What Makes a Good Query? Measuring the Impact of Human-Confusing Linguistic Features on LLM Performance | ScienceToStartup | ScienceToStartup

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References (65)

[1]

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

2025Nicole Cho, William Watson

[2]

Is There No Such Thing as a Bad Question? H4R: HalluciBot for Ratiocination, Rewriting, Ranking, and Routing

2024William Watson, Nicole Cho et al.

[3]

Aligning Language Models to Explicitly Handle Ambiguity

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"Enhance LLM performance by identifying and rewriting query features that increase hallucination risks."

LLM Performance•Score: 6•View PDF ↗

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What Makes a Good Query? Measuring the Impact of Human-Confusing Linguistic Features on LLM Performance

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References (65)

Founder's Pitch

"Enhance LLM performance by identifying and rewriting query features that increase hallucination risks."

Commercial Viability Breakdown

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What Makes a Good Query? Measuring the Impact of Human-Confusing Linguistic Features on LLM Performance

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References (65)

Founder's Pitch

"Enhance LLM performance by identifying and rewriting query features that increase hallucination risks."

Commercial Viability Breakdown

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