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cs.AI2026
Small Foundation Models of Human Cognition and Behaviour
Nick Oh, Fernand Gobet
Large language models fine-tuned on human behavioural data have emerged as general-purpose cognitive proxies, but the scale this requires, and whether these models process task str…
cs.AI2025
Monitor-Generate-Verify (MGV): Formalising Metacognitive Theory for Language Model Reasoning
Nick Oh, Fernand Gobet
Test-time reasoning architectures such as those following the Generate-Verify paradigm, where a model iteratively refines or verifies its own generated outputs, prioritise generati…
cs.AI2025
Before you <think>, monitor: Implementing Flavell's metacognitive framework in LLMs
Nick Oh
Current approaches to enhancing LLM reasoning follows two isolated paradigms: Monitor-Generate methods like Plan-and-Solve (Wang et al., 2023) and SELF-DISCOVER (Zhou et al., 2024)…