Shao Tang

According to our database, Shao Tang authored at least 11 papers between 2020 and 2025.

Collaborative distances:

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

2025

LiDDA: Data Driven Attribution at LinkedIn.

John Bencina, Erkut Aykutlug, Yue Chen, Zerui Zhang, Stephanie Sorenson, Shao Tang, Changshuai Wei

CoRR, May, 2025

On the Robustness of Reward Models for Language Model Alignment.

Jiwoo Hong, Noah Lee, Eunki Kim, Guijin Son, Woojin Chung, Aman Gupta, Shao Tang, James Thorne

CoRR, May, 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 Pillai, Luke Simon

CoRR, February, 2025

LLM Query Scheduling with Prefix Reuse and Latency Constraints.

Gregory Dexter, Shao Tang, Ata Fatahi Baarzi, Qingquan Song, Tejas Dharamsi, Aman Gupta

CoRR, February, 2025

From Features to Transformers: Redefining Ranking for Scalable Impact.

Fedor Borisyuk, Lars Hertel, Ganesh Parameswaran, Gaurav Srivastava, Sudarshan Srinivasa Ramanujam, Borja Ocejo, Peng Du, Andrei Akterskii, Neil Daftary, Shao Tang, Daqi Sun, Qiang Charles Xiao, Deepesh Nathani, Mohit Kothari, Yun Dai, Aman Gupta

CoRR, February, 2025

AlphaPO - Reward shape matters for LLM alignment.

Aman Gupta, Shao Tang, Qingquan Song, Sirou Zhu, Jiwoo Hong, Ankan Saha, Viral Gupta, Noah Lee, Eunki Kim, Jason Zhu, Natesh Pillai, S. Sathiya Keerthi

CoRR, January, 2025

Efficient Algorithms for Leveraging LLMs for Generative and Predictive Recommender Systems.

Kayhan Behdin, Yun Dai, Gregory Dexter, Aman Gupta, Rahul Mazumder, Ankan Saha, Qingquan Song, Shao Tang, Sirou Zhu, Pin-Lun Hsu

Proceedings of the Companion Proceedings of the ACM on Web Conference 2025, 2025

2024

Liger Kernel: Efficient Triton Kernels for LLM Training.

Pin-Lun Hsu, Yun Dai, Vignesh Kothapalli, Qingquan Song, Shao Tang, Siyu Zhu, Steven Shimizu, Shivam Sahni, Haowen Ning, Yanning Chen

CoRR, 2024

2022

On Generalization and Computation of Tukey's Depth: Part II.

Yiyuan She, Shao Tang, Jingze Liu

J. Data Sci. Stat. Vis., 2022

On Generalization and Computation of Tukey's Depth: Part I.

Yiyuan She, Shao Tang, Jingze Liu

J. Data Sci. Stat. Vis., 2022

2020

Indirect Gaussian Graph Learning Beyond Gaussianity.

Yiyuan She, Shao Tang, Qiaoya Zhang

IEEE Trans. Netw. Sci. Eng., 2020