My Paper Reviews For 2025
Published:
Alongside Deep Network’s meetings in 2025, our members wrote paper reviews, including reflections on the papers ideas and analysis of research standards.
I wrote several reviews, aiming to increase my critical reading skills and knowledge of the field:
Chain-of-Thought Prompting Elicits Reasoning in Large Language Models (Wei et al., 2022) - Link
Emergent Cooperation and Strategy Adaptation in Multi-Agent Systems: An Extended Coevolutionary Theory with LLMs (Zarzà et al., 2023) - Link
Computation Through Neural Population Dynamics (Vyas et al., 2020) - Link
A Practical Review of Mechanistic Interpretability for Transformer-Based Language Models (Rai et al., 2025) - Link
It’s About Time – Linking Dynamical Systems With Human Neuroimaging To Understand The Brain (John et al., 2022) - Link
On the Biology of a Large Language Model (Lindsey et al., 2025) - Link
Language Models Are Capable of Metacognition (Ji-An et al., 2025) - Link
These reviews helped me find my passion, and I’m now shifting my focus to producing material for Deep Network’s upcoming inductive bias seminar (details at www.deep-network.org), and researching multi-agent systems alignment for the Sydney AI Safety Fellowship. I don’t plan to author more paper reviews in the near term.