no code implementations • NAACL (BEA) 2022 • Qinjin Jia, Yupeng Cao, Edward Gehringer
However, all these powerful algorithms have the same Achilles’ heel: the reliance on sufficient historical data.
no code implementations • 11 Apr 2024 • Yupeng Cao, Zhi Chen, Qingyun Pei, Fabrizio Dimino, Lorenzo Ausiello, Prashant Kumar, K. P. Subbalakshmi, Papa Momar Ndiaye
Through comparative experiments, we demonstrate how different data sources contribute to financial risk assessment and discuss the critical role of LLMs in this context.
no code implementations • 22 Feb 2024 • Yupeng Cao, Aishwarya Muralidharan Nair, Elyon Eyimife, Nastaran Jamalipour Soofi, K. P. Subbalakshmi, John R. Wullert II, Chumki Basu, David Shallcross
The central research question of this paper is whether it is possible to use large language models (LLMs) to detect misinformation in scientific reporting.
no code implementations • 29 Sep 2021 • Bingyang Wen, Yupeng Cao, Fan Yang, Koduvayur Subbalakshmi, Rajarathnam Chandramouli
The flexibility of this architecture is its capability to support different types of expert knowledge (e. g., complete or partial) about the causal nature of the underlying phenomenon.