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cs.AI2026
ImplicitHop: Evaluating knowledge integration across context and memory
Alexander Detkov, Dashiel Karish, Matthew Oleynikov +1
The ability to integrate new information and deduce its consequences is central to learning, understanding, and reasoning in large language models (LLMs). Whether information arriv…
cs.LG2026
Do World Models Learn Global Understanding?
Alexander Detkov, Matt Thomson
AI systems often feel brittle and fragmented. A large language model (LLM) may correctly explain a concept but fail to apply it, or follow safety instructions in one context but no…