Unlocking Multilingual Reasoning Capabilities of LLMs and LVLMs via Representation Engineering
Qi-Ming Li, Xiao-Cheng Feng, Yi-Xuan Ma et al.
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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.
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ACTD: Anchor-Based Cross-Tokenizer Distillation with Residual Regularization
An Anchor-Based Cross-Tokenizer Distillation with Residual Regularization with Residual Regularization (ACTD) bridges structural heterogeneity through vocabulary and sequence alignment, while mitigating alignment noise via a novel anchor loss with residual regularization.
Huiyi Zhang, Zijian Li, Xiao-Cheng Feng et al.
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