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Research questionHow can we evaluate LLM knowledge updates over time without contamination or inconsistent facts?Static pretraining leaves LLM knowledge increasingly outdated. Existing evaluations of knowledge editing can become contaminated or introduce counterfactual facts that conflict with the model’s established knowledge.
AI
Evaluation & Benchmarks
LLM Pretraining & Post-training
Natural Language Processing
Research Paper
Latest papersRecent research connected to this question, newest first.Synthetic Worlds for Temporal Evaluation and Knowledge Updating in LLMsThe source studies this problem with fictional but realistic future worlds containing coherent event trajectories, using model-generated synthetic data for parameter updates through mid-training and instruction tuning. Its evidence comes from this simulation-based setting and does not by itself establish performance on naturally occurring real-world updates.research paper · Sep 4, 2026
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