Zhaolin Gao
Scholar

Zhaolin Gao

Google Scholar ID: 4ANbX-YAAAAJ
Cornell University
Reinforcement LearningLarge Language ModelNatural Language Processing
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Citations & Impact
All-time
Citations
295
 
H-index
8
 
i10-index
8
 
Publications
14
 
Co-authors
11
list available
Contact
No contact links provided.
Publications
8 items
$p1$: Better Prompt Optimization with Fewer Prompts
2026
Cited
0
Prompt Curriculum Learning for Efficient LLM Post-Training
2025
Cited
0
Pre-trained Large Language Models Learn Hidden Markov Models In-context
2025
Cited
0
Accelerating RL for LLM Reasoning with Optimal Advantage Regression
2025
Cited
0
Value-Guided Search for Efficient Chain-of-Thought Reasoning
2025
Cited
0
$Qsharp$: Provably Optimal Distributional RL for LLM Post-Training
2025
Cited
0
End-to-end Training for Recommendation with Language-based User Profiles
arXiv.org · 2024
Cited
0
Regressing the Relative Future: Efficient Policy Optimization for Multi-turn RLHF
arXiv.org · 2024
Cited
2
Resume (English only)
Co-authors
11 total
Kianté Brantley
Kianté Brantley
Assistant Professor, Harvard University
Wen Sun
Wen Sun
Assistant Professor, Cornell University
Thorsten Joachims
Thorsten Joachims
Professor of Computer Science, Cornell University
Baochun Li
Baochun Li
Professor of Electrical and Computer Engineering, University of Toronto
Jason D. Lee
Jason D. Lee
Associate Professor of EECS & Statistics at UC Berkeley
Wenhao Zhan
Wenhao Zhan
Graduate Student, Princeton University
Gokul Swamy
Gokul Swamy
PhD Candidate, Carnegie Mellon University
Maksims Volkovs
Maksims Volkovs
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