Who can we trust? LLM-as-a-jury for Comparative Assessment | ScienceToStartup | ScienceToStartup

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References (41)

[1]

TrustJudge: Inconsistencies of LLM-as-a-Judge and How to Alleviate Them

2025Yidong Wang, Yunze Song et al.

[2]

Generalised Probabilistic Modelling and Improved Uncertainty Estimation in Comparative LLM-as-a-judge

2025Yassir Fathullah, M. Gales

[3]

SkillAggregation: Reference-free LLM-Dependent Aggregation

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"Developing a more reliable AI jury system for evaluating natural language generation using a novel judge calibration method."

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Who can we trust? LLM-as-a-jury for Comparative Assessment

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References (41)

Founder's Pitch

"Developing a more reliable AI jury system for evaluating natural language generation using a novel judge calibration method."

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Who can we trust? LLM-as-a-jury for Comparative Assessment

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References (41)

Founder's Pitch

"Developing a more reliable AI jury system for evaluating natural language generation using a novel judge calibration method."

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