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ORCIDKefan Song
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2020 – today
- 2025
[i3]Kefan Song, Jin Yao
, Runnan Jiang, Rohan Chandra, Shangtong Zhang:
Towards Large Language Models that Benefit for All: Benchmarking Group Fairness in Reward Models. CoRR abs/2503.07806 (2025)- [i2]Kefan Song, Runnan Jiang, Rohan Chandra, Shangtong Zhang:
Group Fairness in Multi-Task Reinforcement Learning. CoRR abs/2503.07817 (2025) - [i1]Kefan Song, Amir Moeini, Peng Wang, Lei Gong, Rohan Chandra, Yanjun Qi, Shangtong Zhang:
Reward Is Enough: LLMs Are In-Context Reinforcement Learners. CoRR abs/2506.06303 (2025) - 2024
- [j1]Kefan Song, Alexander Travis Adams:
Application of microscopic smartphone attachment for remote preoperative lab testing. Frontiers Digit. Health 6 (2024) - [c3]Kefan Song, Sixuan Wu, Ruijia Peng, Jason Cobb, Alexander Travis Adams:
μ-Phone: Accessible Microscope Attachment for Smartphones. BSN 2024: 1-4 - 2022
- [c2]Boyang Xiao, Alireza Alamdar, Kefan Song, Ali Ebrahimi, Peter Gehlbach, Russell H. Taylor, Iulian Iordachita:
Delta Robot Kinematic Calibration for Precise Robot-Assisted Retinal Surgery *. ISMR 2022: 1-7 - 2021
- [c1]Kefan Song, Dimitri A. Lezcano, Ge Sun, Jin Seob Kim, Iulian Iordachita:
Towards Automatic Robotic Calibration System for Flexible Needles with FBG Sensors. ISMR 2021: 1-7
Coauthor Index
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