Chain-of-Thought Injection as an Inference-Time Safety Intervention
ICLR 2026 Workshop on Logical Reasoning of LLMs
Papers
Model Recycling: Model component reuse to promote in-context learning
NeurIPS 2024 SciForDL Workshop
Specialization-generalization transition in exemplar-based in-context learning
NeurIPS 2024 SciForDL Workshop
Learning continuous chaotic attractors with a reservoir computer
Chaos (2022) · Editor's Pick
Scilight press summaryRecent Presentations
American Physical Society (APS) Global Summit 2026
Talk: "Universality of LLM mechanisms across scale and diversity"
Conference abstractMeta 2025 PhD Forum
Poster: “ALICE: An Interpretable Neural Architecture for Generalization in Substitution Ciphers”
View posterAPS Global Summit 2025
Topical Group on Statistical and Nonlinear Physics (GSNP) Student Speaker Award Finalist
Talk: "Multi-Agent Debate: Analyzing Consensus in Networks of LLM Agents"
Conference abstractBackground
Previously, I was an undergraduate at the University of Pennsylvania where I majored in physics (with honors), minored in mathematics and French and Francophone studies, and graduated cum laude. My undergrad research advisor was Dani Bassett, and I researched human white matter brain networks, the human perception of the stars in the night sky, and abstraction in reservoir computers (a type of RNN).
Before undergrad, I worked on a project at WSU designing a flux spectrometer for the Deep Underground Neutrino Experiment (DUNE) at Fermilab, advised by Holger Meyer.
Contact
Email: lindsay.smith@princeton.edu.