Papers by Heqing Huang

2 papers
When Efficiency Becomes a Vulnerability: Computational Cost Attacks on WebAgents (2026.acl-long)

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Challenge: Existing WebAgents suffer from computational cost attacks due to long reasoning processes and excessive computational cost.
Approach: They propose a framework that generates adversarial prompts and a reinforcement learning-enhanced selector to identify the most effective perturbations.
Outcome: The proposed framework exploits large language models to generate diverse adversarial prompts and a reinforcement learning–enhanced selector to identify the most effective perturbations.
LARA: LLM-based Agile Power Distribution Network Restoration from Disastrous Events (2026.findings-eacl)

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Challenge: a large language model generates high-level restoration plans over a compact catalogue of feasible actions.
Approach: They propose a method that generates restoration plans over a catalogue of feasible actions.
Outcome: The proposed model outperforms a time-capped solver on an IEEE 13-node power distribution feeder by 13% while using less than 1% of its wall-clock runtime.

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