Synthetic Worlds for Temporal Evaluation and Knowledge Updating in LLMs
This work proposes a synthetic, simulation-driven framework for studying knowledge insertion in LLMs, and introduces {\sc ParallelEvents}, a benchmark of fictional yet realistic future worlds that generates coherent event trajectories for controlled evaluation, avoiding contamination while preserving consistency.
Jonathan Zheng, Zi-Rui Shao, Alan Ritter et al.
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