Zhihan Liu
11 papers · 2022–2026 · 5 conferences · across top CS/AI conferences
Achievements
Jump to papers ↓+3 more ↓ Show less ↑
π Cross-Pollinator (15) πΊοΈ Taxonomy Completionist (16) π§ Keyword Pioneer π Conference Polyglot (4) π Renaissance Researcher (5)
π
Interdisciplinary Bridge
π
Triple Crown
π
Century Club
(10)
Conferences
ICML (5)
ICLR (2)
NIPS (2)
ACL (1)
EMNLP (1)
Top co-authors
Keywords
reinforcement learning from human feedback
(2)
sublinear regret
(2)
adversarial learning
(1)
offline reinforcement learning
(1)
policy optimization
(1)
game theory
(1)
direct preference optimization
(1)
language model alignment
(1)
markov decision process
(1)
model alignment
(1)
nash equilibrium
(1)
model-based reinforcement learning
(1)
linear function approximation
(1)
regret bound
(1)
reward model
(1)
welfare maximization
(1)
model-free reinforcement learning
(1)
adversarial agent
(1)
retrieval-augmented generation
(1)
competitive equilibrium
(1)
Papers
Detecting RAG Extraction Attack via Dual-Path Runtime Integrity Game
ACL 2026
Toward Optimal LLM Alignments Using Two-Player Games
EMNLP 2025
BRiTE: Bootstrapping Reinforced Thinking Process to Enhance Language Model Reasoning
ICML 2025
Reward-Augmented Data Enhances Direct Preference Alignment of LLMs
ICML 2025
Provably Mitigating Overoptimization in RLHF: Your SFT Loss is Implicitly an Adversarial Regularizer
NIPS 2024
Reason for Future, Act for Now: A Principled Architecture for Autonomous LLM Agents
ICML 2024
Sample-Efficient Multi-Agent RL: An Optimization Perspective
ICLR 2024
Maximize to Explore: One Objective Function Fusing Estimation, Planning, and Exploration
NIPS 2023
Guarded Policy Optimization with Imperfect Online Demonstrations
ICLR 2023
Learning from Demonstration: Provably Efficient Adversarial Policy Imitation with Linear Function Approximation
ICML 2022
Welfare Maximization in Competitive Equilibrium: Reinforcement Learning for Markov Exchange Economy
ICML 2022