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Ze-Kun Yuan

2 papers indexed here

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#natural language process... Preprint Oct 2026

Adaptive Mutual Distillation for Balanced Multi-Task Post-Training of Large Language Models

Multi-task post-training of large language models (LLMs) aims to improve performance across tasks with unequal amounts of training data. Existing methods focus primarily on balancing task contributions during single-model training. Different task-balancing strategies can produce models with complementary strengths, cre...

Bao-Hang Li, Xiao-Cheng Feng, Yi-Chong Huang et al. · 0 citations
#natural language process... Preprint Sep 2026

CRISP: Cultural Reward Modeling for Implicit Situated Propriety

A culturally situated reward model that assigns rewards according to cultural appropriateness in open-ended social scenarios, and a collaborative multi-agent framework that instantiates implicit cultural norms into diverse social scenarios to construct culturally situated data are introduced.

Ze-Kun Yuan, Yang-Fan Ye, Bao-Hang Li et al. · 0 citations

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