Papers by Dazhi Zhang

1 papers
MARS2: Scaling Multi-Agent Tree Search via Reinforcement Learning for Code Generation (2026.acl-long)

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Challenge: Existing approaches to reinforcement learning are decoupled from structured search due to limited trajectory diversity.
Approach: They propose a unified RL framework that integrates multiple agents within a shared tree-structured search environment.
Outcome: Experiments show that MARS2 improves performance across diverse model combinations and training settings.

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