Shenzhi Wang
12 papers · 2021–2026 · 7 venues · across top CS/AI venues
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Achievements
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🌉 Interdisciplinary Bridge · Bronze 🌍 Conference Polyglot · Silver 🏃 Academic Marathon · Sprint 🗺️ Taxonomy Completionist (32) 👥 Mega-Team · Squad
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Century Club · Bronze
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Machine Learning
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Natural Language Processing
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Resources & Methods
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Learning Types · Machine Learning
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Reinforcement Learning
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Computer Vision
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Analysis
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Optimization & Theory
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Keywords
large language model
(3)
multimodal large language model
(2)
policy constraint
(2)
offline reinforcement learning
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reward model
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agent system
(2)
reward modeling
(1)
adversarial learning
(1)
contrastive learning
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direct preference optimization
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preference alignment
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data annotation
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efficient inference
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deep learning
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preference learning
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benchmark evaluation
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model alignment
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reinforcement learning from human feedback
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early exit
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feature extraction
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Papers
COIG-P: A High-Quality and Large-Scale Chinese Preference Dataset for Alignment with Human Values
EACL 2026
Outcome Accuracy is Not Enough: Aligning the Reasoning Process of Reward Models
ACL 2026
DiveR-CT: Diversity-enhanced Red Teaming Large Language Model Assistants with Relaxing Constraints
AAAI 2025
Model Surgery: Modulating LLM’s Behavior Via Simple Parameter Editing
NAACL 2025
OS Agents: A Survey on MLLM-based Agents for Computer, Phone and Browser Use
ACL 2025
PopAlign: Diversifying Contrasting Patterns for a More Comprehensive Alignment
ACL 2025
Boosting LLM Agents with Recursive Contemplation for Effective Deception Handling
ACL 2024
DeeR-VLA: Dynamic Inference of Multimodal Large Language Models for Efficient Robot Execution
NeurIPS 2024
PsychoGAT: A Novel Psychological Measurement Paradigm through Interactive Fiction Games with LLM Agents
ACL 2024
Boosting Offline Reinforcement Learning with Action Preference Query
ICML 2023
Train Once, Get a Family: State-Adaptive Balances for Offline-to-Online Reinforcement Learning
NeurIPS 2023
Glancing at the Patch: Anomaly Localization With Global and Local Feature Comparison
CVPR 2021