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cs.GT2026
Common-agency Games for Multi-Objective Test-Time Alignment
Baiting Chen, Tong Zhu, Rui Yu +1
Aligning large language models (LLMs) with human preferences is inherently multi-objective: different users and evaluation criteria impose heterogeneous and often conflicting requi…
cs.GT2026
Mechanism Design for Quality-Preserving LLM Advertising
Jiale Han, Xiaowu Dai
Embedding advertisements into large language model (LLM) outputs introduces a fundamental tension: revenue optimization can distort content and degrade user experience. Existing ap…
cs.CL2026
Prompt-Dependent Ranking of Large Language Models with Uncertainty Quantification
Angel Rodrigo Avelar Menendez, Yufeng Liu, Xiaowu Dai
Rankings derived from pairwise comparisons are central to many economic and computational systems. In the context of large language models (LLMs), rankings are typically constructe…