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Co-authors

Tao LINWestlake University | EPFLVerified email at westlake.edu.cn
Maksym AndriushchenkoPostdoctoral Researcher at EPFLVerified email at epfl.ch
Francesco CroceEPFLVerified email at cs.uni-saarland.de
Nicolas FlammarionEPFLVerified email at epfl.ch
Yuejiang LiuPostdoc, StanfordVerified email at stanford.edu
Alexandre AlahiProfessor, EPFLVerified email at epfl.ch

Hao Zhao

Hao Zhao

Verified email at epfl.ch - Homepage

LLMs Alignment Generalization


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
On pitfalls of test-time adaptation H Zhao, Y Liu, A Alahi, T Lin ICML 2023, 2023	57	2023
Long Is More for Alignment: A Simple but Tough-to-Beat Baseline for Instruction Fine-Tuning H Zhao, M Andriushchenko, F Croce, N Flammarion ICML 2024, 2024	26	2024
Is In-Context Learning Sufficient for Instruction Following in LLMs? H Zhao, M Andriushchenko, F Croce, N Flammarion ICLR 2025, 2025	8	2025
A capsnet-based fault diagnosis method for a digital twin of a wind turbine gearbox H Zhao, W Hu, Z Liu, J Tan ASME Power Conference 85109, V001T09A016, 2021	8	2021
Increasing model capacity for free: A simple strategy for parameter efficient fine-tuning H Song, H Zhao, S Majumder, T Lin ICLR 2024, 2024	3	2024

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Articles 1–5