No One Size Fits All: QueryBandits for Hallucination Mitigation | ScienceToStartup | ScienceToStartup

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References (100)

[1]

MultiQ&A: An Analysis in Measuring Robustness via Automated Crowdsourcing of Question Perturbations and Answers

2025Nicole Cho, William Watson

[2]

LAW: Legal Agentic Workflows for Custody and Fund Services Contracts

2024William Watson, Nicole Cho et al.

[3]

FISHNET: Financial Intelligence from Sub-querying, Harmonizing, Neural-Conditioning, Expert Swarms, and Task Planning

Founder's Pitch

"QueryBandits offers a novel framework for mitigating LLM hallucinations using adaptive query-rewrite strategies, enhancing performance without retraining models."

LLM Applications•Score: 7•View PDF ↗

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No One Size Fits All: QueryBandits for Hallucination Mitigation

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References (100)

Founder's Pitch

"QueryBandits offers a novel framework for mitigating LLM hallucinations using adaptive query-rewrite strategies, enhancing performance without retraining models."

Commercial Viability Breakdown

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No One Size Fits All: QueryBandits for Hallucination Mitigation

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References (100)

Founder's Pitch

"QueryBandits offers a novel framework for mitigating LLM hallucinations using adaptive query-rewrite strategies, enhancing performance without retraining models."

Commercial Viability Breakdown

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