32 citations · 44 across the 3 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.AI2019
Model-Free Model Reconciliation
Sarath Sreedharan, Alberto Olmo, Aditya Prasad Mishra +1
Designing agents capable of explaining complex sequential decisions remain a significant open problem in automated decision-making. Recently, there has been a lot of interest in de…