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Research questionHow should continual knowledge-updating methods be compared when rankings vary by time, adaptation capacity, and query formulation?A single endpoint score can favor one updating method even when another performs better earlier in the stream or with a different adaptation capacity. Query wording can further change the observed ordering, making quality difficult to summarize with one operating point.
AI
AI Memory
Evaluation & Benchmarks
Machine Learning
Natural Language Processing
Latest papersRecent research connected to this question, newest first.Beyond Endpoint Scores: Time- and Capacity-Conditioned Evaluation of Continual Knowledge UpdatingThe evidence covers a 24-month Wikidata stream, comparing a fixed periodic hierarchy with cumulative replay while varying evaluation month, replay LoRA rank, and query formulation on Qwen2.5-1.5B and Llama-3.2-1B, including held-out paraphrases. The findings are limited to these experiments and examine quality, retention or stability, and update-cost tradeoffs.research paper · Sep 3, 2026
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