Papers by Pin Lyu

2 papers
Tree-of-Code: A Self-Growing Tree Framework for End-to-End Code Generation and Execution in Complex Tasks (2025.findings-acl)

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Challenge: Effectively and efficiently handling complex realworld problems has become a key focus across industry and academia.
Approach: They propose a tree-of-code framework that generates nodes through self-supervision and combines prompt and model exploration in a GT-free setting.
Outcome: Experiments on two datasets with ten popular zero-shot LLMs show that Tree-of-Code boosts accuracy by nearly 20% over CodeAct with fewer than 1/4 turns.
SafetyMem: Adaptive Jailbreak Defense via Dual-Component Safety Memory (2026.acl-long)

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Challenge: Existing defenses for Large Language Models suffer from a 'memory gap' parameter-modifying methods are computationally expensive and inference-time filters cannot retain or reuse defense knowledge across interactions.
Approach: They propose a framework that secures Large Language Models through a dual-component safety memory system.
Outcome: The proposed framework significantly reduces attack success rates while preserving interpretability and efficiency.

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