19 citations · 19 across the 2 of their papers we have counts for
2 papers
cs.LG2026
A Close Look At World Model Recovery In Supervised Fine-Tuned LLM Planners
Patrick Emami, Nan Qiang, Peter Graf
Supervised fine-tuning (SFT) improves end-to-end classical planning in large language models (LLMs), but do these models also learn to represent and reason about the planning probl…
quant-ph2021★ 19 cited
Small-world complex network generation on a digital quantum processor
Eric B. Jones, Logan E. Hillberry, Matthew T. Jones +9
Quantum cellular automata (QCA) evolve qubits in a quantum circuit depending only on the states of their neighborhoods and model how rich physical complexity can emerge from a simp…