Ciaran Regan

2 accepted papers

2026

Discovering Novel LLM Experts via Task-Capability Coevolution

Andrew Dai, Boris Meinardus, Ciaran Regan, Yingtao Tian, Yujin Tang

ICLR 2026poster

Frontier model developers aim to train models continually to possess emergent, diverse capabilities. To extend capabilities, the current pre-training and post-training paradigm requires manually starting training runs with static datasets or reward functions every time. Addressing this limitation,…

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2025

Continuous Thought Machines

Luke Nicholas Darlow, Ciaran Regan, Sebastian Risi, Jeffrey Seely, Llion Jones

NeurIPS 2025spotlight

Biological brains demonstrate complex neural activity, where neural dynamics are critical to how brains process information. Most artificial neural networks ignore the complexity of individual neurons. We challenge that paradigm. By incorporating neuron-level processing and synchronization, we reint…

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