Chengshuai Shi
Scholar

Chengshuai Shi

Google Scholar ID: twvDiW8AAAAJ
Princeton Language and Intelligence
Reinforcement LearningIntelligent Decision-Making
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Citations & Impact
All-time
Citations
539
 
H-index
11
 
i10-index
12
 
Publications
20
 
Co-authors
13
list available
Contact
No contact links provided.
Publications
11 items
Efficient Multi-objective Prompt Optimization via Pure-exploration Bandits
2026
Cited
0
Is One Score Enough? Rethinking the Evaluation of Sequentially Evolving LLM Memory
2026
Cited
0
Continual Harness: Online Adaptation for Self-Improving Foundation Agents
2026
Cited
0
MLS-Bench: A Holistic and Rigorous Assessment of AI Systems on Building Better AI
2026
Cited
0
$f$-Divergence Regularized RLHF: Two Tales of Sampling and Unified Analyses
2026
Cited
0
Odysseus: Scaling VLMs to 100+ Turn Decision-Making in Games via Reinforcement Learning
2026
Cited
0
Greedy Sampling Is Provably Efficient for RLHF
2025
Cited
0
From Cross-Task Examples to In-Task Prompts: A Graph-Based Pseudo-Labeling Framework for In-context Learning
2025
Cited
0
Resume (English only)
Co-authors
13 total
Cong Shen
Cong Shen
Associate Professor, University of Virginia
Jing Yang
Jing Yang
Associate Professor of ECE and CS, University of Virginia
Wei Xiong
Wei Xiong
University of Illinois Urbana-Champaign
Tong Zhang
Tong Zhang
UIUC
Kun Yang
Kun Yang
Google, University of Virginia
Han Zhong
Han Zhong
Peking University
Jundong Li
Jundong Li
Associate Professor, University of Virginia
Chi Jin
Chi Jin
Assistant Professor, Princeton University