24 citations · 30 across the 9 of their papers we have counts for
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cs.CL2023
First-Step Advantage: Importance of Starting Right in Multi-Step Math Reasoning
Kushal Jain, Moritz Miller, Niket Tandon +1
Language models can solve complex reasoning tasks better by learning to generate rationales for their predictions. Often these models know how to solve a task but their auto-regres…
cs.AI2023★ 1 cited
SCREWS: A Modular Framework for Reasoning with Revisions
Kumar Shridhar, Harsh Jhamtani, Hao Fang +3
Large language models (LLMs) can improve their accuracy on various tasks through iteratively refining and revising their output based on feedback. We observe that these revisions c…