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How Does Post-Training Shape LLM Value Preferences?
Yang Liu, Shaoyang Xu, Masahiro Kaneko +3
During post-training, large language models (LLMs) learn value preferences from corpora that may contain imbalanced proportions of opinions associated with different demographic gr…
Beyond Alignment: Value Diversity as a Collective Property in Multicultural Agent Systems
Shaoyang Xu, Jingshen Zhang, Long P. Hoang +2
Multicultural multi-agent systems are increasingly deployed in globally diverse settings, where different agents are grounded in different cultural backgrounds. Existing cultural e…
Process Rewards with Learned Reliability
Jinyuan Li, Langlin Huang, Chengsong Huang +5
Process Reward Models (PRMs) provide step-level feedback for reasoning, but current PRMs usually output only a single reward score for each step. Downstream methods must therefore…