Author

Yumin Choi

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#artificial intelligence Mar 2026

T-MAP: Red-Teaming LLM Agents with Trajectory-aware Evolutionary Search

A trajectory-aware evolutionary search method, T-MAP, which leverages execution trajectories to guide the discovery of adversarial prompts and enables the automatic generation of attacks that not only bypass safety guardrails but also reliably realize harmful objectives through actual tool interactions.

Hyomin Lee, Sangwoo Park, Yumin Choi et al. · arXiv.org · 8 citations · ⚡1

#artificial intelligence Preprint Aug 2026

Super Library Agent: Joint Generation and Maintenance of Multiple Applications Beyond the Single Codebase

This work introduces the Super Library Agent problem, where an agent sequentially generates a portfolio of N related applications while maintaining a shared Super Library of reusable cross-application components, and addresses candidate-guided extraction over code chunk summaries, pre-extraction codebase consolidation, and context-aware migration using extraction traces and call-graph information.

Daegyu Sung, Yukyeong Lee, Geon Park et al. · 0 citations