-to-Dense Reward Principle for Language-Model Post-Training.

Yuanda Xu, Hejian Sang, Zhengze Zhou, Ran He, Zhipeng Wang, Alborz Geramifard

CoRR, May, 2026

TIP: Token Importance in On-Policy Distillation.

Yuanda Xu, Hejian Sang, Zhengze Zhou, Ran He, Zhipeng Wang, Alborz Geramifard

CoRR, April, 2026

SODA: Semi On-Policy Black-Box Distillation for Large Language Models.

Xiwen Chen, Jingjing Wang, Wenhui Zhu, Peijie Qiu, Xuanzhao Dong, Hejian Sang, Zhipeng Wang, Alborz Geramifard, Feng Luo

CoRR, April, 2026

PACED: Distillation and Self-Distillation at the Frontier of Student Competence.

Yuanda Xu, Hejian Sang, Zhengze Zhou, Ran He, Zhipeng Wang

CoRR, March, 2026

Not all tokens are needed(NAT): token efficient reinforcement learning.

Hejian Sang, Yuanda Xu, Zhengze Zhou, Ran He, Zhipeng Wang

CoRR, March, 2026

On-Policy Self-Distillation for Reasoning Compression.

Hejian Sang, Yuanda Xu, Zhengze Zhou, Ran He, Zhipeng Wang, Jiachen Sun

CoRR, March, 2026

AriadneMem: Threading the Maze of Lifelong Memory for LLM Agents.

Wenhui Zhu, Xiwen Chen, Zhipeng Wang, Jingjing Wang, Xuanzhao Dong, Minzhou Huang, Rui Cai, Hejian Sang, Hao Wang, Peijie Qiu, Yueyue Deng, Prayag Tiwari, Brendan Hogan Rappazzo, Yalin Wang

CoRR, March, 2026

Overconfident Errors Need Stronger Correction: Asymmetric Confidence Penalties for Reinforcement Learning.

Yuanda Xu, Hejian Sang, Zhengze Zhou, Ran He, Zhipeng Wang

CoRR, February, 2026

Scaling In-Context Online Learning Capability of LLMs via Cross-Episode Meta-RL.

Xiaofeng Lin, Sirou Zhu, Yilei Chen, Mingyu Chen, Hejian Sang, Ioannis Paschalidis, Zhipeng Wang, Aldo Pacchiano, Xuezhou Zhang

CoRR, February, 2026

2025

Distilling the Essence: Efficient Reasoning Distillation via Sequence Truncation.

Wei-Rui Chen, Vignesh Kothapalli, Ata Fatahi Baarzi, Hejian Sang, Shao Tang, Qingquan Song, Zhipeng Wang, Muhammad Abdul-Mageed

CoRR, December, 2025

Aligning Diffusion Language Models via Unpaired Preference Optimization.

Vaibhav Jindal, Hejian Sang, Chun-Mao Lai, Yanning Chen, Zhipeng Wang

CoRR, October, 2025

Scaling Up Efficient Small Language Models Serving and Deployment for Semantic Job Search.

Kayhan Behdin, Qingquan Song, Sriram Vasudevan, Jian Sheng, Xiaojing Ma, Z. Zhou, Chuanrui Zhu, Guoyao Li, Chanh Nguyen, Sayan Ghosh, Hejian Sang, Ata Fatahi Baarzi, Sundara Raman Ramachandran, Xiaoqing Wang, Qing Lan, Vinay Y. S, Qi Guo, Caleb Johnson, Zhipeng Wang, Fedor Borisyuk

CoRR, October, 2025

Debunk the Myth of SFT Generalization.

Xiaofeng Lin, Hejian Sang, Zhipeng Wang, Xuezhou Zhang

CoRR, October, 2025

Planner-R1: Reward Shaping Enables Efficient Agentic RL with Smaller LLMs.

Siyu Zhu, Yanbin Jiang, Hejian Sang, Shao Tang, Qingquan Song, Biao He, Rohit Jain, Zhipeng Wang, Alborz Geramifard

CoRR, September, 2025

Efficient AI in Practice: Training and Deployment of Efficient LLMs for Industry Applications.

Kayhan Behdin, Yun Dai, Ata Fatahi Baarzi, Aman Gupta, Qingquan Song, Shao Tang, Hejian Sang, Gregory Dexter, Sirou Zhu, Siyu Zhu, Tejas Dharamsi, Maziar Sanjabi, Vignesh Kothapalli, Hamed Firooz, Zhoutong Fu, Yihan Cao, Pin-Lun Hsu, Fedor Borisyuk, Zhipeng Wang, Rahul Mazumder, Natesh S. Pillai, Luke Simon

CoRR, February, 2025

PrefillOnly: An Inference Engine for Prefill-only Workloads in Large Language Model Applications.

Kuntai Du, Bowen Wang, Chen Zhang, Yiming Cheng, Qing Lan, Hejian Sang, Yihua Cheng, Jiayi Yao, Xiaoxuan Liu, Yifan Qiao, Ion Stoica, Junchen Jiang

Proceedings of the ACM SIGOPS 31st Symposium on Operating Systems Principles, 2025

Scaling Down, Serving Fast: Compressing and Deploying Efficient LLMs for Recommendation Systems.

Kayhan Behdin, Ata Fatahi Baarzi, Qingquan Song, Yun Dai, Aman Gupta, Zhipeng Wang, Hejian Sang, Shao Tang, Gregory Dexter, Sirou Zhu, Siyu Zhu, Tejas Dharamsi, Vignesh Kothapalli, Zhoutong Fu, Yihan Cao, Pin-Lun Hsu, Fedor Borisyuk, Natesh S. Pillai, Luke Simon, Rahul Mazumder

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

2018

Adaptive Stochastic Gradient Langevin Dynamics: Taming Convergence and Saddle Point Escape Time.

Hejian Sang, Jia Liu

CoRR, 2018