Zhiwei Xu
22 papers · 2022–2026 · 9 venues · across top CS/AI venues
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Artificial Intelligence
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multi-agent reinforcement learning
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large language model
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multi-agent system
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cooperative multi-agent
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value decomposition
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latent space
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cooperative learning
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feature learning
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variational inference
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vision transformer
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image retrieval
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uncertainty quantification
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sequential decision making
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contrastive learning
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manifold learning
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consensus learning
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path planning
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sample efficiency
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Papers
Accommodate Knowledge Conflicts in Retrieval-augmented LLMs: Towards Robust Response Generation in the Wild
AAAI 2026
ExtendAttack: Attacking Servers of LRMs via Extending Reasoning
AAAI 2026
Graph of Verification: Structured Verification of LLM Reasoning with Directed Acyclic Graphs
AAAI 2026
Reinforced Efficient Reasoning via Semantically Diverse Exploration
ACL 2026
Bridging the Capability Gap: Joint Alignment Tuning for Harmonizing LLM-based Multi-Agent Systems
EMNLP 2025
DAA*: Deep Angular A Star for Image-based Path Planning
ICCV 2025
Efficient Communication in Multi-Agent Reinforcement Learning with Implicit Consensus Generation
AAAI 2025
Focus on Local: Finding Reliable Discriminative Regions for Visual Place Recognition
AAAI 2025
Let Me Grok for You: Accelerating Grokking via Embedding Transfer from a Weaker Model
ICLR 2025
Reidentify: Context-Aware Identity Generation for Contextual Multi-Agent Reinforcement Learning
ICML 2025
SLIM: Subtrajectory-Level Elimination for More Effective Reasoning
EMNLP 2025
Adversarial Purification with the Manifold Hypothesis
AAAI 2024
Benign Overfitting and Grokking in ReLU Networks for XOR Cluster Data
ICLR 2024
IMPUS: Image Morphing with Perceptually-Uniform Sampling Using Diffusion Models
ICLR 2024
Sequential Asynchronous Action Coordination in Multi-Agent Systems: A Stackelberg Decision Transformer Approach
ICML 2024
Vision Transformer with High Spatial Structure Sensitivity
ACML 2024
Consensus Learning for Cooperative Multi-Agent Reinforcement Learning
AAAI 2023
Dual Self-Awareness Value Decomposition Framework without Individual Global Max for Cooperative MARL
NeurIPS 2023
HAVEN: Hierarchical Cooperative Multi-Agent Reinforcement Learning with Dual Coordination Mechanism
AAAI 2023
Inducing Stackelberg Equilibrium through Spatio-Temporal Sequential Decision-Making in Multi-Agent Reinforcement Learning
IJCAI 2023
Rethinking Label Refurbishment: Model Robustness under Label Noise
AAAI 2023
Mingling Foresight with Imagination: Model-Based Cooperative Multi-Agent Reinforcement Learning
NeurIPS 2022