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Nicole Cho
Observed name:
Cho, Nicole
Institution:
J.P. Morgan
Observed institutions:
JPMorgan Chase & Co (United States),
J.P. Morgan
ORCID:
0009-0006-9007-3255
Observed ORCID:
0009-0006-9007-3255
OpenAlex ID:
A5084455404
FlowMind: Automatic Workflow Generation with LLMs
2023
·
Zhen Zeng
, William Watson
, et al.
·
ACM International Conference on AI in Finance (ICAIF)
·
43
PDF
Is There No Such Thing as a Bad Question? H4R: HalluciBot for Ratiocination, Rewriting, Ranking, and Routing
2025
·
William Watson
, Nicole Cho
, et al.
·
Proceedings of the AAAI Conference on Artificial Intelligence
·
2
PDF
LAW: Legal Agentic Workflows for Custody and Fund Services Contracts
2024
·
Watson, William
, Cho, Nicole
, et al.
·
arXiv (Cornell University)
·
2
PDF
HiddenTables and PyQTax: A Cooperative Game and Dataset For TableQA to Ensure Scale and Data Privacy Across a Myriad of Taxonomies
2023
·
William Watson
, Nicole Cho
, et al.
·
Conference on Empirical Methods in Natural Language Processing (EMNLP)
·
2
PDF
FISHNET: Financial Intelligence from Sub-querying, Harmonizing, Neural-Conditioning, Expert Swarms, and Task Planning
2024
·
Nicole Cho
, Nishan Srishankar
, et al.
·
ACM International Conference on AI in Finance (ICAIF)
·
1
PDF
Breaking Homogeneity: Diversifying Persona Sets for Creative LLM Outputs
2026
·
Moon, Sang Bin
, Cho, Nicole
, et al.
·
arXiv (Cornell University)
PDF
What Makes a Good Query? Measuring the Impact of Human-Confusing Linguistic Features on LLM Performance
2026
·
Association for Computational Linguistics 2026
, Cho, Nicole
, et al.
·
Underline Science Inc.
No One Size Fits All: QueryBandits for Hallucination Mitigation
2026
·
Cho, Nicole
, Watson, William
, et al.
·
arXiv (Cornell University)
PDF
What Makes a Good Query? Measuring the Impact of Human-Confusing Linguistic Features on LLM Performance
2026
·
Watson, William
, Cho, Nicole
, et al.
·
arXiv (Cornell University)
PDF
TASER: Table Agents for Schema-guided Extraction and Recommendation
2026
·
Nicole Cho
, Kirsty Fielding
, et al.
·
Conference of the European Chapter of the Association for Computational Linguistics
PDF
What Makes a Good Query? Measuring the Impact of Human-Confusing Linguistic Features on LLM Performance
2026
·
William Watson
, Nicole Cho
, et al.
·
Findings of the Association for Computational Linguistics: EACL
PDF
MultiQ&A: An Analysis in Measuring Robustness via Automated Crowdsourcing of Question Perturbations and Answers
2025
·
Cho, Nicole
, Watson, William
·
arXiv (Cornell University)
PDF
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Works count:
15
Citation count:
50
H-index:
2
I10-index:
1
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