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Your Reward Model Is Also a Voting Rule: What Social Choice Changes About RLHF

TL;DR for operators When thousands of annotators disagree about two acceptable model responses, the pipeline still has to decide how that disagreement becomes model behavior. That decision is often hidden inside familiar technical choices: how comparisons are sampled, whether votes are collapsed into majority labels, which reward-model class is fitted, and how aggressively a policy is optimized against the resulting score. ...

September 16, 2026 · 8 min · Zelina
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Value Collision Course: When LLM Alignment Plays Favorites

A support chatbot does not wake up one morning with a worldview. It gets one, slowly, through the dull machinery of product decisions: who labels the data, how many options they can choose from, whether disagreement is kept or ironed flat, and which optimization method gets the privilege of turning messy human judgement into model behaviour. ...

November 20, 2025 · 14 min · Zelina