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cs.AI2026
AI Alignment From Social Choice Perspectives
Daniel Halpern, Evi Micha, Ariel D. Procaccia +3
Alignment from human feedback uses human judgments about model outputs to steer the behavior of language models after pretraining. When those judgments reflect conflicting views of…
cs.GT2026
Linear Social Choice with Few Queries: A Moment-Based Approach
Luise Ge, Daniel Halpern, Gregory Kehne +1
Most social choice rules assume access to full rankings, while current alignment practice -- despite aiming for diversity -- typically treats voters as anonymous and comparisons as…
cs.LG2026
Robust AI Evaluation through Maximal Lotteries
Hadi Khalaf, Serena L. Wang, Daniel Halpern +3
The standard way to evaluate language models on subjective tasks is through pairwise comparisons: an annotator chooses the "better" of two responses to a prompt. Leaderboards aggre…