Hejian Sang - RankMe

16 papers A* 1Journal 14Unranked 1

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	AriadneMem: Threading the Maze of Lifelong Memory for LLM Agents. CoRR 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
2026	J	`jnl`	Not all tokens are needed(NAT): token efficient reinforcement learning. CoRR Hejian Sang, Yuanda Xu, Zhengze Zhou, Ran He, Zhipeng Wang
2026	J	`jnl`	On-Policy Self-Distillation for Reasoning Compression. CoRR Hejian Sang, Yuanda Xu, Zhengze Zhou, Ran He, Zhipeng Wang, Jiachen Sun
2026	J	`jnl`	Overconfident Errors Need Stronger Correction: Asymmetric Confidence Penalties for Reinforcement Learning. CoRR Yuanda Xu, Hejian Sang, Zhengze Zhou, Ran He, Zhipeng Wang
2026	J	`jnl`	PACED: Distillation and Self-Distillation at the Frontier of Student Competence. CoRR Yuanda Xu, Hejian Sang, Zhengze Zhou, Ran He, Zhipeng Wang
2026	J	`jnl`	Scaling In-Context Online Learning Capability of LLMs via Cross-Episode Meta-RL. CoRR Xiaofeng Lin, Sirou Zhu, Yilei Chen, Mingyu Chen, Hejian Sang, Ioannis Paschalidis, Zhipeng Wang, Aldo Pacchiano, Xuezhou Zhang
2025	J	`jnl`	Aligning Diffusion Language Models via Unpaired Preference Optimization. CoRR Vaibhav Jindal, Hejian Sang, Chun-Mao Lai, Yanning Chen, Zhipeng Wang
2025	J	`jnl`	Debunk the Myth of SFT Generalization. CoRR Xiaofeng Lin, Hejian Sang, Zhipeng Wang, Xuezhou Zhang
2025	J	`jnl`	Distilling the Essence: Efficient Reasoning Distillation via Sequence Truncation. CoRR Wei-Rui Chen, Vignesh Kothapalli, Ata Fatahi Baarzi, Hejian Sang, Shao Tang, Qingquan Song, Zhipeng Wang, Muhammad Abdul-Mageed
2025	J	`jnl`	Efficient AI in Practice: Training and Deployment of Efficient LLMs for Industry Applications. CoRR 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
2025	J	`jnl`	Planner-R1: Reward Shaping Enables Efficient Agentic RL with Smaller LLMs. CoRR Siyu Zhu, Yanbin Jiang, Hejian Sang, Shao Tang, Qingquan Song, Biao He, Rohit Jain, Zhipeng Wang, Alborz Geramifard
2025	A*	`conf`	PrefillOnly: An Inference Engine for Prefill-only Workloads in Large Language Model Applications. SOSP Kuntai Du, Bowen Wang, Chen Zhang, Yiming Cheng, Qing Lan, Hejian Sang, Yihua Cheng, Jiayi Yao, Xiaoxuan Liu, Yifan Qiao, Ion Stoica, Junchen Jiang
2025	J	`jnl`	PrefillOnly: An Inference Engine for Prefill-only Workloads in Large Language Model Applications. CoRR Kuntai Du, Bowen Wang, Chen Zhang, Yiming Cheng, Qing Lan, Hejian Sang, Yihua Cheng, Jiayi Yao, Xiaoxuan Liu, Yifan Qiao, Ion Stoica, Junchen Jiang
2025	—	`conf`	Scaling Down, Serving Fast: Compressing and Deploying Efficient LLMs for Recommendation Systems. EMNLP (Industry Track) 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
2025	J	`jnl`	Scaling Up Efficient Small Language Models Serving and Deployment for Semantic Job Search. CoRR 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
2018	J	`jnl`	Adaptive Stochastic Gradient Langevin Dynamics: Taming Convergence and Saddle Point Escape Time. CoRR Hejian Sang, Jia Liu