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cs.LG2026
Response Time Enhances Alignment with Heterogeneous Preferences
Federico Echenique, Alireza Fallah, Baihe Huang +1
Aligning large language models (LLMs) to human preferences typically relies on aggregating pooled feedback into a single reward model. However, this standard approach assumes that…
cs.GT2026
Signaling in Data Markets via Free Samples
Nivasini Ananthakrishnan, Alireza Fallah, Michael I. Jordan
We study a setting in which a data buyer seeks to estimate an unknown parameter by purchasing samples from one of K data sellers. Each seller has privately known data quality (e.g.…