arXiv CS
open access
Instructions Are Evidence, Not Objectives: Measuring Outcome Alignment of Agents
Large language model agents can follow complex human instructions to solve real-world tasks. In practice, however, initial instructions are often incomplete. In our analysis of 100 user-agent trajectories from SWE-chat, 56\% of initial instructions omit requirements that later emerge as necessary, a
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