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E. Agichtein

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Preprint Nov 2026

When the Plan Changes: A Strategic World Testbed for Dynamic Multi-Agent Coordination

Changing an objective does not automatically revise agents'earlier plans or delegated tasks. Acknowledgment can coexist with obsolete execution, while misleading instructions can redirect work or discard retained constraints. We present a Strategic World simulation testbed that separates authoritative objectives, local...

Joon-Seok Kim, E. Agichtein, Kai Shu et al. · 0 citations
#artificial intelligence Preprint Aug 2026

ExecRubrics: Executable Tool-Augmented Rubrics for Verifiable and Efficient Long-Form Evaluation

The results suggest a novel way of approaching automated evaluation, by offering a faster, more explainable, and less ambiguous alternative to black-box rubric evals, particularly in high-stakes domains such as healthcare and banking where precision and auditability are critical.

Kaustubh D. Dhole, Charles L. A. Clarke, E. Agichtein · 0 citations

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