Inside the Unfair Judge: A Mechanistic Interpretability Account of LLM-as-Judge
Existing studies of LLM-as-judge scoring bias work predominantly at the input-output level: they perturb inputs, measure score deltas, and propose prompt-level mitigations. We argue that the same biases admit a representation-level account
https://arxiv.org/abs/2607.11871v1 ↗Thesis fit
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Within your typical scope; diligence still required.
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None
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llm, ai
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Your thesis: “We back exceptional technical founders building AI-first products and infrastructure, deploying $100K checks within 24 hours.”
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Zixiang Xu
1.0
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Sixian Li
1.0
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Huaxing Liu
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Xiang Wang
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Shuai Li
1.0
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Zirui Song
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Xiuying Chen
1.0
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