Designing Safer LLM Agents: Key Issues from Recent Papers
Designing Safer LLM Agents: Key Issues from Recent Papers Recent papers on LLM-based agents are converging on a practical question: how should these systems be designed, and what kinds of failure appear once they are deployed in multi-step, tool-using, or multi-agent settings? The selected papers approach that question from different angles: a design framework that separates cognitive role from execution structure, an empirical study of hidden orchestrators in multi-agent systems, a study of when tool use is actually necessary, a planning method that combines plan validation with execution control, and a runtime verifier for long conversations. Taken together, they suggest that agent design is not only about capability, but also about structure, visibility, and verification. [S1][S2][S4][S6][S8] [S1] [S2] [S4] [S6] [S8] Recent papers and their shared context All five papers focus on LLM agents as systems that do more than generate one reply at a time. In these papers, agents may pla...