Xinle Wu
2 indexed papers
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2With code
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226
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AI×2ML×1
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Research Timeline
2026
Planner-Centric Reinforcement Learning for Deep Research with Structure-Aware Reward
The paper proposes DecomposeR, a planner-centric framework that structures deep research into typed Directed Acyclic Graphs (DAGs) to explicitly improve the planning and execution of large language models for complex, multi-branch inquiries.
CARE-RL: Capability-Aware Reinforcement Learning for Mitigating Cross-Domain Conflicts
CARE-RL introduces a framework combining protocol-aware reward generation and capability-aware optimization to effectively mitigate cross-domain conflicts in multi-domain reinforcement learning for LLMs.
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Papers
cs.LGcs.AIRecentMay 30, 2026
CARE-RL: Capability-Aware Reinforcement Learning for Mitigating Cross-Domain Conflicts
CARE-RL introduces a framework combining protocol-aware reward generation and capability-aware optimization to effectively mitigate cross-domain conflicts in multi-domain reinforcement learning for LL…
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cs.AIRecentMay 29, 2026