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Chengchun Shi
Scholar

Chengchun Shi

Google Scholar ID: dDGy3N0AAAAJ
London School of Economics and Political Science
Large Language ModelsReinforcement LearningStatistics
Homepage↗Google Scholar↗
Citations & Impact
All-time
Citations
1,528
 
H-index
21
 
i10-index
36
 
Publications
20
 
Co-authors
83
list available
Publications
37 items
Can Tabular Foundation Models Amortize Statistical Inference?
2026
Cited
0
Sparse Additive Off-Policy Evaluation for Reinforcement Learning with Potentially Limited Number of Trajectories
2026
Cited
0
A Distribution Mapping Approach to Counterfactually Fair Reinforcement Learning
2026
Cited
0
Detecting LLM-Generated Tokens in Human--LLM Coauthored Text
2026
Cited
0
Global Average Treatment Effects for Individualized Randomization Experiments with Aggregate Data
2026
Cited
0
BASIS: Batchwise Advantage Estimation from Single-Rollout Information Sharing for LLM Reasoning
2026
Cited
0
Counterfactually Safe Reinforcement Learning
2026
Cited
0
READER: Reasoning-Enhanced AI-Generated Text Detection
2026
Cited
0
Co-authors
12 total
Rui Song
Rui Song
North Carolina State University
Hongtu Zhu
Hongtu Zhu
Kenan Distinguished Professor, The University of North Carolina at Chapel Hill
Lexin Li
Lexin Li
Professor of Biostatistics, University of California, Berkeley
Jin Zhu
Jin Zhu
School of Mathematics, University of Birmingham
Zhenke Wu
Zhenke Wu
Associate Professor of Biostatistics (with tenure), University of Michigan
Masatoshi Uehara
Masatoshi Uehara
EvolutionaryScale
Jieping Ye, IEEE Fellow & ACM Distinguished Member
Jieping Ye, IEEE Fellow & ACM Distinguished Member
Alibaba Group
Nathan Kallus
Nathan Kallus
Cornell University