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Gowthamkumar Nandakishore

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#artificial intelligence Preprint Oct 2026

CLM-as-a-Judge: Evaluating an Open Contrastive Decision Model on Public Judge Benchmarks

An open contrastive decision model is near chance as a judge on the hard public benchmarks: Contrastive-LM/CLM-v0.1-8B scores between 0.351 (best- of-four, chance 0.250) and 0.593 (pairwise, chance 0.500), is statistically indistinguishable from coin flipping on RM-Bench and JudgeBench, and answers every HaluEval item...

Gowthamkumar Nandakishore · 0 citations
#artificial intelligence Preprint Sep 2026

Laya as a Typed Probabilistic Assessor: An Independent Reproduction and a Preregistered Study of Calibration and Selective Escalation

The shipped Laya Typed-Decisions checkpoint, a 421M-parameter ModernBERT-large assessor that answers typed choice/noul/score questions over workflow state, is uniformly under-confident. The signed confidence-accuracy gap is $-0.214$, every occupied reliability bin's accuracy exceeds its confidence, and that sign unifor...

Gowthamkumar Nandakishore · 1 citation

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