39 citations · 39 across the 2 of their papers we have counts for
2 papers
cs.AI2023★ 39 cited
Boosting Theory-of-Mind Performance in Large Language Models via Prompting
Shima Rahimi Moghaddam, Christopher J. Honey
Large language models (LLMs) excel in many tasks in 2023, but they still face challenges in complex reasoning. Theory-of-mind (ToM) tasks, which require understanding agents' belie…
cs.LG2020
Consequences of Slow Neural Dynamics for Incremental Learning
Shima Rahimi Moghaddam, Fanjun Bu, Christopher J. Honey
In the human brain, internal states are often correlated over time (due to local recurrence and other intrinsic circuit properties), punctuated by abrupt transitions. At first glan…