Papers with completion rate

2 papers
PwnGPT: Automatic Exploit Generation Based on Large Language Models (2025.acl-long)

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Challenge: Automated exploit generation (AEG) is the automatic discovery and exploitation of vulnerabilities against unknown targets.
Approach: They propose an automatic exploit generation framework that automatically solves pwn challenges by using large language models.
Outcome: The proposed framework improves the completion rate of exploits on the openAI o1-preview model and the GPT-4o model.
TPS-Bench: Evaluating AI Agents’ Tool Planning & Scheduling Abilities in Compounding Tasks (2026.acl-long)

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Challenge: Large language model (LLM) agents have demonstrated strong problem-solving competence across domains like research and coding.
Approach: They propose to use a tool repository to analyze the ability of large language model agents to solve complex problems.
Outcome: The proposed model outperforms open-source and closed-source models in task completion rate and efficiency.

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