Nicole Cho

Orcid: 0009-0006-9007-3255

According to our database1, Nicole Cho authored at least 12 papers between 2023 and 2026.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2026
No One Size Fits All: QueryBandits for Hallucination Mitigation.
CoRR, February, 2026

What Makes a Good Query? Measuring the Impact of Human-Confusing Linguistic Features on LLM Performance.
Proceedings of the Findings of the Association for Computational Linguistics: EACL 2026, 2026

TASER: Table Agents for Schema-guided Extraction and Recommendation.
Proceedings of the 19th Conference of the European Chapter of the Association for Computational Linguistics, 2026

2025
QueryBandits for Hallucination Mitigation: Exploiting Semantic Features for No-Regret Rewriting.
CoRR, August, 2025

MultiQ&A: An Analysis in Measuring Robustness via Automated Crowdsourcing of Question Perturbations and Answers.
CoRR, February, 2025

LAW: Legal Agentic Workflows for Custody and Fund Services Contracts.
Proceedings of the 31st International Conference on Computational Linguistics, 2025

Is There No Such Thing as a Bad Question? H4R: HalluciBot for Ratiocination, Rewriting, Ranking, and Routing.
Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

2024
HiddenTables & PyQTax: A Cooperative Game and Dataset For TableQA to Ensure Scale and Data Privacy Across a Myriad of Taxonomies.
CoRR, 2024

HalluciBot: Is There No Such Thing as a Bad Question?
CoRR, 2024

FISHNET: Financial Intelligence from Sub-querying, Harmonizing, Neural-Conditioning, Expert Swarms, and Task Planning.
Proceedings of the 5th ACM International Conference on AI in Finance, 2024

2023
FlowMind: Automatic Workflow Generation with LLMs.
Proceedings of the 4th ACM International Conference on AI in Finance, 2023

HiddenTables and PyQTax: A Cooperative Game and Dataset For TableQA to Ensure Scale and Data Privacy Across a Myriad of Taxonomies.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023


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