32 citations · 34 across the 2 of their papers we have counts for
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cs.AI2023★ 32 cited
On the Planning Abilities of Large Language Models (A Critical Investigation with a Proposed Benchmark)
Karthik Valmeekam, Sarath Sreedharan, Matthew Marquez +2
Intrigued by the claims of emergent reasoning capabilities in LLMs trained on general web corpora, in this paper, we set out to investigate their planning capabilities. We aim to e…
cs.AI2023★ 2 cited
Goal Alignment: A Human-Aware Account of Value Alignment Problem
Malek Mechergui, Sarath Sreedharan
Value alignment problems arise in scenarios where the specified objectives of an AI agent don't match the true underlying objective of its users. The problem has been widely argued…