5 citations · 8 across the 12 of their papers we have counts for
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q-fin.GN2024
The Promise and Peril of Generative AI: Evidence from GPT as Sell-Side Analysts
Edward Li, Min Shen, Zhiyuan Tu +1
Large language models (LLMs) promise to democratize financial analysis by reducing information-processing costs. Yet equal access does not ensure equal outcomes, as the locus of fr…
cs.CL2024
ToW: Thoughts of Words Improve Reasoning in Large Language Models
Zhikun Xu, Ming Shen, Jacob Dineen +6
We introduce thoughts of words (ToW), a novel training-time data-augmentation method for next-word prediction. ToW views next-word prediction as a core reasoning task and injects f…