Papers by Duy Tung Doan

1 papers
CollabCoder: Plan-Code Co-Evolution via Collaborative Decision-Making for Efficient Code Generation (2026.findings-acl)

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Challenge: Existing multi-agent code generation frameworks are constrained by static planning, isolated execution, high computational overhead, and limited adaptability to complex tasks.
Approach: They propose a plan-code co-evolution framework that allows dynamic multi-agent collaboration to improve code quality and robustness across tasks.
Outcome: The proposed framework improves code quality and robustness across tasks while reducing the number of API calls by an average of 4-10 per execution.

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