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Refploit recovers 80.2% of Java vulnerability exploits by transforming failed agent trajectories into actionable insights, revealing the untapped potential of incomplete exploit attempts.
BOUND slashes package hallucination rates by nearly 80%, safeguarding LLM-assisted software development from potential supply chain attacks.
IntentTester achieves an 85% correctness rate in migrating unit tests across libraries and languages, revealing hidden defects that traditional methods miss.
Autonomous agents are driving millions of daily transactions, yet their growth is shackled by a fragile infrastructure that threatens the Web4 economy's sustainability.
Trustworthy memory search can significantly reduce vulnerabilities in personal AI agents without compromising their long-term memory utility.
Automating software maintenance by "migrating" solutions from other systems could dramatically reduce labor and errors.
